high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

NVIDIA Tesla: A Unified Graphics and Computing Architecture

Erik Lindholm, J. Nickolls, S. Oberman, J. Montrym

Tags: Computer science, Hardware, nVidia, Review, Tesla

November 5, 2010 by hgpu

Accelerator: using data parallelism to program GPUs for general-purpose uses

David Tarditi, Sidd Puri, Jose Oglesby

View

Download (PDF)

Tags: ATI, ATI Radeon X1800, ATI Radeon X850 XT, Computer science, High-level Languages, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GTX

November 5, 2010 by hgpu

A translation system for enabling data mining applications on GPUs

Wenjing Ma, Gagan Agrawal

View

Download (PDF)

Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GX2

November 5, 2010 by hgpu

A Task Parallel Algorithm for Computing the Costs of All-Pairs Shortest Paths on the CUDA-Compatible GPU

Tomohiro Okuyama, Fumihiko Ino, Kenichi Hagihara

View

Download (PDF)

Tags: Algorithms, All-Pairs Distance, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Path problems

November 5, 2010 by hgpu

ECM on Graphics Cards

Daniel Bernstein, Tien-Ren Chen, Chen-Mou Cheng, Tanja Lange, Bo-Yin Yang

View

Download (PDF)

Tags: Computer science, CUDA, Edwards curves, Elliptic curves, Elliptic-curve method of factorization, Factorization, Modular arithmetic, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Security

November 5, 2010 by hgpu

Solving Path Problems on the GPU

Aydin Buluc, John R. Gilbert, Ceren Budak

View

Download (PDF)

Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce 8800 Ultra, Package, Path problems

November 5, 2010 by hgpu

Parallel search on video cards

Tim Kaldewey, Jeff Hagen, Andrea Di Blas, Eric Sedlar

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Search

November 5, 2010 by hgpu

A Performance Comparison of CUDA and OpenCL

Kamran Karimi, Neil G. Dickson, Firas Hamze

View

Download (PDF)

Tags: Computational Physics, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, OpenCL, Package, Performance

November 5, 2010 by hgpu

Faster matrix-vector multiplication on GeForce 8800GTX

N. Fujimoto

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTX

November 5, 2010 by hgpu

Exploiting frame-to-frame coherence for accelerating high-quality volume raycasting on graphics hardware

T. Klein, M. Strengert, S. Stegmaier, T. Ertl

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 7800 GTX, OpenGL, Raytracing, Visualization

November 5, 2010 by hgpu

GPUTeraSort: high performance graphics co-processor sorting for large database management

Naga Govindaraju, Jim Gray, Ritesh Kumar, Dinesh Manocha

View

Download (PDF)

Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GT, Sorting

November 5, 2010 by hgpu

Simple dynamic LOD for geometry images

Benjam'{i}n Hernandez, Isaac Rudomin

View

Download (PDF)

Tags: Computer science, Image generation, nVidia, nVidia GeForce 6800 GT, OpenGL, Rendering

November 4, 2010 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

NVIDIA Tesla: A Unified Graphics and Computing Architecture

Accelerator: using data parallelism to program GPUs for general-purpose uses

A translation system for enabling data mining applications on GPUs

A Task Parallel Algorithm for Computing the Costs of All-Pairs Shortest Paths on the CUDA-Compatible GPU

ECM on Graphics Cards

Solving Path Problems on the GPU

Parallel search on video cards

A Performance Comparison of CUDA and OpenCL

Faster matrix-vector multiplication on GeForce 8800GTX

Exploiting frame-to-frame coherence for accelerating high-quality volume raycasting on graphics hardware

GPUTeraSort: high performance graphics co-processor sorting for large database management

Simple dynamic LOD for geometry images

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

Most viewed papers (last 30 days)