high performance computing on graphics processing units: hgpu.org

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Analysis of a Computational Biology Simulation Technique on Emerging Processing Architectures

Jeremy S. Meredith, Sadaf R. Alam, Jeffrey S. Vetter

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Tags: Biology, Cell processor, Cg, Computational biology, Molecular dynamics, nVidia, nVidia GeForce 7900 GTX

January 2, 2011 by hgpu

Population Parallel GP on the G80 GPU

Denis Robilliard, Virginie Marion-Poty, Cyril Fonlupt

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

December 29, 2010 by hgpu

A SIMD Interpreter for Genetic Programming on GPU Graphics Cards

William B. Langdon, Wolfgang Banzhaf

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Tags: Bioinformatics, Biology, DirectX, Genetics, nVidia, nVidia GeForce 8800 GTX, OpenGL

December 29, 2010 by hgpu

Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU

Yuma Munekawa, Fumihiko Ino, Kenichi Hagihara

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Smith-Waterman algorithm

December 22, 2010 by hgpu

Long time-scale simulations of in vivo diffusion using GPU hardware

Elijah Roberts, John E. Stone, Leonardo Sepulveda, Wen-Mei W. Hwu, Zaida Luthey-Schulten

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Tags: Bioinformatics, Biology, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5600

December 18, 2010 by hgpu

A New Parallel Method of Smith-Waterman Algorithm on a Heterogeneous Platform

Bo Chen, Yun Xu, Jiaoyun Yang, Haitao Jiang

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Tags: Biology, CUDA, nVidia, nVidia GeForce 9800 GT, Sequence alignment, Smith-Waterman algorithm

December 17, 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

Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms

Scott Christley, Briana Lee, Xing Dai, Qing Nie

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Tags: Biology, CUDA, nVidia, nVidia GeForce GTX 285

December 15, 2010 by hgpu

Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets

Won-ki Jeong, Johanna Beyer, Student Member, Markus Hadwiger, Amelio Vazquez, Student Member, Hanspeter Pfister, Senior Member, Ross T. Whitaker

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Tags: Biology, Electron microscopy, Neuroscience, nVidia, nVidia Quadro FX 5800, Rendering, Tesla C1060

December 15, 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

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

Nicholas A. Davis, Ahwan Pandey, B. A. McKinney

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Tags: Bioinformatics, Biology, CUDA, Genetics, Medicine, nVidia, Package, Tesla M1060

December 13, 2010 by hgpu

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Adam Szalkowski, Christian Ledergerber, Philipp Kraehenbuehl, Christophe Dessimoz

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Tags: Biology, Cell processor, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Package, Sequence alignment, Smith-Waterman algorithm

December 12, 2010 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Applications

Analysis of a Computational Biology Simulation Technique on Emerging Processing Architectures

Population Parallel GP on the G80 GPU

A SIMD Interpreter for Genetic Programming on GPU Graphics Cards

Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU

Long time-scale simulations of in vivo diffusion using GPU hardware

A New Parallel Method of Smith-Waterman Algorithm on a Heterogeneous Platform

GPU Accelerated RNA Folding Algorithm

Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms

Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets

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

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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