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PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach

Freddie D Witherden, Antony M Farrington, Peter E Vincent

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Tags: Computational Physics, CUDA, Finite difference, Fluid dynamics, Navier-Stokes equations, NSEs, Numerical Analysis, nVidia, Python, Tesla K20, Tesla M2090

December 6, 2013 by hgpu

Similarity Search in Metric Spaces on Parallel multi-core and multi-GPU Platforms

Ricardo Javier Barrientos Rojel

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Search strategies, Tesla C1060, Tesla M2070, Thesis

December 6, 2013 by hgpu

A Fast Implementation of Parallel Discrete-Event Simulation on GPGPU

Janche Sang, Che-Rung Lee, Vernon Rego, Chung-Ta King

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2070, Thrust

December 6, 2013 by hgpu

Using Shared Memory as a Cache in Cellular Automata Water Flow Simulations on GPUs

Pawel Topa, Pawel Mlocek

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Tags: Algorithms, Cellular automata, CUDA, Fluid dynamics, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GTX 295, nVidia Quadro FX 4800, nVidia Quadro NVS 140 M

December 6, 2013 by hgpu

Applications of Many-Core Technologies to On-line Event Reconstruction in High Energy Physics Experiments

A. Gianelle, S. Amerio, D. Bastieri, M. Corvo, W. Ketchum, T. Liu, A. Lonardo, D. Lucchesi, S. Poprocki, R. Rivera, L. Tosoratto, P. Vicini, P. Wittich

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Tags: ATI, ATI Radeon HD 7970, CUDA, High Energy Physics - Experiment, Instrumentation and Detectors, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance, Physics, Tesla K20, Tesla M2050

December 6, 2013 by hgpu

Fast quantum Monte Carlo on a GPU

Y. Lutsyshyn

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560, Physics, Tesla K20, Tesla M2090

December 6, 2013 by hgpu

Computing OpenSURF on OpenCL and General Purpose GPU

Wanglong Yan, Xiaohua Shi, Xin Yan, Lina Wang

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, Computer vision, Memory model, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 660, OpenCL

December 4, 2013 by hgpu

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Kazumasa Ikeuchi, Janaka Wijekoon, Shinichi Ishida, Hiroaki Nishi

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, Software router, String matching

December 4, 2013 by hgpu

Exploiting Heterogeneous Systems: Keccak on OpenCL

Allan Mariano de Souza, Fabio Dacencio Pereira, Edward David Moreno

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, OpenCL, Security

December 4, 2013 by hgpu

Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters

Mudassar Majeed, Usman Dastgeer, Christoph Kessler

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Tags: Algorithms, Computer science, CUDA, GPU cluster, N-body simulation, nVidia, Tesla M2090

December 4, 2013 by hgpu

A Hybrid Approach to Parallel Connected Component Labeling Using CUDA

Youngsung Soh, Hadi Ashraf, Yongsuk Hae, Intaek Kim

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti

December 4, 2013 by hgpu

Optimizing Data Locality for Iterative Matrix Solvers on CUDA

Raymond Flagg, Jason Monk, Yifeng Zhu, Bruce Segee

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Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

December 4, 2013 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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high performance computing on graphics processing units: hgpu.org

Applications

PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach

Similarity Search in Metric Spaces on Parallel multi-core and multi-GPU Platforms

A Fast Implementation of Parallel Discrete-Event Simulation on GPGPU

Using Shared Memory as a Cache in Cellular Automata Water Flow Simulations on GPUs

Applications of Many-Core Technologies to On-line Event Reconstruction in High Energy Physics Experiments

Fast quantum Monte Carlo on a GPU

Computing OpenSURF on OpenCL and General Purpose GPU

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Exploiting Heterogeneous Systems: Keccak on OpenCL

Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters

A Hybrid Approach to Parallel Connected Component Labeling Using CUDA

Optimizing Data Locality for Iterative Matrix Solvers on CUDA

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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