high performance computing on graphics processing units: hgpu.org

Programming

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

Hyesoon Kim, Richard Vuduc, Wen-mei Hwu, Sara Baghsorkhi

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Tags: Algorithms, Book, Computer science, CUDA, Fast multipole method, N-body simulation, nVidia, OpenCL, Optimization, Particle simulation, Performance, Review

January 17, 2013 by hgpu

A GPU Based Implementation of Side Effect Analysis

Sudhakar Sah, Vinay G. Vaidya

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Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

January 17, 2013 by hgpu

Application of GPU Smooth Particle Hydrodynamics: Wave Runup and Overtopping on Composite Slopes

Billy L. Edge, Margery F. Overton, Robert A. Dalrymple, Alexis Herault, Giuseppe Bilotta, M. Onur Kurum, Kevin Gamiel

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Source codes

Tags: CUDA, Earth and Space Sciences, Fluid dynamics, nVidia, Package

January 17, 2013 by hgpu

Burrows-Wheeler Aligner: A Parallel Approach

Sheridan Lee Wright

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Tags: Algorithms, Bioinformatics, Biology, CUDA, MPI, nVidia, Sequence alignment, Thesis

January 16, 2013 by hgpu

A parallel implementation of a derivative pricing model incorporating SABR calibration and probability lookup tables

Qasim Nasar-Ullah

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Tags: Computational finance, Computer science, CUDA, Finance, nVidia, Tesla M2070

January 16, 2013 by hgpu

Efficient implementation of multiuser precoding algorithms on GPU for MIMO-OFDM systems

Fernando Domene, Sandra Roger, Carla Ramiro, Gema Pinero, Alberto Gonzalez

Tags: Algorithms, CUDA, MIMO, nVidia, nVidia Quadro FX 5800, Signal processing

January 16, 2013 by hgpu

On the Use of Graphic Processing Units for the Efficient Implementation of MIMO Detectors

Sandra Roger, Carla Ramiro, Alberto Gonzalez, Vicenc Almenar, Antonio M. Vidal

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Tags: Algorithms, CUDA, MIMO, nVidia, Signal processing, Tesla C2070

January 16, 2013 by hgpu

Analytic Visibility on the GPU

T. Auzinger, M. Wimmer, S. Jescke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 680, Rendering, Triangular meshes

January 16, 2013 by hgpu

Three Dimensional Fast Fourier Transform CUDA Implementation

Kumar Aatish, Boyan Zhang

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, Tesla C2050

January 15, 2013 by hgpu

Two Approaches to Particle Simulation: OpenMPI and CUDA

Bjorn Christian Seime, Matteo Mannino, Terje Runde

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Tags: Computer science, CUDA, MPI, N-body simulation, nVidia, nVidia GeForce GTX 280, OpenMPI, Particle simulation, Tesla C2050

January 15, 2013 by hgpu

Ray Tracing in Real-Time Games

J. Bikker

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Games, Image generation, nVidia, nVidia GeForce GTX 470, Rasterization, Raytracing, Rendering, Thesis

January 15, 2013 by hgpu

Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

Trong-Tuan Vu, Bilel Derbel, Nouredine Melab

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Performance, Tesla T10

January 14, 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 Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

A GPU Based Implementation of Side Effect Analysis

Application of GPU Smooth Particle Hydrodynamics: Wave Runup and Overtopping on Composite Slopes

Burrows-Wheeler Aligner: A Parallel Approach

A parallel implementation of a derivative pricing model incorporating SABR calibration and probability lookup tables

Efficient implementation of multiuser precoding algorithms on GPU for MIMO-OFDM systems

On the Use of Graphic Processing Units for the Efficient Implementation of MIMO Detectors

Analytic Visibility on the GPU

Three Dimensional Fast Fourier Transform CUDA Implementation

Two Approaches to Particle Simulation: OpenMPI and CUDA

Ray Tracing in Real-Time Games

Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

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

Most viewed papers (last 30 days)