high performance computing on graphics processing units: hgpu.org

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Graphics processing unit implementations of relative expression analysis algorithms enable dramatic computational speedup

Andrew T. Magis, John C. Earls, Youn-Hee H. Ko, James A. Eddy, Nathan D. Price

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Package

July 1, 2011 by hgpu

CAMPAIGN: An open-source Library of GPU-accelerated Data Clustering Algorithms

Kai J. Kohlhoff, Marc H. Sosnick, William T. Hsu, Vijay S. Pande, Russ B. Altman

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Tags: Bioinformatics, Biology, Clustering, CUDA, nVidia, Package

July 1, 2011 by hgpu

Accelerating Smith-Waterman Local Sequence Alignment on GPU Cluster

Thuy T. Nguyen, Duc H. Nguyen, Phong H. Pham, Ngoc M. Ta, Tan N. Duong, Hung D. Le

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Tags: Bioinformatics, Biology, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 295, Sequence alignment, Smith-Waterman algorithm, Tesla C1060

June 27, 2011 by hgpu

Accelerating Smith-Waterman on Heterogeneous CPU-GPU Systems

Jaideep Singh, Ipseeta Aruni

Tags: Bioinformatics, Biology, CUDA, Heterogeneous systems, nVidia, Smith-Waterman algorithm

June 24, 2011 by hgpu

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Jacek Blazewicz, Wojciech Frohmberg, Michal Kierzynka, Erwin Pesch, Pawel Wojciechowski

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Package, Sequence alignment, Tesla S1070

June 21, 2011 by hgpu

Accelerating Genome-Wide Association Studies Using CUDA Compatible Graphics Processing Units

Rui Jiang, Feng Zeng, Wangshu Zhang, Xuebing Wu, Zhihong Yu

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 280

June 15, 2011 by hgpu

The accelerating implementation of BLAST with stream processor

Gang Wei, Chao Ma, Songwen Pei, Baifeng Wu

Tags: ATI, ATI Radeon HD 4850, Bioinformatics, Biology, BLAST, Brook, Sequence alignment

June 15, 2011 by hgpu

The scoring sequences on profile Hidden Markov Models with delete states elimination by GPUs

Jun Li, Yanhui Li, Shuangping Chen

Tags: Bioinformatics, Computer science, nVidia, nVidia GeForce 9800 GTX, Sequence alignment

June 10, 2011 by hgpu

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Min-Seok Kwon, Kyunga Kim, Sungyoung Lee, Taesung Park

Source codes

Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, Package

June 9, 2011 by hgpu

Parallel accelerators for GlimmerHMM bioinformatics algorithm

Nafsika Chrysanthou, Grigorios Chrysos, Euripides Sotiriades, Ioannis Papaefstathiou

Tags: Algorithms, Bioinformatics, Biology, FPGA, Genetics

June 8, 2011 by hgpu

Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs

K. Dohi, K. Benkridt, C. Ling, T. Hamada, Y. Shibata

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

May 31, 2011 by hgpu

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

Alhadi Bustamam, Kevin Burrage, Nicholas A. Hamilton

Tags: Bioinformatics, Biology, CUDA, MPI, nVidia, Sparse matrix

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

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high performance computing on graphics processing units: hgpu.org

Graphics processing unit implementations of relative expression analysis algorithms enable dramatic computational speedup

CAMPAIGN: An open-source Library of GPU-accelerated Data Clustering Algorithms

Accelerating Smith-Waterman Local Sequence Alignment on GPU Cluster

Accelerating Smith-Waterman on Heterogeneous CPU-GPU Systems

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Accelerating Genome-Wide Association Studies Using CUDA Compatible Graphics Processing Units

The accelerating implementation of BLAST with stream processor

The scoring sequences on profile Hidden Markov Models with delete states elimination by GPUs

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Parallel accelerators for GlimmerHMM bioinformatics algorithm

Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

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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