high performance computing on graphics processing units: hgpu.org

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A virtual memory based runtime to support multi-tenancy in clusters with GPUs

Michela Becchi, Kittisak Sajjapongse, Ian Graves, Adam Procter, Vignesh Ravi, Srimat Chakradhar

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Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, PC cluster, Tesla C1060, Tesla C2050, Virtualization

July 27, 2012 by hgpu

Speeding up Large-Scale Point-in-Polygon Test Based Spatial Join on GPUs

Jianting Zhang, Simin You

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Tags: Computer science, CUDA, Databases, Filtering, nVidia, nVidia Quadro FX 6000

July 27, 2012 by hgpu

High-Performance Spatial Join Processing on GPGPUs with Applications to Large-Scale Taxi Trip Data

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Databases, Filtering, Nearest neighbour, nVidia, nVidia Quadro FX 6000

July 27, 2012 by hgpu

CUDA Kernel Design for GPU-Based Beam Dymanics Simulations

K. Amyx, J. Balasalle, I. Pogorelov, M. Borland, R. Soliday, Y.Wang

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Tags: CUDA, nVidia, Physics, Tesla C2070

July 27, 2012 by hgpu

SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

Jungwon Kim, Sangmin Seo, Jun Lee, Jeongho Nah, Gangwon Jo, Jaejin Lee

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Tags: Code generation, Computer science, GPU cluster, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package, Programming Languages, Programming techniques

July 26, 2012 by hgpu

Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs

Malte Hoffmann, Claus-Dieter Munz, Z. J. Wang

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Tags: Algorithms, CUDA, Fluid dynamics, Graph theory, Navier-Stokes equations, NSEs, nVidia, Tesla C2050

July 26, 2012 by hgpu

Bidimensional Median Filter for Parallel Computing Architectures

Ricardo M. Sanchez, Paul A. Rodriguez

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Sorting

July 26, 2012 by hgpu

Parallelization of Data Intensive Code Using Computer Unified Device Architecture (CUDA)

Bhardwaj Aditi, Bhardwaj Rohatash K., Shishir K. Gangwar

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Tags: Algorithms, Biology, CUDA, nVidia, RNA

July 26, 2012 by hgpu

Fast End-to-End Multi-Conjugate AO Simulations Using Graphical Processing Units and the MAOS Simulation Code

Lianqi Wang, Brent Ellerbroek

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, Optics, Package, Physics

July 25, 2012 by hgpu

Accelerating Noninvasive Transmural Electrophysiological Imaging with CUDA

Martin Andrew Corraine

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Tags: CUDA, Heart, Medicine, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Tesla C2070, Thesis

July 25, 2012 by hgpu

Remote GPU-Accelerated Online Pre-processing of Raster Maps for Terrain Rendering

Rolf Westerteiger, Fang Chen, Andreas Gerndt, Bernd Hamann, Hans Hagen

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Rendering, Sensing, Visualization

July 25, 2012 by hgpu

Optimising Cosmological N-body Simulations in GPU Clusters

Santanu T

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Tags: Astrophysics, Cosmology, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Tesla S1070, Thesis

July 25, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Speeding up Large-Scale Point-in-Polygon Test Based Spatial Join on GPUs

High-Performance Spatial Join Processing on GPGPUs with Applications to Large-Scale Taxi Trip Data

CUDA Kernel Design for GPU-Based Beam Dymanics Simulations

SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs

Bidimensional Median Filter for Parallel Computing Architectures

Parallelization of Data Intensive Code Using Computer Unified Device Architecture (CUDA)

Fast End-to-End Multi-Conjugate AO Simulations Using Graphical Processing Units and the MAOS Simulation Code

Accelerating Noninvasive Transmural Electrophysiological Imaging with CUDA

Remote GPU-Accelerated Online Pre-processing of Raster Maps for Terrain Rendering

Optimising Cosmological N-body Simulations in GPU Clusters

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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