Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Process Address Space: The way to create virtual address (page table) of user...Adrian Huang
Process Address Space: The way to create virtual address (page table) of userspace application.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Page cache mechanism in Linux kernel.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Reverse Mapping (rmap) in Linux KernelAdrian Huang
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
The document describes a memory management system using memory folios to address problems with legacy page caching and compound pages. Memory folios provide a unified interface for accessing pages and simplify operations on high-order and compound pages. Folios also improve page cache performance by maintaining a shorter LRU list with one entry per folio rather than per page.
Virtual File System in Linux Kernel
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
The document discusses four physical memory models in Linux: flat memory model, discontinuous memory model, sparse memory model, and sparse memory virtual memmap. It describes how each model addresses physical memory (page frames) and maps them to page descriptors. The sparse memory model is currently used, using memory sections to allocate page structures and support memory hotplug. It initializes by walking memory ranges from memblocks and allocating/initializing mem_section data structures.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
qemu + gdb: The efficient way to understand/debug Linux kernel code/data stru...Adrian Huang
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Decompressed vmlinux: linux kernel initialization from page table configurati...Adrian Huang
Talk about how Linux kernel initializes the page table.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
The document summarizes Linux synchronization mechanisms including semaphores and mutexes. It discusses:
1. Semaphores can be used to solve producer-consumer problems and are implemented using a count and wait list.
2. Mutexes enforce serialization on shared memory and have fast, mid, and slow paths for lock and unlock. The mid path uses optimistic spinning and OSQs.
3. Only the lock owner can unlock a mutex, and mutexes transition to the slow path if the owner is preempted, a spinner is preempted, or the owner sleeps.
Vmlinux: anatomy of bzimage and how x86 64 processor is bootedAdrian Huang
This slide deck describes the Linux booting flow for x86_64 processors.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
qemu + gdb + sample_code: Run sample code in QEMU OS and observe Linux Kernel...Adrian Huang
This document describes setting up a QEMU virtual machine with Ubuntu 20.04.1 to debug Linux kernel code using gdb. It has a 2-socket CPU configuration with 16GB of memory and disabled KASAN and ASLR. The QEMU VM can be used to run sample code and observe Linux kernel behavior under gdb, such as setting conditional breakpoints to analyze page fault behavior for mmap addresses by referencing a gdb debugging text file.
Основные темы, затронутые на семинаре:
Задачи и компоненты подсистемы управления памятью;
Аппаратные возможности платформы x86_64;
Как описывается в ядре физическая и виртуальная память;
API подсистемы управления памятью;
Высвобождение ранее занятой памяти;
Инструменты мониторинга;
Memory Cgroups;
Compaction — дефрагментация физической памяти.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
The document discusses ioremap and mmap functions in Linux for mapping physical addresses into the virtual address space. Ioremap is used when physical addresses are larger than the virtual address space size. It maps physical addresses to virtual addresses that can be accessed by the CPU. Mmap allows a process to map pages of a file into virtual memory. It is useful for reducing memory copies and improving performance of file read/write operations. The document outlines the functions, flags, and flows of ioremap, mmap, and implementing a custom mmap file operation for direct physical memory mapping.
Continguous Memory Allocator in the Linux KernelKernel TLV
Agenda:
Continguous Memory Allocator - how to allocate large continguous memory for large scale DMA in the kernel.
Speaker:
Mark Veltzer - CTO of Hinbit and a senior instructor at John Bryce. Mark is also a member of the Free Source Foundation and contributes to many free projects.
This document discusses Linux memory management. It outlines the buddy system, zone allocation, and slab allocator used by Linux to manage physical memory. It describes how pages are allocated and initialized at boot using the memory map. The slab allocator is used to optimize allocation of kernel objects and is implemented as caches of fixed-size slabs and objects. Per-CPU allocation improves performance by reducing locking and cache invalidations.
Talk by Brendan Gregg for USENIX LISA 2019: Linux Systems Performance. Abstract: "
Systems performance is an effective discipline for performance analysis and tuning, and can help you find performance wins for your applications and the kernel. However, most of us are not performance or kernel engineers, and have limited time to study this topic. This talk summarizes the topic for everyone, touring six important areas of Linux systems performance: observability tools, methodologies, benchmarking, profiling, tracing, and tuning. Included are recipes for Linux performance analysis and tuning (using vmstat, mpstat, iostat, etc), overviews of complex areas including profiling (perf_events) and tracing (Ftrace, bcc/BPF, and bpftrace/BPF), and much advice about what is and isn't important to learn. This talk is aimed at everyone: developers, operations, sysadmins, etc, and in any environment running Linux, bare metal or the cloud."
The document provides an overview of the initialization phase of the Linux kernel. It discusses how the kernel enables paging to transition from physical to virtual memory addresses. It then describes the various initialization functions that are called by start_kernel to initialize kernel features and architecture-specific code. Some key initialization tasks discussed include creating an identity page table, clearing BSS, and reserving BIOS memory.
Linux Memory Management with CMA (Contiguous Memory Allocator)Pankaj Suryawanshi
Fundamentals of Linux Memory Management and CMA (Contiguous Memory Allocator) In Linux.
Virtual Memory, Physical Memory, Swap Space, DMA, IOMMU, Paging, Segmentation, TLB, Hugepages, Ion google memory manager
Kdump and the kernel crash dump analysisBuland Singh
Kdump is a kernel crash dumping mechanism that uses kexec to load a separate crash kernel to capture a kernel memory dump (vmcore file) when the primary kernel crashes. It can be configured to dump the vmcore file to local storage or over the network. Testing involves triggering a kernel panic using SysRq keys which causes the crash kernel to load and dump diagnostic information to the configured target path for analysis.
Kernel Recipes 2017 - Understanding the Linux kernel via ftrace - Steven RostedtAnne Nicolas
Ftrace is the official tracer of the Linux kernel. It has been apart of Linux since 2.6.31, and has grown tremendously ever since. Ftrace’s name comes from its most powerful feature: function tracing. But the ftrace infrastructure is much more than that. It also encompasses the trace events that are used by perf, as well as kprobes that can dynamically add trace events that the user defines.
This talk will focus on learning how the kernel works by using the ftrace infrastructure. It will show how to see what happens within the kernel during a system call; learn how interrupts work; see how ones processes are being scheduled, and more. A quick introduction to some tools like trace-cmd and KernelShark will also be demonstrated.
Steven Rostedt, VMware
The document provides an overview of the initialization process in the Linux kernel from start_kernel to rest_init. It lists the functions called during this process organized by category including functions for initialization of multiprocessor support (SMP), memory management (MM), scheduling, timers, interrupts, and architecture specific setup. The setup_arch section focuses on x86 architecture specific initialization functions such as reserving memory regions, parsing boot parameters, initializing memory mapping and MTRRs.
Linux Performance Analysis: New Tools and Old SecretsBrendan Gregg
Talk for USENIX/LISA2014 by Brendan Gregg, Netflix. At Netflix performance is crucial, and we use many high to low level tools to analyze our stack in different ways. In this talk, I will introduce new system observability tools we are using at Netflix, which I've ported from my DTraceToolkit, and are intended for our Linux 3.2 cloud instances. These show that Linux can do more than you may think, by using creative hacks and workarounds with existing kernel features (ftrace, perf_events). While these are solving issues on current versions of Linux, I'll also briefly summarize the future in this space: eBPF, ktap, SystemTap, sysdig, etc.
Linux Synchronization Mechanism: RCU (Read Copy Update)Adrian Huang
RCU (Read-Copy-Update) is a synchronization mechanism that allows for lock-free reads with concurrent updates. It achieves this through a combination of temporal and spatial synchronization. Temporal synchronization uses rcu_read_lock() and rcu_read_unlock() for readers, and synchronize_rcu() or call_rcu() for updaters. Spatial synchronization uses rcu_dereference() for readers to safely load pointers, and rcu_assign_pointer() for updaters to safely update pointers. RCU guarantees that readers will either see the old or new version of data, but not a partially updated version.
This document discusses memory mapping in Linux. It provides information on:
- How the MMU translates virtual addresses to physical addresses using page tables
- The role of the kernel and page table structures like PGD, PUD, PMD, PTE in defining memory mappings
- How kernel logical addresses provide a linear mapping of kernel memory to physical addresses
- Data structures used to represent pages of memory (struct page) and memory mappings (vm_area_struct)
- Functions and operations for working with page tables and memory mappings like remap_pfn_range() and fault()
- Common uses of memory mapping by device drivers to provide user access to devices or share buffers
The document summarizes key aspects of memory management in Linux, including:
- Linux uses a virtual memory model with pages divided between user and kernel space.
- The mm_struct data structure describes each process's address space.
- Virtual addresses are mapped to physical addresses using page tables with entries for page directories, middle directories, and tables.
- Functions like kmalloc and vmalloc allocate memory in kernel space from either physically contiguous or non-contiguous pages.
qemu + gdb: The efficient way to understand/debug Linux kernel code/data stru...Adrian Huang
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Decompressed vmlinux: linux kernel initialization from page table configurati...Adrian Huang
Talk about how Linux kernel initializes the page table.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
The document summarizes Linux synchronization mechanisms including semaphores and mutexes. It discusses:
1. Semaphores can be used to solve producer-consumer problems and are implemented using a count and wait list.
2. Mutexes enforce serialization on shared memory and have fast, mid, and slow paths for lock and unlock. The mid path uses optimistic spinning and OSQs.
3. Only the lock owner can unlock a mutex, and mutexes transition to the slow path if the owner is preempted, a spinner is preempted, or the owner sleeps.
Vmlinux: anatomy of bzimage and how x86 64 processor is bootedAdrian Huang
This slide deck describes the Linux booting flow for x86_64 processors.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
qemu + gdb + sample_code: Run sample code in QEMU OS and observe Linux Kernel...Adrian Huang
This document describes setting up a QEMU virtual machine with Ubuntu 20.04.1 to debug Linux kernel code using gdb. It has a 2-socket CPU configuration with 16GB of memory and disabled KASAN and ASLR. The QEMU VM can be used to run sample code and observe Linux kernel behavior under gdb, such as setting conditional breakpoints to analyze page fault behavior for mmap addresses by referencing a gdb debugging text file.
Основные темы, затронутые на семинаре:
Задачи и компоненты подсистемы управления памятью;
Аппаратные возможности платформы x86_64;
Как описывается в ядре физическая и виртуальная память;
API подсистемы управления памятью;
Высвобождение ранее занятой памяти;
Инструменты мониторинга;
Memory Cgroups;
Compaction — дефрагментация физической памяти.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
The document discusses ioremap and mmap functions in Linux for mapping physical addresses into the virtual address space. Ioremap is used when physical addresses are larger than the virtual address space size. It maps physical addresses to virtual addresses that can be accessed by the CPU. Mmap allows a process to map pages of a file into virtual memory. It is useful for reducing memory copies and improving performance of file read/write operations. The document outlines the functions, flags, and flows of ioremap, mmap, and implementing a custom mmap file operation for direct physical memory mapping.
Continguous Memory Allocator in the Linux KernelKernel TLV
Agenda:
Continguous Memory Allocator - how to allocate large continguous memory for large scale DMA in the kernel.
Speaker:
Mark Veltzer - CTO of Hinbit and a senior instructor at John Bryce. Mark is also a member of the Free Source Foundation and contributes to many free projects.
This document discusses Linux memory management. It outlines the buddy system, zone allocation, and slab allocator used by Linux to manage physical memory. It describes how pages are allocated and initialized at boot using the memory map. The slab allocator is used to optimize allocation of kernel objects and is implemented as caches of fixed-size slabs and objects. Per-CPU allocation improves performance by reducing locking and cache invalidations.
Talk by Brendan Gregg for USENIX LISA 2019: Linux Systems Performance. Abstract: "
Systems performance is an effective discipline for performance analysis and tuning, and can help you find performance wins for your applications and the kernel. However, most of us are not performance or kernel engineers, and have limited time to study this topic. This talk summarizes the topic for everyone, touring six important areas of Linux systems performance: observability tools, methodologies, benchmarking, profiling, tracing, and tuning. Included are recipes for Linux performance analysis and tuning (using vmstat, mpstat, iostat, etc), overviews of complex areas including profiling (perf_events) and tracing (Ftrace, bcc/BPF, and bpftrace/BPF), and much advice about what is and isn't important to learn. This talk is aimed at everyone: developers, operations, sysadmins, etc, and in any environment running Linux, bare metal or the cloud."
The document provides an overview of the initialization phase of the Linux kernel. It discusses how the kernel enables paging to transition from physical to virtual memory addresses. It then describes the various initialization functions that are called by start_kernel to initialize kernel features and architecture-specific code. Some key initialization tasks discussed include creating an identity page table, clearing BSS, and reserving BIOS memory.
Linux Memory Management with CMA (Contiguous Memory Allocator)Pankaj Suryawanshi
Fundamentals of Linux Memory Management and CMA (Contiguous Memory Allocator) In Linux.
Virtual Memory, Physical Memory, Swap Space, DMA, IOMMU, Paging, Segmentation, TLB, Hugepages, Ion google memory manager
Kdump and the kernel crash dump analysisBuland Singh
Kdump is a kernel crash dumping mechanism that uses kexec to load a separate crash kernel to capture a kernel memory dump (vmcore file) when the primary kernel crashes. It can be configured to dump the vmcore file to local storage or over the network. Testing involves triggering a kernel panic using SysRq keys which causes the crash kernel to load and dump diagnostic information to the configured target path for analysis.
Kernel Recipes 2017 - Understanding the Linux kernel via ftrace - Steven RostedtAnne Nicolas
Ftrace is the official tracer of the Linux kernel. It has been apart of Linux since 2.6.31, and has grown tremendously ever since. Ftrace’s name comes from its most powerful feature: function tracing. But the ftrace infrastructure is much more than that. It also encompasses the trace events that are used by perf, as well as kprobes that can dynamically add trace events that the user defines.
This talk will focus on learning how the kernel works by using the ftrace infrastructure. It will show how to see what happens within the kernel during a system call; learn how interrupts work; see how ones processes are being scheduled, and more. A quick introduction to some tools like trace-cmd and KernelShark will also be demonstrated.
Steven Rostedt, VMware
The document provides an overview of the initialization process in the Linux kernel from start_kernel to rest_init. It lists the functions called during this process organized by category including functions for initialization of multiprocessor support (SMP), memory management (MM), scheduling, timers, interrupts, and architecture specific setup. The setup_arch section focuses on x86 architecture specific initialization functions such as reserving memory regions, parsing boot parameters, initializing memory mapping and MTRRs.
Linux Performance Analysis: New Tools and Old SecretsBrendan Gregg
Talk for USENIX/LISA2014 by Brendan Gregg, Netflix. At Netflix performance is crucial, and we use many high to low level tools to analyze our stack in different ways. In this talk, I will introduce new system observability tools we are using at Netflix, which I've ported from my DTraceToolkit, and are intended for our Linux 3.2 cloud instances. These show that Linux can do more than you may think, by using creative hacks and workarounds with existing kernel features (ftrace, perf_events). While these are solving issues on current versions of Linux, I'll also briefly summarize the future in this space: eBPF, ktap, SystemTap, sysdig, etc.
Linux Synchronization Mechanism: RCU (Read Copy Update)Adrian Huang
RCU (Read-Copy-Update) is a synchronization mechanism that allows for lock-free reads with concurrent updates. It achieves this through a combination of temporal and spatial synchronization. Temporal synchronization uses rcu_read_lock() and rcu_read_unlock() for readers, and synchronize_rcu() or call_rcu() for updaters. Spatial synchronization uses rcu_dereference() for readers to safely load pointers, and rcu_assign_pointer() for updaters to safely update pointers. RCU guarantees that readers will either see the old or new version of data, but not a partially updated version.
This document discusses memory mapping in Linux. It provides information on:
- How the MMU translates virtual addresses to physical addresses using page tables
- The role of the kernel and page table structures like PGD, PUD, PMD, PTE in defining memory mappings
- How kernel logical addresses provide a linear mapping of kernel memory to physical addresses
- Data structures used to represent pages of memory (struct page) and memory mappings (vm_area_struct)
- Functions and operations for working with page tables and memory mappings like remap_pfn_range() and fault()
- Common uses of memory mapping by device drivers to provide user access to devices or share buffers
The document summarizes key aspects of memory management in Linux, including:
- Linux uses a virtual memory model with pages divided between user and kernel space.
- The mm_struct data structure describes each process's address space.
- Virtual addresses are mapped to physical addresses using page tables with entries for page directories, middle directories, and tables.
- Functions like kmalloc and vmalloc allocate memory in kernel space from either physically contiguous or non-contiguous pages.
Experience on porting HIGHMEM and KASAN to RISC-V at COSCUP 2020Eric Lin
The document discusses porting Generic KASAN (Kernel Address SANitizer) to RISC-V Linux. It explains that Generic KASAN uses 1/8th of kernel memory for shadow memory and how to decide the shadow memory addresses for RISC-V. It also describes initializing the shadow memory mapping in early stage and mapping uncheckable areas to the early shadow page. The key steps are translating memory addresses to shadow addresses, allocating physical space for shadow memory, and poisoning the shadow memory. Patches for porting Generic KASAN to RISC-V were submitted to the Linux kernel mailing list.
The document summarizes Linux memory management architecture. It has two parts - an architecture independent memory model and implementation for a specific architecture. The memory model divides virtual address space into pages and uses page tables to map virtual to physical addresses. It also describes data structures like page table entries and region descriptors that track memory mappings.
The document summarizes key concepts about virtual memory, including:
1) Virtual memory allows processes to execute even if not entirely in physical memory by automatically allocating storage upon request, creating the illusion of large contiguous memory spaces.
2) Common virtual memory implementations include paging, segmentation, and paging with segmentation. Paging divides memory into fixed-size pages while segmentation uses multiple logical segments.
3) Issues in virtual memory design include address mapping, placement, replacement, load control, and sharing. Translation lookaside buffers help speed up address translation.
COSCUP 2020 RISC-V 32 bit linux highmem portingEric Lin
- The document discusses porting HIGHMEM support to 32-bit RISC-V Linux to allow the kernel to access physical memory above 896MB. It involves deciding the memory layout, creating a PKMAP region for temporary mappings, allocating FIXMAP slots for kmap_atomic(), and setting up a page table for the PKMAP region. However, maintaining HIGHMEM comes with performance costs and some upstream developers prefer to avoid it on new architectures if possible.
The document discusses Windows memory and cache manager internals. It covers several topics:
- The virtual memory manager (VMM) abstracts physical memory to make it feel infinite to applications. It protects OS memory and enables memory sharing between applications.
- Paging is used to divide physical memory into equal size pages. Address translation uses page directories (PDEs) and page tables (PTEs) along with a translation lookaside buffer (TLB) for faster lookups.
- The cache manager improves performance by caching frequently used disk blocks in physical memory. It facilitates read-ahead and write-back caching to reduce disk access.
This document discusses the file and buffer manager components of a database system. It describes how the file manager provides abstractions like device, allocation, and address independence. It also explains how the buffer manager caches data from external storage in main memory using techniques like logging, locking, and checkpointing to ensure data integrity and concurrency control during transaction processing. Key aspects of the buffer manager covered include its interface, replacement policies, and how it supports recovery through logging and maintaining page-level write-ahead logs.
The document discusses various techniques for memory management including basic memory management without swapping or paging, multiprogramming with fixed partitions, swapping, paging, segmentation, page replacement algorithms like FIFO, LRU, and working set, and design issues for paging systems like page size, separate instruction and data spaces, and implementation issues like page fault handling.
This document discusses various methods for allocating memory in the Linux kernel, including kmalloc, get_free_page, vmalloc, slab allocators, and memory pools. It explains that kmalloc allocates contiguous virtual and physical pages but can degrade performance for large allocations. get_free_page allocates physical pages without clearing memory. Slab allocators improve performance by grouping allocations of similar sizes. vmalloc allocates virtually contiguous regions that are not necessarily physically contiguous. Memory pools reserve memory to guarantee allocation success but can be wasteful.
The document discusses disk caches in Linux, including:
- Traditional Linux designs used separate buffer and page caches, requiring synchronization between caches.
- Modern Linux unified the caches into a single page cache to avoid synchronization overhead and better support NFS.
- The page cache uses radix trees for fast lookup of pages indexed by their address space and page offset. Tags on radix tree nodes track dirty and writeback pages.
This document discusses various memory management techniques including basic memory management, swapping, virtual memory, page replacement algorithms, segmentation, and the implementation of paging systems. It covers topics such as fixed and variable memory partitioning, page tables, segmentation, page replacement algorithms like FIFO, LRU and working set, and the role of the operating system in memory management.
Vous avez récemment commencé à travailler sur Spark et vos jobs prennent une éternité pour se terminer ? Cette présentation est faite pour vous.
Himanshu Arora et Nitya Nand YADAV ont rassemblé de nombreuses bonnes pratiques, optimisations et ajustements qu'ils ont appliqué au fil des années en production pour rendre leurs jobs plus rapides et moins consommateurs de ressources.
Dans cette présentation, ils nous apprennent les techniques avancées d'optimisation de Spark, les formats de sérialisation des données, les formats de stockage, les optimisations hardware, contrôle sur la parallélisme, paramétrages de resource manager, meilleur data localité et l'optimisation du GC etc.
Ils nous font découvrir également l'utilisation appropriée de RDD, DataFrame et Dataset afin de bénéficier pleinement des optimisations internes apportées par Spark.
This document provides an overview of NVM compression, a hybrid flash-aware application level compression solution. It discusses the drawbacks of existing row-level compression in MySQL and outlines an architecture for NVM compression that avoids these drawbacks. Key aspects of the NVM compression approach include performing compression only during flush, using sparse addressing to avoid over-provisioning flash space, and adding a new multi-threaded flush framework. Evaluation results and building blocks of the solution are also briefly mentioned.
Revisiting CephFS MDS and mClock QoS SchedulerYongseok Oh
This presents the CephFS performance scalability and evaluation results. Specifically, it addresses some technical issues such as multi core scalability, cache size, static pinning, recovery, and QoS.
Assignment of SOS operating systemThe file lmemman.c has one incom.pdfsktambifortune
Assignment of SOS operating system
The file lmemman.c has one incomplete function with TODO blocks. Finish these blocks to
complete the assignment.
bool init_logical_memory(PCB *p, uint32_t code_size);
This function initializes a process’ logical address space. This involves allocating frames for the
process code, stacks, page directory and page tables, and then setting them up. The PCB is
passed in the argument p, and the number of bytes in the process’ code and data is in the
argument code_size. The function should return TRUE if all goes well; otherwise FALSE. Any
frames allocated in the function must be freed if FALSE is returned.
This should be able to work under SOS operating system.
Here is the lmenman.c file:
////////////////////////////////////////////////////////
// The NAIVE Logical Memory Manager
//
// Divides memory into 4KB pages and allocates from them
#include \"kernel_only.h\"
// kernel page directory will be placed at frame 257
PDE *k_page_directory = (PDE *)(0xC0101000);
// page table entries for the 768th page directory entry will be placed
// at frame 258; 768th entry corresponds to virtual address range
// 3GB to 3GB+4MB-1 (0xC0000000 to 0xC03FFFFF)
PTE *pages_768 = (PTE *)(0xC0102000);
/*** Initialize logical memory for a process ***/
// Allocates physical memory and sets up page tables;
// we need to allocate memory to hold the program code and
// data, the stack, the page directory, and the required
// page tables
// called by runprogram.c; this function does not load the
// program from disk to memory (done in scheduler.c)
bool init_logical_memory(PCB *p, uint32_t code_size) {
// TODO: see background material on what this function should
// do. High-level objectives are:
// 1) calculate the number of frames necessary for program code,
// user-mode stack and kernel-mode stack
// 2) allocate frames for above
// 3) determine beginning physical address of program code,
// user-mode stack and kernel-mode stack
// 4) calculate the number of frames necessary for page directory
// and page tables
// 5) allocate frames for above
// 6) set up page directory and page tables
// 7) set mem struct in PCB: start_code, end_code, start_stack,
// start_brk, brk, and page_directory
// Return value: TRUE if everything goes well; FALSE if allocation
// of frames failed (you should dealloc any frames that may
// have already been allocated before returning)
// TODO: uncomment following line when you start working in
// this function
return FALSE;
}
/*** Initialize kernel\'s page directory and table ***/
void init_kernel_pages(void) {
uint32_t i;
// set up kernel page directory (users cannot touch this)
for (i=0; i<1024; i++) k_page_directory[i] = 0;
k_page_directory[768] = ((uint32_t)pages_768-KERNEL_BASE) | PDE_PRESENT |
PDE_READ_WRITE;
// map virtual (0xC0000000--0xC03FFFFF) to physical (0--0x3FFFFF)
for (i=0; i<1024; i++)
pages_768[i] = (i*4096) | PTE_PRESENT | PTE_READ_WRITE | PTE_GLOBAL;
// load page directory
load_CR3((uint32_t)k_pa.
Lec10 Computer Architecture by Hsien-Hsin Sean Lee Georgia Tech -- Memory part2Hsien-Hsin Sean Lee, Ph.D.
This document summarizes a lecture on advanced computer architecture and memory hierarchy design techniques. It discusses cache penalty reduction techniques like victim caches and prefetching. It also covers virtual memory and address translation using page tables and translation lookaside buffers. Different cache organizations are described, including virtually and physically indexed caches. Solutions to problems like aliases and synonyms in virtual caches are also summarized.
This document discusses Linux huge pages, including:
- What huge pages are and how they can reduce memory management overhead by allocating larger blocks of memory
- How to configure huge pages on Linux, including installing required packages, mounting the huge page filesystem, and setting kernel parameters
- When huge pages should be configured, such as for data-intensive or latency-sensitive applications like databases, but that testing is required due to disadvantages like reduced swappability
InnoDB is the default storage engine for MySQL databases. It uses tablespaces, pages, and a data dictionary to store table definitions, structures, and indexes. Corruption can occur if the data dictionary, files, or pages are damaged. Errors must be analyzed to determine if the data dictionary, files, or pages need repair. Potential fixes include hex editing files to correct metadata, updating checksums, or restoring from backups.
XPDS13: Performance Evaluation of Live Migration based on Xen ARM PVH - Jaeyo...The Linux Foundation
Electricity charge for operating data centers is reaching approximately 27% of total operation cost. For this reason, ARM servers have been getting more attention for future energy-efficient data centers and the performance of ARM processors keeps increasing (i.e., almost 3GHz). For efficiently utilizing ARM cores, ARM PVH has been introduced in Xen 4.3, and based on this, we have implemented live migration feature and evaluated on top of dualcore ARM board. More specifically, we choose multimedia streaming workload, measure the maximum concurrent clients, and calculate clients per watt (CPW) as the performance metric. From this, we have found out that even dualcore ARM processor (with virtualization) gives higher CPW (7 CPW) over x86 case (6 CPW). In addition we could reduce the energy consumption around 70% (4-to-1 consolidation for low-loaded servers) by using server consolidation.
Douwan Crack 2025 new verson+ License codeaneelaramzan63
Copy & Paste On Google >>> https://dr-up-community.info/
Douwan Preactivated Crack Douwan Crack Free Download. Douwan is a comprehensive software solution designed for data management and analysis.
Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
Key Takeaways:
Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction.
Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds.
Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.
Avast Premium Security Crack FREE Latest Version 2025mu394968
🌍📱👉COPY LINK & PASTE ON GOOGLE https://dr-kain-geera.info/👈🌍
Avast Premium Security is a paid subscription service that provides comprehensive online security and privacy protection for multiple devices. It includes features like antivirus, firewall, ransomware protection, and website scanning, all designed to safeguard against a wide range of online threats, according to Avast.
Key features of Avast Premium Security:
Antivirus: Protects against viruses, malware, and other malicious software, according to Avast.
Firewall: Controls network traffic and blocks unauthorized access to your devices, as noted by All About Cookies.
Ransomware protection: Helps prevent ransomware attacks, which can encrypt your files and hold them hostage.
Website scanning: Checks websites for malicious content before you visit them, according to Avast.
Email Guardian: Scans your emails for suspicious attachments and phishing attempts.
Multi-device protection: Covers up to 10 devices, including Windows, Mac, Android, and iOS, as stated by 2GO Software.
Privacy features: Helps protect your personal data and online privacy.
In essence, Avast Premium Security provides a robust suite of tools to keep your devices and online activity safe and secure, according to Avast.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
🌍📱👉COPY LINK & PASTE ON GOOGLE http://drfiles.net/ 👈🌍
Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
Here's a more detailed explanation:
Key Features and Capabilities:
Vector-Based Design:
Illustrator's foundation is its use of vector graphics, meaning designs are created using paths, lines, shapes, and curves defined mathematically.
Scalability:
This vector-based approach allows for designs to be resized without any loss of resolution or quality, making it suitable for various print and digital applications.
Design Creation:
Illustrator is used for a wide variety of design purposes, including:
Logos and Brand Identity: Creating logos, icons, and other brand assets.
Illustrations: Designing detailed illustrations for books, magazines, web pages, and more.
Marketing Materials: Creating posters, flyers, banners, and other marketing visuals.
Web Design: Designing web graphics, including icons, buttons, and layouts.
Text Handling:
Illustrator offers sophisticated typography tools for manipulating and designing text within your graphics.
Brushes and Effects:
It provides a range of brushes and effects for adding artistic touches and visual styles to your designs.
Integration with Other Adobe Software:
Illustrator integrates seamlessly with other Adobe Creative Cloud apps like Photoshop, InDesign, and Dreamweaver, facilitating a smooth workflow.
Why Use Illustrator?
Professional-Grade Features:
Illustrator offers a comprehensive set of tools and features for professional design work.
Versatility:
It can be used for a wide range of design tasks and applications, making it a versatile tool for designers.
Industry Standard:
Illustrator is a widely used and recognized software in the graphic design industry.
Creative Freedom:
It empowers designers to create detailed, high-quality graphics with a high degree of control and precision.
Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik
Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
Talk from SciFiDevCon 2025
https://www.scifidevcon.com/courses/2025-scifidevcon/contents/680efa43ae4f5
Copy & Past Link 👉👉
http://drfiles.net/
When you say Xforce with GTA 5, it sounds like you might be talking about Xforce Keygen — a tool that's often mentioned in connection with cracking software like Autodesk programs.
BUT, when it comes to GTA 5, Xforce isn't officially part of the game or anything Rockstar made.
If you're seeing "Xforce" related to GTA 5 downloads or cracks, it's usually some unofficial (and risky) tool for pirating the game — which can be super dangerous because:
Copy & Paste On Google >>> https://dr-up-community.info/
EASEUS Partition Master Final with Crack and Key Download If you are looking for a powerful and easy-to-use disk partitioning software,
Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
Minitab 22 Full Crack Plus Product Key Free Download [Latest] 2025wareshashahzadiii
Copy & Past Link 👉👉
http://drfiles.net/
Minitab is a statistical software package designed for data analysis, quality improvement, and Six Sigma applications. It's used by businesses, universities, and individuals to analyze data, identify patterns, and make data-driven decisions.
Agentic AI Use Cases using GenAI LLM modelsManish Chopra
This document presents specific use cases for Agentic AI (Artificial Intelligence), featuring Large Language Models (LLMs), Generative AI, and snippets of Python code alongside each use case.
Adobe Lightroom Classic Crack FREE Latest link 2025kashifyounis067
🌍📱👉COPY LINK & PASTE ON GOOGLE http://drfiles.net/ 👈🌍
Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
Here's a more detailed breakdown:
Key Features and Functions:
Organization:
Lightroom Classic provides robust tools for organizing your photos, including creating collections, using keywords, flags, and color labels.
Editing:
It offers a wide range of editing tools for making adjustments to color, tone, and more.
Processing:
Lightroom Classic can process RAW files, allowing for significant adjustments and fine-tuning of images.
Desktop-Focused:
The application is designed to be used on a computer, with the original photos stored locally on the hard drive.
Non-Destructive Editing:
Edits are applied to the original photos in a non-destructive way, meaning the original files remain untouched.
Key Differences from Lightroom (Cloud-Based):
Storage Location:
Lightroom Classic stores photos locally on your computer, while Lightroom stores them in the cloud.
Workflow:
Lightroom Classic is designed for a desktop workflow, while Lightroom is designed for a cloud-based workflow.
Connectivity:
Lightroom Classic can be used offline, while Lightroom requires an internet connection to sync and access photos.
Organization:
Lightroom Classic offers more advanced organization features like Collections and Keywords.
Who is it for?
Professional Photographers:
PCMag notes that Lightroom Classic is a popular choice among professional photographers who need the flexibility and control of a desktop-based application.
Users with Large Collections:
Those with extensive photo collections may prefer Lightroom Classic's local storage and robust organization features.
Users who prefer a traditional workflow:
Users who prefer a more traditional desktop workflow, with their original photos stored on their computer, will find Lightroom Classic a good fit.
Adobe Photoshop CC 2025 Crack Full Serial Key With Latestusmanhidray
Copy & Past Link👉👉💖
💖http://drfiles.net/
Adobe Photoshop is a widely-used, professional-grade software for digital image editing and graphic design. It allows users to create, manipulate, and edit raster images, which are pixel-based, and is known for its extensive tools and capabilities for photo retouching, compositing, and creating intricate visual effects.
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
FL Studio Producer Edition Crack 2025 Full Versiontahirabibi60507
Copy & Past Link 👉👉
http://drfiles.net/
FL Studio is a Digital Audio Workstation (DAW) software used for music production. It's developed by the Belgian company Image-Line. FL Studio allows users to create and edit music using a graphical user interface with a pattern-based music sequencer.
Download YouTube By Click 2025 Free Full Activatedsaniamalik72555
Copy & Past Link 👉👉
https://dr-up-community.info/
"YouTube by Click" likely refers to the ByClick Downloader software, a video downloading and conversion tool, specifically designed to download content from YouTube and other video platforms. It allows users to download YouTube videos for offline viewing and to convert them to different formats.
The Significance of Hardware in Information Systems.pdfdrewplanas10
Ad
Memory Mapping Implementation (mmap) in Linux Kernel
1. Memory Mapping Implementation (mmap) in
Linux Kernel
Adrian Huang | May, 2022
* Based on kernel 5.11 (x86_64) – QEMU
* SMP (4 CPUs) and 8GB memory
* Kernel parameter: nokaslr norandmaps
* Userspace: ASLR is disabled
* Legacy BIOS
2. Agenda
• Three different IO types
• Process Address Space – mm_struct & VMA
• Four types of memory mappings
• mmap system call implementation
• Demand page: page fault handling for four types of memory mappings
• fork()
• COW mapping configuration: set ‘write protect’ when calling fork()
• COW fault call path
3. Three different IO types
• Buffered IO
o Leverage page cache
• Direct IO
o Bypass page cache
• Memory-mapped IO (file-based mapping,
memory-mapped file)
• File content can be accessed by operations on the
bytes in the corresponding memory region.
6. Four types of memory mappings
Reference from: Chapter 49, The Linux Programming Interface
File Anonymous
Private
(Modification is not visible to other processes)
Initializing memory from contents of file
Example: Process's .text and .data segements
(Changes are not carried through to the underlying file)
Memory Allocation
Shared
(Modification is visible to other processes)
1. Memory-mapped IO: Changes are carried through to
the underlying file
2. Sharing memory between processes (IPC)
Sharing memory between processes (IPC)
Visibility of Modification
Mapping Type
8. mmap system call implementation (2/2)
1. thp_get_unmapped_area() eventually calls arch_get_unmapped_area_topdown()
2. unmapped_area_topdown() is the key point for allocating an userspace address
13. Process address space: VMA rbtree -> rb_subtree_gap
• Maximum of the following items:
o gap between this vma and previous one
o rb_left.subtree_gap
o rb_right.subtree_gap
rb_subtree_gap calculation
14. Process address space: VMA rbtree -> rb_subtree_gap
• Maximum of the following items:
o gap between this vma and previous one
o rb_left.subtree_gap
o rb_right.subtree_gap
rb_subtree_gap calculation
max(0x7ffff7ffa000 – 0x4e8000, 0, 0) =
0x7fff7b12000
15. Process address space: VMA rbtree -> rb_subtree_gap
• VM_GROWSDOWN is set in vma->vm_flags
• max(0x7ffffffde000 – 0x7ffff7fff000 -
stack_guard_gap, 0, 0) = 0x7edf000
• stack_guard_gap = 256UL<<PAGE_SHIFT
47. Types of memory mappings: update
Reference from: Chapter 49, The Linux Programming Interface
Description Backing file
Private
(Modification is not visible to other processes)
Initializing memory from contents of file
Example: Process's .text and .data segements
(Changes are not carried through to the underlying file)
Memory Allocation No
Shared
(Modification is visible to other processes)
1. Memory-mapped IO: Changes are carried through to
the underlying file
2. Sharing memory between processes (IPC)
Sharing memory between processes (IPC) /dev/zero
Mapping Type
Anonymous
File
Visibility of Modification
48. Memory-mapped file
vma->vm_ops: invoke vm_ops callbacks in page fault
handler
• struct vm_operations_struct
o fault : Invoked by page fault handler to read
the corresponding data into a physical page.
o map_pages : Map the page if it is in page
cache (check function ‘do_fault_around’:
warm/cold page cache).
o page_mkwrite: Notification that a previously
read-only page is about to become writable.
70. Think about this: #2
fork(): Which function (do_cow_fault or do_wp_page)
is called when COW is triggered?
Think about this…
this one?
or, this one?
75. vdso & vvar
• vsyscall (Virtual System Call)
o The context switch overhead (user <-> kernel) of some system calls (gettimeofday, time, getcpu) is greater than
execution time of those functions: Built on top of the fixed-mapped address
o Machine code format
o Core dump: debugger cannot provide the debugging info because symbols of this area are unavailable
• vDSO (Virtual Dynamic Shared Object)
• ELF format
• A small shared library that the kernel automatically maps into the address space of all userspace applications
• VVAR (vDSO Variable)