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Gauge fixing using overrelaxation and simulated annealing on GPUs

Mario Schrock, Hannes Vogt

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Tags: Algorithms, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 580, Physics, Probability

September 19, 2012 by hgpu

Implementation of QR Updating Algorithms on the GPU

Robert Andrew

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Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, Tesla M2050, Thesis

September 18, 2012 by hgpu

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit

Giovanni Cerchiari, Fabrizio Croccolo, Frederic Cardinaux, Frank Scheffold

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Tags: CUDA, Data acquisition, Microscopy, nVidia, Optics, Physics, Soft Condensed Matter, Tesla C2050

September 18, 2012 by hgpu

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms

George Teodoro, Tony Pan, Tahsin M. Kurc, Jun Kong, Lee A. D. Cooper, Joel H. Saltz

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Tags: Computer science, CUDA, nVidia, Optimization, Prefetch, Task scheduling, Tesla M2090

September 18, 2012 by hgpu

Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines

George Teodoro, Tony Pan, Tahsin Kurc, Jun Kong, Lee Cooper, Joel Saltz

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Tags: Algorithms, Computer science, CUDA, Distance transform, Heterogeneous systems, Image processing, nVidia, Tesla M2090

September 18, 2012 by hgpu

Seismic damage simulation for urban buildings based on high-performance GPU computing

Bo Han, Xinzheng Lu, Zhen Xu, Yi Li

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 460, Seismic modeling, Seismology

September 17, 2012 by hgpu

A GPU operations framework for WattDB

Vitor Uwe Reus

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 430, Thesis

September 17, 2012 by hgpu

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Tony Kam-Thong

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Tags: Biology, CUDA, Genetics, Machine learning, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Package, Thesis

September 16, 2012 by hgpu

Parallel Benefit on Different Programming Paradigms

Chau-Yi Chou, Sheng-Hsiu Kuo, Chih-Wei Hsieh, Tsung-Che Tsai, Hsi-Ya Chang

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 200, OpenMP, Performance

September 16, 2012 by hgpu

Parallel Implementation of Moving Averages and Stock Market Prediction

John Jenq

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Tags: CUDA, Finance, Neural networks, nVidia, nVidia GeForce GT 550 M

September 16, 2012 by hgpu

Accelerating the Smith-Waterman Algorithm for Bio-sequence Matching on GPU

Qianghua Zhu, Fei Xia, Guoqing Jin

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Databases, nVidia, nVidia GeForce GTX 470, Sequence alignment, Sequence matching, Smith-Waterman algorithm

September 16, 2012 by hgpu

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

Juan C. Cuevas-Tello

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Tags: Algorithms, Artificial intelligence, Astrophysics, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Physics

September 16, 2012 by hgpu

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

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high performance computing on graphics processing units: hgpu.org

Programming

Gauge fixing using overrelaxation and simulated annealing on GPUs

Implementation of QR Updating Algorithms on the GPU

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms

Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines

Seismic damage simulation for urban buildings based on high-performance GPU computing

A GPU operations framework for WattDB

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Parallel Benefit on Different Programming Paradigms

Parallel Implementation of Moving Averages and Stock Market Prediction

Accelerating the Smith-Waterman Algorithm for Bio-sequence Matching on GPU

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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