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GPU Join Processing Revisited

Tim Kaldewey, Guy Lohman, Rene Mueller, Peter Volk

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 580

June 3, 2012 by hgpu

Parallel Triangular Solvers on GPU

Hui Liu, Song Yu, Zhangxin Chen

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050, Tesla C2070

June 3, 2012 by hgpu

Ultra-Fast Displaying Spectral Domain Optical Doppler Tomography System Using a Graphics Processing Unit

Hyosang Jeong, Nam Hyun Cho, Unsang Jung, Changho Lee, Jeong-Yeon Kim, Jeehyun Kim

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Tags: CUDA, Data acquisition, FFT, Medicine, nVidia, nVidia GeForce GTX 480, Tomography

June 3, 2012 by hgpu

MPI-ACC: An Integrated and Extensible Approach to Data Movement in Accelerator-Based Systems

Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Wu-chun Feng, Keith R. Bisset, Rajeev Thakur

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C2050

June 1, 2012 by hgpu

A Data-Parallel Extension to Ruby for GPGPU

Hidehiko Masuhara, Yusuke Nishiguchi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, Package, Programming Languages

June 1, 2012 by hgpu

Generating Device-specific GPU code for Local Operators in Medical Imaging

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Code generation, CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 5800, OpenCL, RapidMind, Tesla C2050

June 1, 2012 by hgpu

Large-scale Nanostructure Simulations from X-ray Scattering Data On Graphics Processor Clusters

Abhinav Sarje, Jack Pien, Xiaoye S. Li, Elaine Chan, Slim Chourou, Alexander Hexemer, Arthur Scholz and Edward Kramer

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Tags: Algorithms, CUDA, GPU cluster, Monte Carlo simulation, MPI, nVidia, Optimization, Physics, Tesla C2050, Tesla M2090

May 30, 2012 by hgpu

X-Device Query Processing by Bitwise Distribution

Holger Pirk, Thibault Sellam, Stefan Manegold, Martin Kersten

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

May 30, 2012 by hgpu

GPU-accelerated simulation of colloidal suspensions with direct hydrodynamic interactions

Michael Kopp, Felix Hofling

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Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, nVidia, Package, Physics, Tesla C2050, Tesla S1070

May 30, 2012 by hgpu

Performance-Analysis-Based Acceleration of Image Quality Assessment

Thien Phan, Sohum Sohoni, Damon M. Chandler, Eric C. Larson

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 560 Ti

May 29, 2012 by hgpu

A GPU-Based Track-Repeating Algorithm for Dose Calculation for Photon Radiotherapy

Pablo Yepes

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Tags: Algorithms, CUDA, Medicine, nVidia, nVidia GeForce GTX 295, Proton radiotherapy, Radiotherapy

May 29, 2012 by hgpu

Hybrid Update Algorithms for Regular Lattice and Small-World Ising Models on Graphical Processing Units

A. Leist, K.A. Hawick, D.P. Playne

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Tags: Algorithms, CUDA, Ising model, nVidia, Physics

May 29, 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

GPU Join Processing Revisited

Parallel Triangular Solvers on GPU

Ultra-Fast Displaying Spectral Domain Optical Doppler Tomography System Using a Graphics Processing Unit

MPI-ACC: An Integrated and Extensible Approach to Data Movement in Accelerator-Based Systems

A Data-Parallel Extension to Ruby for GPGPU

Generating Device-specific GPU code for Local Operators in Medical Imaging

Large-scale Nanostructure Simulations from X-ray Scattering Data On Graphics Processor Clusters

X-Device Query Processing by Bitwise Distribution

GPU-accelerated simulation of colloidal suspensions with direct hydrodynamic interactions

Performance-Analysis-Based Acceleration of Image Quality Assessment

A GPU-Based Track-Repeating Algorithm for Dose Calculation for Photon Radiotherapy

Hybrid Update Algorithms for Regular Lattice and Small-World Ising Models on Graphical Processing Units

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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