high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Biology

Accelerating global sequence alignment using CUDA compatible multi-core GPU

T.R.P. Siriwardena, D.N. Ranasinghe

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment

April 10, 2011 by hgpu

A Parallel Gibbs Sampling Algorithm for Motif Finding on GPU

Linbin Yu, Yun Xu

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence matching

April 9, 2011 by hgpu

On accelerating iterative algorithms with CUDA: A case study on Conditional Random Fields training algorithm for biological sequence alignment

Zhihui Du, Zhaoming Yin, Wenjie Liu, D. Bader

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment

April 8, 2011 by hgpu

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

Enabling Energy-Efficient Analysis of Massive Neural Signals Using GPGPU

Dan Chen, Lizhe Wang, Shuaiting Wang, Muzhou Xiong, Gregor von Laszewski, Xiaoli Li

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Tags: Biology, CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 295, Signal processing

April 5, 2011 by hgpu

GPGPU-Aided Ensemble Empirical-Mode Decomposition for EEG Analysis During Anesthesia

Dan Chen, Duan Li, Muzhou Xiong, Hong Bao, Xiaoli Li

Tags: Biology, Medicine, Signal processing

April 5, 2011 by hgpu

Neuromorphic models on a GPGPU cluster

Bing Han, T.M. Taha

Tags: Biology, GPU cluster, MPI, Neuroscience, nVidia, Tesla S1070

April 5, 2011 by hgpu

GPGPU implementation of a synaptically optimized, anatomically accurate spiking network simulator

Ruggero Scorcioni

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Tags: Biology, CUDA, Neuroscience, nVidia

April 4, 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

Poster: GPU-accelerated rigid body fitting of atomic structures into electron density maps

Edward W. Lowe Jr., Nils Woetzel, Jens Meiler

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Source codes

Tags: ATI, ATI Radeon HD 5970, Biology, Cryo-EM, Molecular modeling, nVidia, nVidia GeForce GTX 470, OpenCL, Package, Poster, Tesla C1060, Tesla C2050

April 1, 2011 by hgpu

Poster: GPU-accelerated artificial neural network for QSAR modeling

Edward W. Lowe Jr., Nils Woetzel, Jens Meiler

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Tags: ATI, ATI Radeon HD 5970, Biology, Neural networks, nVidia, nVidia GeForce GTX 470, OpenCL, Poster, Tesla C1060, Tesla C2050

April 1, 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

Face.evoLVe: High-Performance Face Recognition Library based on PyTorch & PaddlePaddle

Face.evoLVe: A High-Performance Face Recognition Library

OpenCLDecompiler

A method for decompilation of AMD GCN kernels to OpenCL

PULP: a (Parallel Ultra-Low-Power) open-source multi-core computing platform

DNN is not all you need: Parallelizing Non-Neural ML Algorithms on Ultra-Low-Power IoT Processors

StreamBlocks: A compiler for heterogeneous dataflow computing

APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores

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The Fifth International Workshop on GPU Computing and AI (GCA), 2020

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Bangkok, Thailand

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

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high performance computing on graphics processing units: hgpu.org

Applications

Accelerating global sequence alignment using CUDA compatible multi-core GPU

A Parallel Gibbs Sampling Algorithm for Motif Finding on GPU

On accelerating iterative algorithms with CUDA: A case study on Conditional Random Fields training algorithm for biological sequence alignment

A Hybrid Computational Grid Architecture for Comparative Genomics

Enabling Energy-Efficient Analysis of Massive Neural Signals Using GPGPU

GPGPU-Aided Ensemble Empirical-Mode Decomposition for EEG Analysis During Anesthesia

Neuromorphic models on a GPGPU cluster

GPGPU implementation of a synaptically optimized, anatomically accurate spiking network simulator

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

Poster: GPU-accelerated rigid body fitting of atomic structures into electron density maps

Poster: GPU-accelerated artificial neural network for QSAR modeling

Optimizing Smith-Waterman algorithm on Graphics Processing Unit

Recent source codes

Face.evoLVe: High-Performance Face Recognition Library based on PyTorch & PaddlePaddle

OpenCLDecompiler

PULP: a (Parallel Ultra-Low-Power) open-source multi-core computing platform

StreamBlocks: A compiler for heterogeneous dataflow computing

Bempp-cl: a boundary element method library

futhark-stencil-benchmarks

POCL: Portable Computing Language

K-FAC: PyTorch Distributed K-FAC Preconditioner

pystencils

APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores

Most viewed papers (last 30 days)

Featured events

9th International Workshop on OpenCL and SYCL, 2021

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020