high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Automatic tuning matrix multiplication performance on graphics hardware

Changhao Jiang, M. Snir

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Tags: Brook, Computer science, DirectX, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5800 Ultra, nVidia Quadro FX 3400, OpenGL

November 30, 2010 by hgpu

Efficient relational database management using graphics processors

Naga K. Govindaraju, Dinesh Manocha

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce FX 5900 Ultra, nVidia GeForce FX 6800 Ultra, Sorting

November 30, 2010 by hgpu

Graphics Hardware Implementation of the Parameter-Less Self-organising Map

Alexander Campbell, Erik Berglund, Alexander Streit

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Tags: Cg, Computer science, Neural networks, nVidia, nVidia GeForce 6800, Self-organizing map

November 30, 2010 by hgpu

Taking the graphics processor beyond graphics

D. Geer

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Tags: Computer science, Review

November 30, 2010 by hgpu

Scientific computation for simulations on programmable graphics hardware

Robert Strzodka, Michael Doggett, Andreas Kolb

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Tags: Computer science, Numerical simulation, Review

November 30, 2010 by hgpu

Blister: GPU-based rendering of Boolean combinations of free-form triangulated shapes

John Hable, Jarek Rossignac

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Tags: Algorithms, Computer science, Image generation, nVidia, nVidia GeForce 6800, Shaders

November 30, 2010 by hgpu

The application of GPU particle tracing to diffusion tensor field visualization

P. Kondratieva, J. Kruger, R. Westermann

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Tags: Computer science, Medicine, nVidia, nVidia Quadro FX 4400, Shaders, Visualization

November 30, 2010 by hgpu

Large steps in GPU-based deformable bodies simulation

E. Tejada, T. Ertl

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7800, OpenGL, Rendering

November 30, 2010 by hgpu

A GPU accelerated spring mass system for surgical simulation

J. Mosegaard, P. Herborg, T. S. Sorensen

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Tags: 3D Graphics and Realism, Cg, Medicine, nVidia, nVidia Quadro FX 2600 Ultra, OpenGL, Surgical simulation

November 30, 2010 by hgpu

GPU accelerated surgical simulators for complex morphology

J. Mosegaard, T. S. Sorensen

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Tags: 3D Graphics and Realism, Cg, Medicine, nVidia, nVidia GeForce 6800 Ultra, OpenGL, Surgical simulation

November 30, 2010 by hgpu

Have GPUs made FPGAs redundant in the field of video processing?

B. Cope, P. Y. K. Cheung, W. Luk, S. Witt

Tags: Computer science, FPGA, Image processing

November 29, 2010 by hgpu

The GeForce 6 series GPU architecture

Emmett Kilgariff, Randima Fernando

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Tags: Computer science, Hardware, nVidia, nVidia GeForce 6800 Ultra

November 29, 2010 by hgpu

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

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

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

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

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

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

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

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

Hunting CUDA Bugs at Scale with cuFuzz

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high performance computing on graphics processing units: hgpu.org

Applications

Automatic tuning matrix multiplication performance on graphics hardware

Efficient relational database management using graphics processors

Graphics Hardware Implementation of the Parameter-Less Self-organising Map

Taking the graphics processor beyond graphics

Scientific computation for simulations on programmable graphics hardware

Blister: GPU-based rendering of Boolean combinations of free-form triangulated shapes

The application of GPU particle tracing to diffusion tensor field visualization

Large steps in GPU-based deformable bodies simulation

A GPU accelerated spring mass system for surgical simulation

GPU accelerated surgical simulators for complex morphology

Have GPUs made FPGAs redundant in the field of video processing?

The GeForce 6 series GPU architecture

Recent source codes

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

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

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

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

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

True 4-Bit Quantized CNN Training on CPU

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

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