high performance computing on graphics processing units: hgpu.org

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GPU-based fast Monte Carlo simulation for radiotherapy dose calculation

Xun Jia, Xuejun Gu, Yan Jiang Graves, Michael Folkerts, Steve B. Jiang

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Tags: CUDA, Medical Physics, Monte Carlo simulation, nVidia, Physics, Radiotherapy, Tesla C2050

July 19, 2011 by hgpu

ForOpenCL: Transformations Exploiting Array Syntax in Fortran for Accelerator Programming

Matthew J. Sottile, Craig E Rasmussen, Wayne N. Weseloh, Robert W. Robey, Daniel Quinlan, Jeffrey Overbey

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Tags: Computer science, Fortran, nVidia, OpenCL, Package, Programming Languages, Tesla C2050

July 14, 2011 by hgpu

Accelerating the Nussinov RNA folding algorithm with CUDA/GPU

Dar-Jen Chang, C. Kimmer, Ming Ouyang

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Tags: Biology, CUDA, Macromolecule, nVidia, Tesla C1060, Tesla C2050, Tesla C870

July 12, 2011 by hgpu

Design and performance evaluation of a digital wideband receiver on a hybrid computing platform

Kiran George, Chien-In Henry Chen

Tags: FPGA, nVidia, Signal processing, Tesla C2050

July 12, 2011 by hgpu

Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia Quadro FX 5800, OpenCL, Performance, RapidMind, Tesla C2050

July 9, 2011 by hgpu

A Hybrid Computing Platform Digital Wideband Receiver Design and Performance Measurement

K. George, C.-I. H. Chen

Tags: FPGA, nVidia, Performance, Signal processing, Tesla C2050

June 30, 2011 by hgpu

QCD simulations with staggered fermions on GPUs

C. Bonati, G. Cossu, M. D'Elia, P. Incardona

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GT 430, OpenCL, Physics, Tesla C1060, Tesla C2050, Tesla C2070

June 29, 2011 by hgpu

Auto-tuning Dense Matrix Multiplication for GPGPU with Cache

Xiang Cui, Yifeng Chen, Changyou Zhang, Hong Mei

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Tesla C2050

June 19, 2011 by hgpu

A comparative study of GPU programming models and architectures using neural networks

Vivek Pallipuram, Mohammad Bhuiyan, Melissa Smith

Tags: ATI, Computer science, CUDA, Neural networks, nVidia, OpenCL, Performance, Tesla C2050

June 14, 2011 by hgpu

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

June 14, 2011 by hgpu

Performance Analysis of the OP2 Framework on Many-core Architectures

M.B. Giles, G.R. Mudalige, Z. Sharif, G. Markall and P.H.J Kelly

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Tags: CUDA, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 260, OpenMP, Package, Performance, Tesla C2050

June 5, 2011 by hgpu

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, Seiji Yunoki

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Tags: Computational Physics, Condensed matter, CUDA, nVidia, Performance, Physics, Tesla C2050

May 30, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU-based fast Monte Carlo simulation for radiotherapy dose calculation

ForOpenCL: Transformations Exploiting Array Syntax in Fortran for Accelerator Programming

Accelerating the Nussinov RNA folding algorithm with CUDA/GPU

Design and performance evaluation of a digital wideband receiver on a hybrid computing platform

Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

A Hybrid Computing Platform Digital Wideband Receiver Design and Performance Measurement

QCD simulations with staggered fermions on GPUs

Auto-tuning Dense Matrix Multiplication for GPGPU with Cache

A comparative study of GPU programming models and architectures using neural networks

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Performance Analysis of the OP2 Framework on Many-core Architectures

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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