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Efficient all-against-all protein similarity matrix computation using OpenCL

U. Köhler, A. Smirnov

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Tags: AMD Radeon HD 580, Bioinformatics, nVidia, OpenCL, Sequence alignment, Smith-Waterman algorithm

June 9, 2014 by hgpu

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high performance computing on graphics processing units: hgpu.org

Efficient all-against-all protein similarity matrix computation using OpenCL

Recent source codes

PAstudy

hpx: The C++ Standard Library for Parallelism and Concurrency

OpenDwarfs: a benchmark suite consisting of different computation/communication idioms, i.e., dwarfs, for state-of-art multicore CPUs, GPUs, Intel MICs and Altera FPGAs

Rodinia Benchmark Suite ported for OpenCL-capable Intel FPGAs

The Ocean Tensor Package

Tornado

pocl: Portable Computing Language

TVM: Open deep learning compiler stack for cpu, gpu and specialized accelerators

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International Conference on Image, Video and Signal Processing (IVSP), 2019

International Joint Conference on Signals, Systems and Computers (CSSC), 2018

International Joint Conference on Robotics, Automation and Mechatronics (JCRAM), 2018

International Joint Conference on Robotics and Artificial Intelligence (JCRAI), 2018

International Joint Conference on Computer Vision and Pattern Recognition (CCVPR), 2018