Jakub Boksansky
@boksajak
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Tracing rays one by one. Caffeinist and Ray Tracing Engineer at AMD. Former Computer Graphics Researcher @CVUTFEL, ex-Nvidia. Personal account.
Munich, Germany
Joined January 2015
I am happy to announce publication of my chapter titled "Real-Time Neural Network Implementation for GPUs" in GPU Zen 4 book, available now. Chapter comes with full MIT-licensed source code, available on Github here: https://t.co/mmoVTA6LlG The book is available on Amazon.
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Great work! Check out the ODIN port of my Dx12NN MLP imolementation by Lukasz:
After reading through @boksajak's great https://t.co/HFsYre4yPk, I implemented it in Odin. It's super slower as you might expect, but also super simple, so it's good base if you want to learn the basics (or SIMD/multithread further). https://t.co/zNWyqxeAMk
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Capsaicin is not just for tacos, it's also our developer rendering framework! v1.3 is out now: 🌶️ Added heat with GI-1.2, which includes multiple-bounce indirect lighting. 🌶️ HDR support with spicier tone mapping. And much, much more:
gpuopen.com
AMD GI-1.2, our real-time Global Illumination solution, is available now as part of the AMD Capsaicin Framework v1.3.
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Get up to speed with our latest advanced graphics research: 📝 GATE (Geometry-Aware Trained Encoding) for neural rendering. 📝 Real-time procedural GPU tree generation. 📝 Neural Visibility Cache for real-time light sampling. 📥 Download the papers: https://t.co/y0XU5hbQXV
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#pytorch started running on windows (!) on #AMD #GPUs. ## Set up - python -m pip install --index-url https://t.co/ydkIKlKXgU torch ## Then >>> import torch >>> print( https://t.co/Bl5V7mfV40_available()) True >>> print(torch.cuda.get_device_name(0)) AMD #Radeon RX 9070 XT
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Are you guys enabling HLSL 2021 when compiling your shaders (e.g. for templates)? Is there anything preventing you from enabling HLSL 2021 by default?
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Unidirectional Path Tracing Light Sampling MIS🙂 The next step is to support more complex light paths and lenses.
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The I3D 2025 Call for Papers has been published! Submission deadline: 10 of January, 2025 Get more information in our website: https://t.co/ZXmlE1WJCa
#I3D2025
i3dsymposium.org
ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
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I put all of my Ray Tracing Gems chapters in one place where you can download them, extracted from books into separate PDFs: https://t.co/AOGFePRgoG There is: 1. "Ray Traced Shadows" 2. "Reference Path Tracer" 3. "Refraction Ray Cones" 4. "Many Lights With Grid-based Reservoirs"
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My latest blog is now out! It discusses two GPU-friendly methods for sampling of Gaussian distribution, including source code and performance evaluations. Get it here: https://t.co/gb0TCqAljE
gpuopen.com
Sampling the normal distribution is not as straightforward as it seems! Explore two GPU-friendly methods including implementation and performance evaluation.
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📉 Sampling the normal (Gaussian) distribution is not as easy as it seems! 📈 Our latest blog by @boksajak introduces two GPU-friendly methods, including implementation, source code, and a perf evaluation. 📖 Have a read on GPUOpen: https://t.co/Mc7QmuFI1X
#gamedev #raytracing
gpuopen.com
Sampling the normal distribution is not as straightforward as it seems! Explore two GPU-friendly methods including implementation and performance evaluation.
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🎇 DMMs (displaced micro-meshes) deliver excellent geometry compression but don't represent animated geometry well 🎇 Our paper explores producing high-quality animated DMMs, showing how to preserve their low memory footprint, BVH build, and update costs: https://t.co/PQqjnFPPkA
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What do ray tracing people do on vacation? Shoot rays towards the film 📸
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Some Chinese dudes imitating AI videos lol this is next level
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Hey there! I started a new article series on how to write compute shaders with DirectX 12. The first chapter discusses the theory of compute which is mostly applicable for any Graphics API or engine. https://t.co/0HQixLz8Yw
stefanpijnacker.nl
We will discuss the general theory of parallel processing and compute shaders. We will talk about what compute shaders are, why they can be so powerful and some things to keep in mind while working...
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My deep learning crash course is now available as a HTML web version on @GPUOpen. Enjoy!
If you're looking to learn #deeplearning in a #graphics dev context, @boksajak has written an excellent crash course which we're excited to share on GPUOpen 🎉 You'll learn about #neuralnetworks, practical graphics applications, + links to sample code! https://t.co/HQ09yUA7zD
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