high performance computing on graphics processing units: hgpu.org

Tommaso Biagini, Giovanni Chillemi, Gianluigi Mazzoccoli, Alessandro Grottesi, Caterina Fusilli, Daniele Capocefalo, Stefano Castellana, Angelo Luigi Vescovi, Tommaso Mazza

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Tags: Benchmarking, Bioinformatics, Biology, Chemistry, CUDA, Genomics, Molecular dynamics, nVidia, OpenCL, Physics, Tesla C2070

December 19, 2017 by hgpu

HCudaBLAST: an implementation of BLAST on Hadoop and Cuda

Nilay Khare, Alind Khare and Farhan Khan

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Tags: Algorithms, Bioinformatics, Biology, BLAST, CUDA, Hadoop, nVidia, nVidia Quadro 2000, nVidia Quadro 600, Tesla C2075

December 3, 2017 by hgpu

A Hybrid-parallel Architecture for Applications in Bioinformatics

Jan Christian Kassens

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 780 Ti, Thesis

December 3, 2017 by hgpu

High Performance Streaming Smith-Waterman Implementation with Implicit Synchronization on Intel FPGA using OpenCL

Ernst Joachim Houtgast, Vlad-Mihai Sima, Zaid Al-Ars

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Tags: Algorithms, Bioinformatics, Biology, FPGA, OpenCL, Smith-Waterman algorithm

November 26, 2017 by hgpu

Accelerating Genomics Research with OpenCL and FPGAs

Chris Rauer, George S. Powley, Mir Ahsan, Nicholas Finamore

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Tags: Algorithms, Biology, Computer science, FPGA, Genomics, OpenCL

October 15, 2017 by hgpu

Dynamic Parallelism in GPU Optimized Barnes Hut Trees for Molecular Dynamics Simulations

Melisa Carranza Zuniga

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Tags: Algorithms, Biology, Biomolecules, Biophysics, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Physics, Thesis

August 26, 2017 by hgpu

eccCL: parallelized GPU implementation of Ensemble Classifier Chains

Mona Riemenschneider, Alexander Herbst, Ari Rasch, Sergei Gorlatch, Dominik Heider

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Tags: Biology, Computer science, Java, Next-Generation sequencing, nVidia, OpenCL, Package, R, Tesla K20

August 26, 2017 by hgpu

TensorFlow.js: A WebGL accelerated JavaScript library for training and deploying ML models

TensorFlow.js: Machine Learning for the Web and Beyond

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

SHA3-ON-GPU: SHA3 implementation on CPU & GPU

GPU Accelerated Keccak (SHA3) Algorithm

SG++: a numerical library for adaptive Sparse Grids

Heterogeneous Distributed Big Data Clustering on Sparse Grids

ThunderGBM: Fast GBDTs and Random Forests on GPUs

High-performance implementations for counting collisions among objects in 3D space

High Performance Algorithms for Counting Collisions and Pairwise Interactions

BLIS: BLAS-like Library Instantiation Software Framework

Supporting mixed-datatype matrix multiplication within the BLIS framework

OpenDwarfs: a benchmark suite consisting of different computation/communication idioms

Exploring FPGA-specific Optimizations for Irregular OpenCL Applications

Tango: A Deep Neural Network Benchmark Suite for Various Accelerators

MapD Core database

Exact Selectivity Computation for Modern In-Memory Database Query Optimization

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Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

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Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

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high performance computing on graphics processing units: hgpu.org

ASW: Accelerating Smith-Waterman Algorithm on Coupled CPU-GPU Architecture

SWIFOLD: Smith-Waterman implementation on FPGA with OpenCL for long DNA sequences

Interactive GPU active contours for segmenting inhomogeneous objects

Fast and Flexible GPU Accelerated Binding Free Energy Calculations within the AMBER Molecular Dynamics Package

pyPaSWAS: Python-based multi-core CPU and GPU sequence alignment

Molecular dynamics recipes for genome research

HCudaBLAST: an implementation of BLAST on Hadoop and Cuda

A Hybrid-parallel Architecture for Applications in Bioinformatics

High Performance Streaming Smith-Waterman Implementation with Implicit Synchronization on Intel FPGA using OpenCL

Accelerating Genomics Research with OpenCL and FPGAs

Dynamic Parallelism in GPU Optimized Barnes Hut Trees for Molecular Dynamics Simulations

eccCL: parallelized GPU implementation of Ensemble Classifier Chains

Recent source codes

TensorFlow.js: A WebGL accelerated JavaScript library for training and deploying ML models

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

SHA3-ON-GPU: SHA3 implementation on CPU & GPU

SG++: a numerical library for adaptive Sparse Grids

ThunderGBM: Fast GBDTs and Random Forests on GPUs

High-performance implementations for counting collisions among objects in 3D space

BLIS: BLAS-like Library Instantiation Software Framework

OpenDwarfs: a benchmark suite consisting of different computation/communication idioms

Tango: A Deep Neural Network Benchmark Suite for Various Accelerators

MapD Core database

Most viewed papers (last 30 days)

Featured events

7th International Workshop on OpenCL, 2019

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

International Conference on Frontiers of Neural Networks (ICFNN), 2019

International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019