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).
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).
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 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.
Memory Mapping Implementation (mmap) 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).
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).
Anatomy of the loadable kernel module (lkm)Adrian Huang
Talk about how Linux kernel invokes your module's init function.
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).
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.
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).
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).
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).
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.
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).
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.
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
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 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.
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.
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.
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 talk discusses Linux profiling using perf_events (also called "perf") based on Netflix's use of it. It covers how to use perf to get CPU profiling working and overcome common issues. The speaker will give a tour of perf_events features and show how Netflix uses it to analyze performance across their massive Amazon EC2 Linux cloud. They rely on tools like perf for customer satisfaction, cost optimization, and developing open source tools like NetflixOSS. Key aspects covered include why profiling is needed, a crash course on perf, CPU profiling workflows, and common "gotchas" to address like missing stacks, symbols, or profiling certain languages and events.
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.
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.
This document discusses Linux kernel debugging. It provides an overview of debugging techniques including collecting system information, handling failures, and using printk(), KGDB, and debuggers. Key points covered are the components of a debugger, how KGDB can be used with gdb to debug interactively, analyzing crash data, and some debugging tricks and print functions.
Linux Kernel Booting Process (2) - For NLKBshimosawa
Describes the bootstrapping part in Linux, and related architectural mechanisms and technologies.
This is the part two of the slides, and the succeeding slides may contain the errata for this slide.
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.
Exploitation of counter overflows in the Linux kernelVitaly Nikolenko
This document summarizes an exploit talk on counter overflows in the Linux kernel. It discusses how counter overflows can be used to exploit vulnerabilities by overflowing reference counters and triggering object deallocation. It provides examples of real counter overflow vulnerabilities in Linux, such as CVE-2014-2851 and CVE-2016-0728, and outlines the general exploitation procedure, including overflowing the counter, triggering object freeing, overwriting data, and executing code. It also discusses challenges like integer overflow times and techniques like using RCU calls to bypass checks.
The document discusses system calls and provides examples of how they are used. It defines system calls as interfaces between processes and the operating system. It then covers specific system calls like open(), read(), write(), fork(), wait(), and exit() providing their syntax and discussing how they are implemented and used to copy files and create processes. It includes pseudocode examples and discusses how open() works by transferring from user to kernel space.
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.
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).
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).
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).
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.
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).
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.
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
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 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.
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.
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.
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 talk discusses Linux profiling using perf_events (also called "perf") based on Netflix's use of it. It covers how to use perf to get CPU profiling working and overcome common issues. The speaker will give a tour of perf_events features and show how Netflix uses it to analyze performance across their massive Amazon EC2 Linux cloud. They rely on tools like perf for customer satisfaction, cost optimization, and developing open source tools like NetflixOSS. Key aspects covered include why profiling is needed, a crash course on perf, CPU profiling workflows, and common "gotchas" to address like missing stacks, symbols, or profiling certain languages and events.
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.
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.
This document discusses Linux kernel debugging. It provides an overview of debugging techniques including collecting system information, handling failures, and using printk(), KGDB, and debuggers. Key points covered are the components of a debugger, how KGDB can be used with gdb to debug interactively, analyzing crash data, and some debugging tricks and print functions.
Linux Kernel Booting Process (2) - For NLKBshimosawa
Describes the bootstrapping part in Linux, and related architectural mechanisms and technologies.
This is the part two of the slides, and the succeeding slides may contain the errata for this slide.
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.
Exploitation of counter overflows in the Linux kernelVitaly Nikolenko
This document summarizes an exploit talk on counter overflows in the Linux kernel. It discusses how counter overflows can be used to exploit vulnerabilities by overflowing reference counters and triggering object deallocation. It provides examples of real counter overflow vulnerabilities in Linux, such as CVE-2014-2851 and CVE-2016-0728, and outlines the general exploitation procedure, including overflowing the counter, triggering object freeing, overwriting data, and executing code. It also discusses challenges like integer overflow times and techniques like using RCU calls to bypass checks.
The document discusses system calls and provides examples of how they are used. It defines system calls as interfaces between processes and the operating system. It then covers specific system calls like open(), read(), write(), fork(), wait(), and exit() providing their syntax and discussing how they are implemented and used to copy files and create processes. It includes pseudocode examples and discusses how open() works by transferring from user to kernel space.
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Linux Device Driver for Writing a real world driver for embedded LinuxAchyuthShettigar2
Writing a real world driver for embedded Linux. The presentation file contains Concept, Kernel Module, Char Device Driver, Interrupt Handling, I/O Management, Allocating Memory,Block Device Driver, Network Device Driver etc. Then there are
The document discusses Linux kernel internals and provides an overview of key concepts such as memory management, process creation, device drivers, and file systems. It describes how the kernel handles tasks like compiling programs, managing memory and processes, and facilitating communication between software and hardware. The document also outlines common Linux system calls and functions related to program execution.
This document provides an overview of the Linux kernel internals and device drivers. It discusses topics like memory management, process creation, inter-process communication using shared memory, and device drivers. The key aspects covered are virtual memory mapping, demand paging, steps in program execution, different types of device drivers, and how the kernel interacts with hardware through device drivers in the userspace.
This document discusses Unix system calls and standard I/O functions in C. It begins by defining system calls as requests to the operating system for services, typically made via traps into the kernel. It then covers various system calls for process control, file manipulation, directory manipulation, memory allocation, and I/O. It also discusses standard I/O functions in the C standard library that provide higher-level abstraction over system calls for file I/O.
The bubble sort algorithm repeatedly steps through a list of items, compares adjacent pairs of items, and swaps them if they are in the wrong order. This process is repeated in passes through the list until it is fully sorted from lowest to highest value. The example demonstrates sorting the array [5, 1, 4, 2, 8] using bubble sort in three passes, with swaps occurring on the first two passes until the list is sorted after the third pass.
Tackling repetitive tasks with serial or parallel programming in RLun-Hsien Chang
R programming basics
● Syntax forms, data structure, vector, elapsed time
Serial computing
● For loop, vectorised functions, *apply() functions
Parallel computing
● The doParallel, parallel, foreach package
Compare time performance in serial and parallel computing
Linux Foundation Mentorship Sessions - Kernel Livepatch: An IntroductionMarcos de Souza
Presented at the Linux Foundation Mentorship Sessions, this talk had the goal to present how livepatches interact with the Linux kernel, and how they are used.
The document provides an introduction to Linux and device drivers. It discusses Linux directory structure, kernel components, kernel modules, character drivers, and registering drivers. Key topics include dynamically loading modules, major and minor numbers, private data, and communicating with hardware via I/O ports and memory mapping.
Hadoop meetup : HUGFR Construire le cluster le plus rapide pour l'analyse des...Modern Data Stack France
Construire le cluster le plus rapide pour l'analyse des datas : benchmarks sur un régresseur par Christopher Bourez (Axa Global Direct)
Les toutes dernières technologies de calcul parallèle permettent de calculer des modèles de prédiction sur des big datas en des temps records. Avec le cloud est facilité l'accès à des configurations hardware modernes avec la possibilité d'une scalabilité éphémère durant les calculs. Des benchmarks sont réalisés sur plusieurs configuration hardware, allant de 1 instance à un cluster de 100 instances.
Christopher Bourez, développeur & manager expert en systèmes d'information modernes chez Axa Global Direct. Alien thinker. Blog : http://christopher5106.github.io/
The document provides an overview of a presentation on kernel auditing research, including:
- Three parts to the presentation covering kernel auditing research, exploitable bugs found, and kernel exploitation.
- Audits were conducted on several open source kernels, finding over 100 vulnerabilities across them.
- A sample of exploitable bugs is then presented from the audited kernels to provide evidence that kernels are not bug-free and vulnerabilities can be relatively simple to find and exploit.
Writing Character driver (loadable module) in linuxRajKumar Rampelli
It covers the step by step approach on how to write a simple loadable character device driver in linux. What are Device files in linux detail. How user application interact with character driver using a device file.
The document discusses various debugging techniques for the Linux kernel including:
1. Enabling debugging configuration options like CONFIG_DEBUG_KERNEL and CONFIG_DEBUG_SLAB.
2. Using printk statements with different log levels for debugging.
3. Querying information from /proc and using ioctl calls.
4. Tools like strace, gdb, kdb, and Kgdb can help debug system faults, catch flaws in code, and set breakpoints.
5. Tracing tools like LTT allow tracing of kernel events and timing information.
This document discusses the crash reporting mechanism in Tizen. It describes the crash client, which handles crash signals and generates crash reports. It covers Samsung's crash-work-sdk and Intel's corewatcher crash clients. It also discusses the crash server that receives reports and the CrashDB web interface. Finally, it mentions crash reason location algorithms.
Kafka Summit SF 2017 - One Day, One Data Hub, 100 Billion Messages: Kafka at ...confluent
LINE is a messaging service with 200+ million active users. I will introduce why we feed 100+ billion daily messages into Kafka and how various systems such as data sync, abuse detection and analysis are depending on and leveraging it. It will be also introduced how we leverage dynamic tracing tools like SystemTap to inspect broker’s performance on production system, which led me to fix KAFKA-4614.
Presented by Yuto Kawamura, LINE Corporation
Systems Track
Program Assignment Process ManagementObjective This program a.docxwkyra78
Program Assignment : Process Management
Objective: This program assignment is given to the Operating Systems course to allow the students to figure out how a single process (parent process) creates a child process and how they work on Unix/Linux(/Mac OS X/Windows) environment. Additionally, student should combine the code for describing inter-process communication into this assignment. Both parent and child processes interact with each other through shared memory-based communication scheme or message passing scheme.
Environment: Unix/Linux environment (VM Linux or Triton Server, or Mac OS X), Windows platform
Language: C or C++, Java
Requirements:
i. You have wide range of choices for this assignment. First, design your program to explain the basic concept of the process management in Unix Kernel. This main idea will be evolved to show your understanding on inter-process communication, file processing, etc.
ii. Refer to the following system calls:
- fork(), getpid(), family of exec(), wait(), sleep() system calls for process management
- shmget(), shmat(), shmdt(), shmctl() for shared memory support or
- msgget(), msgsnd(), msgrcv(), msgctl(), etc. for message passing support
iii. The program should present that two different processes, both parent and child, execute as they are supposed to.
iv. The output should contain the screen capture of the execution procedure of the program.
v. Interaction between parent and child processes can be provided through inter-process communication schemes, such as shared-memory or message passing schemes.
vi. Result should be organized as a document which explains the overview of your program, code, execution results, and the conclusion including justification of your program, lessons you've learned, comments, etc.
Note:
i. In addition, please try to understand how the local and global variables work across the processes
ii. read() or write () functions are used to understand how they work on the different processes.
iii. For extra credit, you can also incorporate advanced features, like socket or thread functions, into your code.
Examples:
1. Process Creation and IPC with Shared Memory Scheme
=============================================================
#include <stdio.h>
#include <sys/shm.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <unistd.h>
int main(){
pid_t pid;
int segment_id; //allocate the memory
char *shared_memory; //pointer to memory
const int size = 4096;
segment_id = shmget(IPC_PRIVATE, size, S_IRUSR | S_IWUSR);
shared_memory = (char *) shmat(segment_id, NULL, 0);
pid = fork();
if(pid < 0) { //error
fprintf(stderr, "Fork failed");
return 1;
}
else if(pid == 0){ //child process
char *child_shared_memory;
child_shared_memory = (char *) shmat(segment_id,NULL,0); //attach mem
sprintf(child_shared_memory, "Hello parent process!"); //write to the shared mem
shmdt(child_shared_memory);
}
else ...
Adobe Photoshop Lightroom CC 2025 Crack Latest Versionusmanhidray
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Adobe Photoshop Lightroom is a photo editing and organization software application primarily used by photographers. It's designed to streamline workflows, manage large photo collections, and make adjustments to images in a non-destructive way. Lightroom is available across various platforms, including desktop, mobile (iOS and Android), and web, allowing for consistent editing and organization across devices.
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
Adobe Photoshop CC 2025 Crack Full Serial Key With Latestusmanhidray
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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.
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
PDF Reader Pro Crack Latest Version FREE Download 2025mu394968
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PDF Reader Pro is a software application, often referred to as an AI-powered PDF editor and converter, designed for viewing, editing, annotating, and managing PDF files. It supports various PDF functionalities like merging, splitting, converting, and protecting PDFs. Additionally, it can handle tasks such as creating fillable forms, adding digital signatures, and performing optical character recognition (OCR).
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
What You’ll Learn in Part 2:
Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
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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.
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Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
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This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
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Towards a fairer, inclusive and sustainable AI that works for everybody.
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Process Address Space: The way to create virtual address (page table) of userspace application
1. Process Address Space: The way to create virtual
address (page table) of userspace application
Adrian Huang | Oct, 2021
* 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
• 64-bit Virtual Address
• mm_struct & VMA
• Detail about stack
• Stack configuration via bprm_execve()
• Important function: load_elf_binary()
• Auxiliary Vector
• How does Linux call your main() function? The call path?
• Statically-linked program
• Base address: 0x400000
• Dynamically-linked program
• Base address: 0x555555554000
• Do you know why the base address of a dynamically-linked program is the
base address ‘0x555555554000’?
3. 64-bit Process Virtual Address
Kernel Space
0x0000_7FFF_FFFF_FFFF
0xFFFF_8000_0000_0000
128TB
64-bit Virtual Address
0
0xFFFF_FFFF_FFFF_FFFF
• [Option 1] Disable ASLR (Address Space Layout Randomization)
# echo 0 > /proc/sys/kernel/randomize_va_space
• [Option 2] kernel parameter: norandmaps
Note: Disable User Space Address Randomization
Empty Space
User Space
128TB
128MB gap
8. wait for user input
while(1)
fork
child
parent
shell_execve
execve(command, args, env)
shell (ex: bash) - `cat hello.c` File name (Ex: /bin/mount)
4KB - Hole
Environment strings
Command-line arguments
Dynamic linker’s table
(Auxiliary Vector)
envp[]
argv[]
argc
Return address
User space stack created by kernel
Kernel
copy from user
copy from user
copy from user
Stack layout when executing a command
20. kernel_init -> run_init_process: init process (pid = 1)
[Dynamic linking] ld-Linux.so: dynamic linker/loader
• Find and load the shared objects (shared libraries) needed
by a program, prepare the program to run, and then run it
• `man ld-linux`
depth = 1
21. kernel_init -> run_init_process: init process (pid = 1)
de_thread(): All threads other than the calling thread are destroyed during an execve(). Mutexes, condition variables, and other pthreads
objects are not preserved.
unshare_files(): The file descriptor table is unshared, undoing the effect of the CLONE_FILES flag of clone(2).
exec_mmap():
1. The program that is currently being run by the calling process to be replaced with a new program, with newly initialized stack,
heap, and (initialized and uninitialized) data segments.
2. Memory mappings are not preserved.
unshare_sighand(): The signal dispositions is unshared, undoing the effect of the CLONE_SIGHAND flag of clone(2) – Not from `man execve`
do_close_on_exec(): By default, file descriptors remain open across an execve(). File descriptors that are marked close-on-exec are closed.
Description from `man execve`
37. load_elf_binary() -> START_THREAD() – Statically-linked program
STACK_END_MAGIC = 0x57AC6E9D
struct pt_regs (save CPU registers for
userspace application)
task.stack
THREAD_SIZE = 16KB
kernel stack
usage space
task.stack + THREAD_SIZE
struct inactive_task_frame
task.thread_struct.sp
struct fork_frame
Kernel Stack
_start() in executable file ‘busybox’
38. STACK_END_MAGIC
ip = 0x401c10
kernel stack
usage space
struct inactive_task_frame
Kernel Stack
…
pt_regs
File name (Ex: /tmp/hello)
4KB - Hole
Environment strings
Command-line arguments
Dynamic linker’s table
(Auxiliary Vector)
envp[]
argv[]
argc
Return address
User Space Stack
/tmp/hello
_start
__libc_start_main - LIBC_START_MAIN in csu/libc-start.c
(/lib/x86_64-linux-gnu/libc.so.6 -> libc-2.31.so)
Pass address of main()
main
Statically-linked program (OS: Ubuntu 20.04.3)
39. STACK_END_MAGIC
ip = 0x7ffff7fd0100
kernel stack
usage space
struct inactive_task_frame
Kernel Stack
Dynamically-linked program (OS: Ubuntu 20.04.3)
…
pt_regs
_start
_dl_start
_dl_start_final
_dl_sysdep_start
Parse auxiliary vector:
For example: Get ‘AT_ENTRY’ value = 0x555555555060
dl_main
File name (Ex: /tmp/hello)
4KB - Hole
Environment strings
Command-line arguments
Dynamic linker’s table
(Auxiliary Vector)
envp[]
argv[]
argc
Return address
User Space Stack
load binary/libraries and
perform relocation
_dl_start_user
[Function Return]
Next IP of _dl_start()
Return value of _dl_start() = Address
of _start() of the executable file
/lib64/ld-linux-x86-64.so.2 -> /lib/x86_64-linux-gnu/ld-2.31.so
Jump to ‘AT_ENTRY’ value = 0x555555555060
/tmp/hello
_start
__libc_start_main - LIBC_START_MAIN in csu/libc-start.c
(/lib/x86_64-linux-gnu/libc.so.6 -> libc-2.31.so)
Pass address of main()
main
42. [Dynamically-linked program] Executable file: where is “_start()” from?
*crt*.o (C Runtime): A set of execution startup routines linked into a C program that
performs initialization work before calling the program’s main function.
Reference
https://dev.gentoo.org/~vapier/crt.txt
https://en.wikipedia.org/wiki/Crt0
44. Auxiliary vector & base address of a program
Dynamically-linked program Statically-linked program
+
Why is the base address ‘0x555555554000’ for a dynamically-linked program?
45. Why is the base address ‘0x555555554000’ for a dynamically-linked program?