high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Parallel external sorting for CUDA-enabled GPUs with load balancing and low transfer overhead

Hagen Peters, Ole Schulz-Hildebrandt, Norbert Luttenberger

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 280, Sorting

November 2, 2010 by hgpu

Linear algebra operators for GPU implementation of numerical algorithms

Jens Krüger, Rüdiger Westermann

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9800, Computer science, Finite difference, Fluid simulation, Linear Algebra, Navier-Stokes equations, NSEs, OpenGL, Raytracing, Rendering, Simulation support systems

November 2, 2010 by hgpu

Improving Performance of Matrix Multiplication and FFT on GPU

Xiang Cui, Yifeng Chen, Hong Mei

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Tags: Computer science, CUDA, FFT, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280

November 2, 2010 by hgpu

Acceleration of finite-difference time-domain (FDTD) using graphics processor units (GPU)

S. E. Krakiwsky, L. E. Turner, M. M. Okoniewski

Tags: Electrodynamics, FDTD, Finite-difference time-domain, Microwave engineering, OpenGL, Optics

November 2, 2010 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

A control-structure splitting optimization for GPGPU

Snaider Carrillo, Jakob Siegel, Xiaoming Li

Tags: Algorithm optimization, Computer science, CUDA, nVidia, Programming techniques

November 1, 2010 by hgpu

GPGPU: general purpose computation on graphics hardware

David Luebke, Mark Harris, Jens Krüger, Tim Purcell, Naga Govindaraju, Ian Buck, Cliff Woolley, Aaron Lefohn

Tags: Computer science, Review

November 1, 2010 by hgpu

A GPU accelerated storage system

Abdullah Gharaibeh, Samer A. Kiswany, Sathish Gopalakrishnan, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, Performance, Storage system

November 1, 2010 by hgpu

OpenVIDIA: parallel GPU computer vision

James Fung, Steve Mann

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Tags: Chirplet transform, Computer vision, Image processing, Mediated reality, nVidia, nVidia GeForce FX 5200, OpenGL, Package

November 1, 2010 by hgpu

Real-time particle systems on the GPU in dynamic environments

Shannon Drone

Tags: Computer science, Particle simulation, Real-time graphics

November 1, 2010 by hgpu

GPU-ClustalW: Using Graphics Hardware to Accelerate Multiple Sequence Alignment

Weiguo Liu, Bertil Schmidt, Gerrit Voss, Wolfgang Müller-Wittig

Tags: Bioinformatics, Biology, Computational biology, Computer science, Sequence alignment

November 1, 2010 by hgpu

GPU Simulation and Rendering of Volumetric Effects for Computer Games and Virtual Environments

Jens Kruger, Rudiger Westermann

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X800 XT, Computer science, Numerical simulation, nVidia, nVidia GeForce 6800 GT, OpenGL, Raytracing, Rendering

November 1, 2010 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel external sorting for CUDA-enabled GPUs with load balancing and low transfer overhead

Linear algebra operators for GPU implementation of numerical algorithms

Improving Performance of Matrix Multiplication and FFT on GPU

Acceleration of finite-difference time-domain (FDTD) using graphics processor units (GPU)

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

A control-structure splitting optimization for GPGPU

GPGPU: general purpose computation on graphics hardware

A GPU accelerated storage system

OpenVIDIA: parallel GPU computer vision

Real-time particle systems on the GPU in dynamic environments

GPU-ClustalW: Using Graphics Hardware to Accelerate Multiple Sequence Alignment

GPU Simulation and Rendering of Volumetric Effects for Computer Games and Virtual Environments

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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