high performance computing on graphics processing units: hgpu.org

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A Hybrid Computational Grid Architecture for Comparative Genomics

A. Singh, Chen Chen, Weiguo Liu, W. Mitchell, B. Schmidt

Tags: Bioinformatics, Biology, Genetics, Sequence alignment

April 6, 2011 by hgpu

The optimization of parallel Smith-Waterman sequence alignment using on-chip memory of GPGPU

Qian Zhang, Hong An, Gu Liu, Wenting Han, Ping Yao, Mu Xu, Xiaoqiang Li

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

April 4, 2011 by hgpu

Optimizing Smith-Waterman algorithm on Graphics Processing Unit

A. Khalafallah, H.F. Elbabb, O. Mahmoud, A. Elshamy

Tags: Bioinformatics, Biology, OpenCL, Sequence alignment, Smith-Waterman algorithm

April 1, 2011 by hgpu

Implementation of Smith-Waterman Algorithm in OpenCL for GPUs

Dzmitry Razmyslovich, Guillermo Marcus, Markus Gipp, Marc Zapatka, Andreas Szillus

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, OpenCL, Poster, Sequence alignment, Smith-Waterman algorithm

March 31, 2011 by hgpu

CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

Ping Yao, Hong An, Mu Xu, Gu Liu, Xiaoqiang Li, Yaobin Wang, Wenting Han

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Pattern Search

March 29, 2011 by hgpu

A GPU Implementation of Fast Parallel Markov Clustering in Bioinformatics Using EllPACK-R Sparse Data Format

A. Bustamam, K. Burrage, N.A. Hamilton

Tags: Bioinformatics, Biology, CUDA, nVidia

March 25, 2011 by hgpu

MrBayes on a Graphics Processing Unit

Jianfu Zhou, Xiaoguang Liu, Douglas S. Stones, Qiang Xie, Gang Wang

Source codes

Tags: Bayesian, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 480, Package

March 18, 2011 by hgpu

GBOOST : A GPU-based tool for detecting gene-gene interactions in genome-wide case control studies

Ling Sing S. Yung, Can Yang, Xiang Wan, Weichuan Yu

Source codes

Tags: Bioinformatics, Biology, Genetics, nVidia, nVidia GeForce GTX 285, Package

March 12, 2011 by hgpu

GPU-RMAP: Accelerating Short-Read Mapping on Graphics Processors

Ashwin M. Aji, Liqing Zhang, Wu C. Feng

Tags: Bioinformatics, Biology, Next-Generation sequencing, nVidia

March 9, 2011 by hgpu

A tile-based parallel Viterbi algorithm for biological sequence alignment on GPU with CUDA

Zhihui Du, Zhaoming Yin, David A. Bader

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 9800 GTX, Sequence alignment

March 7, 2011 by hgpu

Efficient parallel algorithms for maximum-density segment problem

Xue Wang, Fasheng Qiu, S.K. Prasad, Guantao Chen

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, Presentation, Sequence alignment

March 7, 2011 by hgpu

STOCHSIMGPU: Parallel stochastic simulation for the Systems Biology Toolbox 2 for MATLAB

Guido Klingbeil, Radek Erban, Mike Giles, Philip K. Maini

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800, Package, Stochastic simulation

February 28, 2011 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

A Hybrid Computational Grid Architecture for Comparative Genomics

The optimization of parallel Smith-Waterman sequence alignment using on-chip memory of GPGPU

Optimizing Smith-Waterman algorithm on Graphics Processing Unit

Implementation of Smith-Waterman Algorithm in OpenCL for GPUs

CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

A GPU Implementation of Fast Parallel Markov Clustering in Bioinformatics Using EllPACK-R Sparse Data Format

MrBayes on a Graphics Processing Unit

GBOOST : A GPU-based tool for detecting gene-gene interactions in genome-wide case control studies

GPU-RMAP: Accelerating Short-Read Mapping on Graphics Processors

A tile-based parallel Viterbi algorithm for biological sequence alignment on GPU with CUDA

Efficient parallel algorithms for maximum-density segment problem

STOCHSIMGPU: Parallel stochastic simulation for the Systems Biology Toolbox 2 for MATLAB

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

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