high performance computing on graphics processing units: hgpu.org

Programming

Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi

Erik Saule, Kamer Kaya, Umit V. Catalyurek

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Tags: Computer science, CUDA, Hardware Architecture, Intel, Intel Phi, Matrix multiplication, nVidia, Performance, Sparse matrix, Tesla C2050, Tesla K20

February 6, 2013 by hgpu

An Implementation of Conflict-Free Offline Permutation on the GPU

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

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Tags: Computer science, CUDA, Memory, Memory model, nVidia, nVidia GeForce GTX 680, Performance

February 6, 2013 by hgpu

Hardware Accelerated Molecular Docking: A Survey

Imre Pechan, Bela Feher

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Tags: Bioinformatics, Biology, CUDA, FPGA, Molecular simulation, nVidia, Tesla C1060

February 6, 2013 by hgpu

Parallel k-Means Image Segmentation Using Sort, Scan & Connected Components on a GPU

Michael Backer, Jan Tunnermann, Barbel Mertsching

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 580

February 6, 2013 by hgpu

A Multi-GPU Sources Reconstruction Method for Imaging Applications

Miguel Lopez-Portugues, Yuri Alvarez, Jesus A. Lopez-Fernandez, Cebrian Garcia, Rafael G. Ayestaran, Fernando Las-Heras

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Tags: CUDA, Electrodynamics, GPU cluster, nVidia, nVidia GeForce GTX 560, nVidia GeForce GTX 680, Signal processing

February 6, 2013 by hgpu

Grex: An efficient MapReduce framework for graphics processing units

Can Basaran, Kyoung-Don Kang

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Tags: Computer science, CUDA, MapReduce, nVidia, nVidia GeForce GTX 460

February 5, 2013 by hgpu

GPU-Accelerated High-Accuracy Molecular Docking using Guided Differential Evolution

Martin Simonsen, Mikael H. Christensen, Rene Thomsen, Christian N. S. Pedersen

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Tags: Biology, CUDA, Differential evolution, Medicine, nVidia, nVidia GeForce 8800 GT, Pharmaceuticals

February 5, 2013 by hgpu

Real-Time Phase Masks for Interactive Stimulation of Optogenetic Neurons

Stephan C. Kramer, Johannes Hagemann, D. Russell Luke

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Tags: Biology, CUDA, Mathematics, Neurons and Cognition, nVidia, Optimization, Tesla C2070

February 5, 2013 by hgpu

Parallelization of the QR Decomposition with Column Pivoting Using Column Cyclic Distribution on Multicore and GPU Processors

Andres Tomas, Zhaojun Bai, Vicente Hernandez

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Tesla C2050

February 3, 2013 by hgpu

Hybrid CPU-GPU Distributed Framework for Large Scale Mobile Networks Simulation

Ben Romdhanne Bilel, Nikaein Navid, Mohamed Said Mosli Bouksiaa, Christian Bonnet

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Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 460, Programming techniques

February 3, 2013 by hgpu

JPEG 2000 Wireless Image Transmission System using Encryption Domain Authentication

Ryo Ito, Muneaki Matsuo, Yuya Miyaoka, Koji Inoue, Shoma Eguchi, Masayuki Kurosaki, Hiroshi Ochi, Yoshimitsu Kuroki, Akio Miyazaki

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Tags: Computer science, CUDA, JPEG2000, nVidia, Security

February 3, 2013 by hgpu

Fast and Maliciously Secure Two-Party Computation Using the GPU

Tore Kasper Frederiksen, Jesper Buus Nielsen

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Package, Security

February 3, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi

An Implementation of Conflict-Free Offline Permutation on the GPU

Hardware Accelerated Molecular Docking: A Survey

Parallel k-Means Image Segmentation Using Sort, Scan & Connected Components on a GPU

A Multi-GPU Sources Reconstruction Method for Imaging Applications

Grex: An efficient MapReduce framework for graphics processing units

GPU-Accelerated High-Accuracy Molecular Docking using Guided Differential Evolution

Real-Time Phase Masks for Interactive Stimulation of Optogenetic Neurons

Parallelization of the QR Decomposition with Column Pivoting Using Column Cyclic Distribution on Multicore and GPU Processors

Hybrid CPU-GPU Distributed Framework for Large Scale Mobile Networks Simulation

JPEG 2000 Wireless Image Transmission System using Encryption Domain Authentication

Fast and Maliciously Secure Two-Party Computation Using the GPU

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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