high performance computing on graphics processing units: hgpu.org

hgpu.org » Pixel shaders

Accelerating Discrete Wavelet Transforms on GPUs

David Barina, Michal Kula, Michal Matysek, Pavel Zemcik

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Tags: ATI, ATI Radeon HD 6970, Computer science, Discrete Wavelet Transform, HLSL, Image processing, nVidia, nVidia GeForce GTX Titan X, OpenCL, Pixel shaders

May 24, 2017 by hgpu

Accelerating Discrete Wavelet Transforms on Parallel Architectures

David Barina, Michal Kula, Michal Matysek, Pavel Zemcik

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Discrete Wavelet Transform, Image processing, nVidia, nVidia GeForce GTX Titan X, OpenCL, OpenGL, Performance, Pixel shaders

April 30, 2017 by hgpu

Neon: A Domain-Specific Programming Language for Image Processing

Brian Guenter, Diego Nehab

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Tags: ATI, ATI Radeon HD 4850, ATI Radeon HD 5870, Code generation, DirectX, High-level Languages, HLSL, Image processing, nVidia, nVidia GeForce GTX 470, Pixel shaders

November 18, 2011 by hgpu

Real-Time Volumetric Shadows using 1D Min-Max Mipmaps

Jiawen Chen, Ilya Baran, Fredo Durand, Wojciech Jarosz

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, nVidia, nVidia GeForce GTX 480, Pixel shaders

September 13, 2011 by hgpu

Real-time video watermarking on programmable graphics hardware

Alan Brunton, Jiying Zhao

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Tags: ATI, ATI Radeon 9500 Pro, Image processing, nVidia, nVidia GeForce 6800, Pixel shaders, Security

August 2, 2011 by hgpu

GPU-assisted decoding of video samples represented in the YCoCg-R color space

Wesley De Neve, Dieter Van Rijsselbergen, Charles Hollemeersch, Jan De Cock, Stijn Notebaert, Rik Van de Walle

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Tags: FRExt, H.264/AVC, Image processing, nVidia GeForce 6800, nVidia GeForce FX 5900, Pixel shaders, YCoCg, YCoCg-R

November 1, 2010 by hgpu

Brian2 Atlas

A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelLens: Deploying Triton Kernels to C++ Inference Engines

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

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high performance computing on graphics processing units: hgpu.org

Accelerating Discrete Wavelet Transforms on GPUs

Accelerating Discrete Wavelet Transforms on Parallel Architectures

Neon: A Domain-Specific Programming Language for Image Processing

Real-Time Volumetric Shadows using 1D Min-Max Mipmaps

Real-time video watermarking on programmable graphics hardware

GPU-assisted decoding of video samples represented in the YCoCg-R color space

Recent source codes

Brian2 Atlas

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

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