Guillaume Boissé
@gboisse.bsky.social
Lead graphics programmer @AMD, previously SIE R&D (PlayStation). Opinions are my own. He/they.
🔗 gboisse.github.io
🔗 gboisse.github.io
Reposted by Guillaume Boissé
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/learn/gi-1-2...
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/learn/gi-1-2...
Introducing AMD GI-1.2 with multibounce indirect real-time rendering - AMD GPUOpen
AMD GI-1.2, our real-time Global Illumination solution, is available now as part of the AMD Capsaicin Framework v1.3.
gpuopen.com
November 20, 2025 at 8:46 PM
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/learn/gi-1-2...
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/learn/gi-1-2...
New blog post! Behind the scenes of some of the techniques involved in making our last PC demo 💫 gboisse.github.io/posts/this-i...
November 5, 2025 at 9:15 PM
New blog post! Behind the scenes of some of the techniques involved in making our last PC demo 💫 gboisse.github.io/posts/this-i...
Reposted by Guillaume Boissé
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: gpuopen.com/learn/public...
📝 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: gpuopen.com/learn/public...
October 16, 2025 at 7:56 PM
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: gpuopen.com/learn/public...
📝 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: gpuopen.com/learn/public...
Ticket booked, looking forward to it!
Tickets are up! graphicsprogrammingconference.com/tickets/
August 28, 2025 at 9:09 PM
Ticket booked, looking forward to it!
Been wanting to implement that fast GGX-based convolution for glossy reflections probes for quite a while and finally made some time for it:) research.activision.com/publications...
August 27, 2025 at 5:42 PM
Been wanting to implement that fast GGX-based convolution for glossy reflections probes for quite a while and finally made some time for it:) research.activision.com/publications...
Reposted by Guillaume Boissé
Most of the slides and course notes for the SIGGRAPH 2025 Physically Based Shading in Theory and practice course are now online, with more to follow:
blog.selfshadow.com/publications...
blog.selfshadow.com/publications...
SIGGRAPH 2025 Course: Physically Based Shading in Theory and Practice
blog.selfshadow.com
August 10, 2025 at 2:47 PM
Most of the slides and course notes for the SIGGRAPH 2025 Physically Based Shading in Theory and practice course are now online, with more to follow:
blog.selfshadow.com/publications...
blog.selfshadow.com/publications...
Reposted by Guillaume Boissé
💡 Do you want to learn more about using the matrix cores of AMD RDNA™ 4 architecture GPUs?
Our quick how-to guide shows you how to:
✅ Use WMMA intrinsics on RDNA 4.
✅ Implement a simple MLP.
👉 Read the guide: gpuopen.com/learn/matrix...
Our quick how-to guide shows you how to:
✅ Use WMMA intrinsics on RDNA 4.
✅ Implement a simple MLP.
👉 Read the guide: gpuopen.com/learn/matrix...
Using the Matrix Cores of AMD RDNA 4 architecture GPUs - AMD GPUOpen
This article is a quick how-to guide for using the WMMA intrinsics with our new AMD RDNA™ 4 architecture GPUs.
gpuopen.com
July 11, 2025 at 4:00 PM
💡 Do you want to learn more about using the matrix cores of AMD RDNA™ 4 architecture GPUs?
Our quick how-to guide shows you how to:
✅ Use WMMA intrinsics on RDNA 4.
✅ Implement a simple MLP.
👉 Read the guide: gpuopen.com/learn/matrix...
Our quick how-to guide shows you how to:
✅ Use WMMA intrinsics on RDNA 4.
✅ Implement a simple MLP.
👉 Read the guide: gpuopen.com/learn/matrix...
Quick behind the scenes of our latest PC demo production, here’s the node graph for the part from 02:14 to 03:00: youtu.be/W7Om9rf0qKc?... Might print out more graphs from other scenes if there’s some interest:)
May 23, 2025 at 5:59 PM
Quick behind the scenes of our latest PC demo production, here’s the node graph for the part from 02:14 to 03:00: youtu.be/W7Om9rf0qKc?... Might print out more graphs from other scenes if there’s some interest:)
Reposted by Guillaume Boissé
Radix Sort is a fast, non-comparison-based algorithm ideal for sorting large datasets especially on GPUs.
💡 Check out our research that introduces a memory-efficient GPU Radix Sort that improves on Onesweep:
gpuopen.com/learn/boosti...
💡 Check out our research that introduces a memory-efficient GPU Radix Sort that improves on Onesweep:
gpuopen.com/learn/boosti...
Boosting GPU Radix Sort performance: A memory-efficient extension to Onesweep with circular buffers
Discover a high-performance, memory-efficient extension to Onesweep radix sort on GPUs, featuring circular buffers and advanced optimization techniques that reduce global memory access and improve sor...
gpuopen.com
May 6, 2025 at 9:56 PM
Radix Sort is a fast, non-comparison-based algorithm ideal for sorting large datasets especially on GPUs.
💡 Check out our research that introduces a memory-efficient GPU Radix Sort that improves on Onesweep:
gpuopen.com/learn/boosti...
💡 Check out our research that introduces a memory-efficient GPU Radix Sort that improves on Onesweep:
gpuopen.com/learn/boosti...
Reposted by Guillaume Boissé
I had the great joy to present a new PC Demo "This is Us" at Revision 2025 demoparty, with the friendly members of Exist (Guillaume, BevelledApe, Quitt, Made)!
Youtube capture: www.youtube.com/watch?v=W7Om...
Music (free download): soundcloud.com/alkama/this-...
Youtube capture: www.youtube.com/watch?v=W7Om...
Music (free download): soundcloud.com/alkama/this-...
"This is Us" by Exist (2nd @ Revision 2025 PC Demo Compo)
YouTube video by Alkama
www.youtube.com
April 29, 2025 at 8:38 PM
I had the great joy to present a new PC Demo "This is Us" at Revision 2025 demoparty, with the friendly members of Exist (Guillaume, BevelledApe, Quitt, Made)!
Youtube capture: www.youtube.com/watch?v=W7Om...
Music (free download): soundcloud.com/alkama/this-...
Youtube capture: www.youtube.com/watch?v=W7Om...
Music (free download): soundcloud.com/alkama/this-...
2nd place 🎉 thanks @revision-party.bsky.social!
April 21, 2025 at 10:38 AM
2nd place 🎉 thanks @revision-party.bsky.social!
Looking forward to tonight’s compos! @revision-party.bsky.social #demoscene
April 20, 2025 at 9:08 PM
Looking forward to tonight’s compos! @revision-party.bsky.social #demoscene
Reposted by Guillaume Boissé
🚀 Today is AMD RDNA 4 day! To celebrate, we've got new content on GPUOpen:
🔥 Machine-readable ISA for RDNA 3.5/4
🔥 #opensource Interactive Streaming SDK
🔥 Updates to AMF + Capsaicin
Find out more: gpuopen.com/learn/new_co...
🔥 Machine-readable ISA for RDNA 3.5/4
🔥 #opensource Interactive Streaming SDK
🔥 Updates to AMF + Capsaicin
Find out more: gpuopen.com/learn/new_co...
New content released on GPUOpen for AMD RDNA™ 4 on-shelf day
Learn about our updates on GPUOpen to support the release of AMD RDNA 4, plus other new content!
gpuopen.com
March 6, 2025 at 4:34 PM
🚀 Today is AMD RDNA 4 day! To celebrate, we've got new content on GPUOpen:
🔥 Machine-readable ISA for RDNA 3.5/4
🔥 #opensource Interactive Streaming SDK
🔥 Updates to AMF + Capsaicin
Find out more: gpuopen.com/learn/new_co...
🔥 Machine-readable ISA for RDNA 3.5/4
🔥 #opensource Interactive Streaming SDK
🔥 Updates to AMF + Capsaicin
Find out more: gpuopen.com/learn/new_co...
Reposted by Guillaume Boissé
🔥 Don't miss the reveal of the next gen AMD Radeon RX 9000 series, along with new technologies, on February 28th at 8am ET/7am CT/5am PT.
🎉 You can watch the unveiling LIVE on the AMD Gaming YouTube channel: bit.ly/3CRgfvX
🎉 You can watch the unveiling LIVE on the AMD Gaming YouTube channel: bit.ly/3CRgfvX
February 21, 2025 at 9:09 PM
🔥 Don't miss the reveal of the next gen AMD Radeon RX 9000 series, along with new technologies, on February 28th at 8am ET/7am CT/5am PT.
🎉 You can watch the unveiling LIVE on the AMD Gaming YouTube channel: bit.ly/3CRgfvX
🎉 You can watch the unveiling LIVE on the AMD Gaming YouTube channel: bit.ly/3CRgfvX
Now drawn as a mesh 🎉
January 25, 2025 at 12:48 PM
Now drawn as a mesh 🎉
Testing the fluid sim. with object collision:)
January 14, 2025 at 7:27 PM
Testing the fluid sim. with object collision:)
To give a bit more detail on the SPH implementation, I build a tiled hash grid, where the hash points to a 4x4x4 tile (+ some linear probing for conflict handling).
Re-wrote my acceleration structure for neighbourhood search based on some insight from @vassvik.bsky.social and got significant speedups on large fluid simulations:) Here’s ~1/2 million particles ✨
January 10, 2025 at 9:23 PM
To give a bit more detail on the SPH implementation, I build a tiled hash grid, where the hash points to a 4x4x4 tile (+ some linear probing for conflict handling).
Re-wrote my acceleration structure for neighbourhood search based on some insight from @vassvik.bsky.social and got significant speedups on large fluid simulations:) Here’s ~1/2 million particles ✨
January 10, 2025 at 1:22 PM
Re-wrote my acceleration structure for neighbourhood search based on some insight from @vassvik.bsky.social and got significant speedups on large fluid simulations:) Here’s ~1/2 million particles ✨