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hgpu.org » Programming » CUDA

Accelerate Smoothed Particle Hydrodynamics using GPU

Xiaopeng Gao, Zhiqiang Wang, Han Wan, Xiang Long

Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, Particle simulation

April 3, 2011 by hgpu

GPU acceleration of MOLAR for HRRT List-Mode OSEM reconstructions

W.C. Barker, S. Thada

Tags: CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia Quadro FX 4600, Tomography

April 3, 2011 by hgpu

A Light-weight API for Portable Multicore Programming

Christopher G. Baker, Michael A. Heroux, H. Carter Edwards, Alan B. Williams

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, OpenCL, RapidMind

April 3, 2011 by hgpu

Energy consumption of Graphic Processing Units with respect to automotive use-cases

L. Stolz, H. Endt, M. Vaaraniemi, D. Zehe, W. Stechele

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Tags: Computational Engineering, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9400 GT, nVidia GeForce GT 220, OpenCL

April 3, 2011 by hgpu

Throughput-Effective On-Chip Networks for Manycore Accelerators

Ali Bakhoda, John Kim, Tor M. Aamodt

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

April 2, 2011 by hgpu

Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

T.P. Stefanski, S. Benkler, N. Chavannes, N. Kuster

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, OpenCL, Performance

April 2, 2011 by hgpu

Speeding-up Pearson Correlation Coefficient calculation on graphical processing units

K.Berker Logoglu, Tugrul K. Ates

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Tags: ATI, ATI Radeon HD 5870, CUDA, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8600 M GT, nVidia GeForce GTX 285, OpenCL, Search, Signal processing

April 2, 2011 by hgpu

A characterization and analysis of PTX kernels

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, PTX

April 2, 2011 by hgpu

Parallel computing with CUDA

M. Garland

Tags: Computer science, CUDA, nVidia, Programming techniques

April 2, 2011 by hgpu

Non-intrusive Performance Analysis of Parallel Hardware Accelerated Applications on Hybrid Architectures

Robert Dietrich, Thomas Ilsche, Guido Juckeland

Tags: Computer science, CUDA, nVidia, OpenCL, Performance

April 1, 2011 by hgpu

Message Passing Interface support for the runtime adaptive multi-processor system-on-chip RAMPSoC

D. Gohringer, M. Hubner, L. Hugot-Derville, J. Becker

Tags: Computer science, CUDA, MPI, nVidia, OpenCL, OpenGL

April 1, 2011 by hgpu

Higher order FEM numerical integration on GPUs with OpenCL

Przemyslaw Plaszewski, Krzysztof Banas, Pawel Maciol

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 275, nVidia GeForce GTX 285, OpenCL

April 1, 2011 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

Accelerate Smoothed Particle Hydrodynamics using GPU

GPU acceleration of MOLAR for HRRT List-Mode OSEM reconstructions

A Light-weight API for Portable Multicore Programming

Energy consumption of Graphic Processing Units with respect to automotive use-cases

Throughput-Effective On-Chip Networks for Manycore Accelerators

Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

Speeding-up Pearson Correlation Coefficient calculation on graphical processing units

A characterization and analysis of PTX kernels

Parallel computing with CUDA

Non-intrusive Performance Analysis of Parallel Hardware Accelerated Applications on Hybrid Architectures

Message Passing Interface support for the runtime adaptive multi-processor system-on-chip RAMPSoC

Higher order FEM numerical integration on GPUs with OpenCL

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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