high performance computing on graphics processing units: hgpu.org

hgpu.org » Tesla C870

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

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

December 29, 2010 by hgpu

GPU based sparse grid technique for solving multidimensional options pricing PDEs

Abhijeet Gaikwad, Ioane Muni Toke

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Tags: Computational finance, CUDA, Finance, Linear Algebra, nVidia, Sparse matrix, Tesla C870

December 28, 2010 by hgpu

Multi-domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU

Ojaswa Sharma, Qin Zhang, Francois Anton, Chandrajit Bajaj

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Tags: Computer vision, CUDA, Image processing, nVidia, Tesla C870

December 25, 2010 by hgpu

Performance analysis of accelerated image registration using GPGPU

Peter Bui, Jay B. Brockman

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Tags: CUDA, Image processing, Image registration, nVidia, Tesla C870

December 21, 2010 by hgpu

GPU Accelerated RNA Folding Algorithm

Guillaume Rizk, Dominique Lavenier

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, Tesla C870

December 17, 2010 by hgpu

Scalable and highly parallel implementation of Smith-Waterman on graphics processing unit using CUDA

Ali Akoglu, Gregory Striemer

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C870

December 15, 2010 by hgpu

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Rene Hussong, Barbara Gregorius, Andreas Tholey, Andreas Hildebrandt

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Source codes

Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C870

November 28, 2010 by hgpu

Scattering Points in Parallel Coordinates

Xiaoru Yuan, Peihong Guo, He Xiao, Hong Zhou, Huamin Qu

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Tags: Computer science, CUDA, Multidimensional scaling, nVidia, Tesla C870, Visualization

November 28, 2010 by hgpu

Performance Analysis of IBM Cell Broadband Engine on Sequence Alignment

Yang Song, Gregory M. Striemer, Ali Akoglu

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Tags: Bioinformatics, Biology, Cell processor, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C870

November 27, 2010 by hgpu

Molecular dynamics simulation of complex multiphase flow on a computer cluster with GPUs

Feiguo Chen, Wei Ge, Jinghai Li

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Tags: Chemistry, CUDA, GPU cluster, Molecular dynamics, MPI, nVidia, Tesla C870

November 27, 2010 by hgpu

Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems

Sundaresan Venkatasubramanian, Richard W. Vuduc, None None

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 570, Performance, Tesla C1060, Tesla C870

November 22, 2010 by hgpu

GPU computing with Kaczmarz’s and other iterative algorithms for linear systems

Joseph M. Elble, Nikolaos V. Sahinidis, Panagiotis Vouzis

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Tags: CUDA, Differential equations, Fluid dynamics, Linear Algebra, nVidia, Tesla C870

November 22, 2010 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

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high performance computing on graphics processing units: hgpu.org

GPU friendly fast Poisson solver for structured power grid network analysis

GPU based sparse grid technique for solving multidimensional options pricing PDEs

Multi-domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU

Performance analysis of accelerated image registration using GPGPU

GPU Accelerated RNA Folding Algorithm

Scalable and highly parallel implementation of Smith-Waterman on graphics processing unit using CUDA

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Scattering Points in Parallel Coordinates

Performance Analysis of IBM Cell Broadband Engine on Sequence Alignment

Molecular dynamics simulation of complex multiphase flow on a computer cluster with GPUs

Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems

GPU computing with Kaczmarz’s and other iterative algorithms for linear systems

Recent source codes

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

HiRep

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

Gaia AVU-GSR

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

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

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