high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng and Naren Ramakrishnan

View

Download (PDF)

Tags: Computer science, CUDA, Data mining, Neuroscience, nVidia, nVidia GeForce GTX 280, Programming techniques

January 2, 2011 by hgpu

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Pierre Kestener, Frederic Chateau, Romain Teyssier

View

Download (PDF)

Tags: CUDA, Mathematics, Numerical simulation, nVidia, nVidia GeForce 8800 GTX, Tesla S1070

January 2, 2011 by hgpu

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Dominik Scherer, Hannes Schulz, Sven Behnke

View

Download (PDF)

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis

Zhuo Feng, Zhiyu Zeng

View

Download (PDF)

Tags: Algorithms, Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Performing efficient NURBS modeling operations on the GPU

Adarsh Krishnamurthy, Rahul Khardekar, Sara McMains, Kirk Haller, Gershon Elber

View

Download (PDF)

Tags: Algorithms, Computer science, Image generation, nVidia, nVidia Quadro FX 4500, Visualization

January 2, 2011 by hgpu

GPU Color Constancy

Marc Ebner

View

Download (PDF)

Tags: Algorithms, Computer vision, GLSL, Image processing, OpenGL

December 29, 2010 by hgpu

Wrinkling Coarse Meshes on the GPU

Jorn Loviscach

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 6800 GT, Visualization

December 29, 2010 by hgpu

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

Fred V. Lionetti, Andrew D. McCulloch, Scott B. Baden

View

Download (PDF)

Tags: Computational biology, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 295, Optimization

December 29, 2010 by hgpu

Benchmarking GPU Devices with N-Body Simulations

Daniel P. Playne, Mitchell Johnson, Kenneth A. Hawick

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT

December 29, 2010 by hgpu

PNG1 triangles for tangent plane continuous surfaces on the GPU

Christoph Funfzig, Kerstin Muller, Dianne Hansford, Gerald Farin

View

Download (PDF)

Tags: Algorithms, Computer science, DirectX, nVidia, nVidia GeForce 8800 GTX, Rendering, Triangular meshes

December 29, 2010 by hgpu

Population Parallel GP on the G80 GPU

Denis Robilliard, Virginie Marion-Poty, Cyril Fonlupt

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia GeForce 8800 GTX, Package

December 29, 2010 by hgpu

GPU friendly fast Poisson solver for structured power grid network analysis

Jin Shi, Yici Cai, Wenting Hou, Liwei Ma, Sheldon X.-D. Tan, Pei-Hsin Ho, Xiaoyi Wan

View

Download (PDF)

Tags: Algorithms, Computational Engineering, Computer science, CUDA, nVidia, Tesla C870

December 29, 2010 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Programming

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis

Performing efficient NURBS modeling operations on the GPU

GPU Color Constancy

Wrinkling Coarse Meshes on the GPU

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

Benchmarking GPU Devices with N-Body Simulations

PNG1 triangles for tangent plane continuous surfaces on the GPU

Population Parallel GP on the G80 GPU

GPU friendly fast Poisson solver for structured power grid network analysis

Recent source codes

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Most viewed papers (last 30 days)