Revisit of my NVDLA adaption project in Novumind

Introduction to NVDLA

The NVIDIA Deep Learning Accelerator (NVDLA) is an open-source hardware project designed to accelerate deep learning inference tasks. Its flexible, scalable architecture enables developers to implement AI acceleration on various platforms, from FPGAs to ASICs. By offering a complete stack of hardware and software, NVDLA has become a cornerstone for many projects in the AI hardware space, making it an invaluable tool for prototyping and development.

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Personal Software Configuration

Code Editor: Sublime

C++ compiler on Windows: MSVC(Visual Studio) on Windows Terminal

Doc/Slides Editor: Google Docs

Video Recorder/Streamer: OBS Studio

Chat & Social: Discord, Skype

Virtual Machine Software: Virtual Box

Recommend Open Source & Free Edit Software:

Picture Editor: Gimp(for jpeg, NO recommend to build from source),

Raw Picture Editor: Darktable (for Raw)

Audio Editor: LMMS

December Travel & First Camera Experience

Flight: Sacramento – Las Vegas, Dec 13th; Las Vegas – Sacramento, Dec 17th

Rout:

Day1: Las Vegas Airport – Bellagio Hotel – Hell’s Kitchen – High Roller

Day2: Bellagio – Zion National Park(Night sky) – Page Town

Day3: Page Town – Upper Antelope Canyon – Lower Antelope Canyon – Horseshoe Bend – Lake Powell night sky

Day4: Page Town – The Grand Canyon – Kingman

Day5: Kingman – Hoover Dam – LAS Chinatown -The Sphere(Postcard from Earth) – Archery training

Some photos:

[TTTA] Episode 1 Hello Triangle

In the first episode, let’s talk about drawing a single triangle on your screen. By analyzing a frame captured from a triangle application, let’s learn what need to offer to the operating system to render this blue triangleIn our inaugural episode, we’ll explore how to render a single triangle on your screen. By examining a frame captured from a simple triangle-rendering application, we’ll learn about the essentials provided to the operating system to achieve this.

Continue reading “[TTTA] Episode 1 Hello Triangle” →

Triangle-To-Triple-A Series – Intro

Step into the realm of game graphics with our comprehensive blog series, designed to empower you with a fundamental understanding of the modern graphics pipeline and the essence of graphics API calls. As we traverse the theoretical concepts, our narrative will be lightly sprinkled with practical examples, aiming to show how applications converse with the operating system to paint pixels on the screen—no heavy coding, just the pure science of graphics.

Within this series, we’ll occasionally reference Intel’s Graphics Performance Analyzers (GPA), a tool that exemplifies these concepts in action, though our focus will remain firmly on the underlying graphics principles rather than the intricacies of the tool itself. By the end of our journey, you’ll not only grasp the foundational elements of game graphics but also appreciate how they coalesce to form the breathtaking visuals in contemporary gaming.

Join us as we peel away the layers of complexity in modern graphics, clarifying the dialogue between application and machine, and illuminating the path from the genesis of a graphic call to the lush, immersive environments that define today’s gaming experiences.


All the frame/stream captures will be used in the blogs can be found under my shared one drive:

https://drive.google.com/drive/u/0/folders/1c8vXyConNvgtM43VnboaAlXCCb8He0ZO


Hope you can enjoy!

*May use the assistant with ChatGPT in the blog writing, but will review before publish:)

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