Sergey Gonchar - Fast rendering with Starling

Oct 12, 2015Download as PPTX, PDF2 likes1,556 views

The document discusses Stage3D and Starling frameworks. It describes how Stage3D allows managing texture memory, vertex and pixel shading, and mesh rendering using OpenGL and DirectX. It also explains that Starling uses a quad batching approach to group quads with the same state for efficient rendering and provides a vertex buffer description to store quad vertex attributes. The document recommends profiling tools for optimizing 3D rendering and references books for further reading.

Fast rendering with
Starling
BAFPUG 2015
Sergey Gonchar
http://gonchar.me

Stage3D API
• Since 2011 (Flash Player 11)
• Unified API for managing texture memory, vertex
shading, pixel shading, and mesh rendering
• Transparently executed using OpenGL and DirectX

Each frame
— clear backbuffer by calling Context3D.clear
— set gpu state through Context3D API
— call drawTriangles()
— repeat until the scene is entirely rendered
— call the present() method to display the rendered scene on the
stage. It copies the backbuffer to a framebuffer

Sergey Gonchar - Fast rendering with Starling

Profiling Tools
• Adobe Scout
https://creative.adobe.com/ru/products/scout
• Intel GPA https://software.intel.com/en-us/gpa
• Xcode OpenGL Tools
https://developer.apple.com/opengl/
• RenderDoc http://cryengine.com/renderdoc

http://gamua.com/starling/

How does QuadBatch work?
• Collects quads with the same state(same texture,
blendMode, shader)
• Transforms all vertices to one space and upload
to VertexBuffer
• Render

Starling VertexBufferDescr
• va0 - x,y
• va1 - r,g,b,a
• va2 - u,v

Constants approach
• Create one common vertexBuffer during application
init, upload data once
• Batch quads and images by the same state and set
program constants
array(x,y,width,height,uv,tintcolor,rotation)
• Render

PixelPerfect Touch CPU
Approach
• hitTest Quads
• hitTest texture
• repeat until find

PixelPerfect Touch GPU!
• Use simple shader which renders images with
single color
• Optimization: collect candidates by bounds
• Render targets to 1x1 texture on desktop or 4x4
texture on mobile
• Read back & sample color from texture

Books
http://www.amazon.com/Practical-
Rendering-Computation-Direct3D-
11/dp/1568817207
http://www.amazon.com/Adobe-
Stage3D-Molehill-Programming-
Beginners/dp/1849691681

Thank you!
• Blog http://gonchar.me/
• Follow me http://twitter.com/UnknownFlasher
• Stage3D http://facebook.com/groups/stage3d
• FlashDaily http://flashdaily.net

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With the increased use of Artificial Intelligence (AI) in malware analysis there is also an increased need to understand the decisions models make when identifying malicious artifacts. Explainable AI (XAI) becomes the answer to interpreting the decision-making process that AI malware analysis models use to determine malicious benign samples to gain trust that in a production environment, the system is able to catch malware. With any cyber innovation brings a new set of challenges and literature soon came out about XAI as a new attack vector. Adversarial XAI (AdvXAI) is a relatively new concept but with AI applications in many sectors, it is crucial to quickly respond to the attack surface that it creates. This paper seeks to conceptualize a theoretical framework focused on addressing AdvXAI in malware analysis in an effort to balance explainability with security. Following this framework, designing a machine with an AI malware detection and analysis model will ensure that it can effectively analyze malware, explain how it came to its decision, and be built securely to avoid adversarial attacks and manipulations. The framework focuses on choosing malware datasets to train the model, choosing the AI model, choosing an XAI technique, implementing AdvXAI defensive measures, and continually evaluating the model. This framework will significantly contribute to automated malware detection and XAI efforts allowing for secure systems that are resilient to adversarial attacks.

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QA/QC Manager (Quality management Expert)rccbatchplant

ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITYijscai

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Sergey Gonchar - Fast rendering with Starling

1. Fast rendering with Starling BAFPUG 2015 Sergey Gonchar http://gonchar.me

2. Stage3D API • Since 2011 (Flash Player 11) • Unified API for managing texture memory, vertex shading, pixel shading, and mesh rendering • Transparently executed using OpenGL and DirectX

3. Each frame — clear backbuffer by calling Context3D.clear — set gpu state through Context3D API — call drawTriangles() — repeat until the scene is entirely rendered — call the present() method to display the rendered scene on the stage. It copies the backbuffer to a framebuffer

4. Context3D profiles • BASELINE_CONSTRAINED for web - windows • BASELINE for web - mac • MAX PROFILE for mobile

6. Profiling Tools • Adobe Scout https://creative.adobe.com/ru/products/scout • Intel GPA https://software.intel.com/en-us/gpa • Xcode OpenGL Tools https://developer.apple.com/opengl/ • RenderDoc http://cryengine.com/renderdoc

7. http://gamua.com/starling/

8. How does QuadBatch work? • Collects quads with the same state(same texture, blendMode, shader) • Transforms all vertices to one space and upload to VertexBuffer • Render

10. Starling VertexBufferDescr • va0 - x,y • va1 - r,g,b,a • va2 - u,v

11. Constants approach • Create one common vertexBuffer during application init, upload data once • Batch quads and images by the same state and set program constants array(x,y,width,height,uv,tintcolor,rotation) • Render

12. New VertexBufferDescr • va0 - x,y,index

13. How does it work?

24. PixelPerfect Touch CPU Approach • hitTest Quads • hitTest texture • repeat until find

25. PixelPerfect Touch GPU! • Use simple shader which renders images with single color • Optimization: collect candidates by bounds • Render targets to 1x1 texture on desktop or 4x4 texture on mobile • Read back & sample color from texture

26. Scene

27. Touch test

28. Books http://www.amazon.com/Practical- Rendering-Computation-Direct3D- 11/dp/1568817207 http://www.amazon.com/Adobe- Stage3D-Molehill-Programming- Beginners/dp/1849691681

29. Thank you! • Blog http://gonchar.me/ • Follow me http://twitter.com/UnknownFlasher • Stage3D http://facebook.com/groups/stage3d • FlashDaily http://flashdaily.net

Sergey Gonchar - Fast rendering with Starling

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