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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

Evaluating the Performance Portability of Contemporary SYCL Implementations

Evaluating the Performance and Portability of Contemporary SYCL Implementations

BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs

BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs

cuSZ: CUDA-Based Error-Bounded Lossy Compressor for Scientific Data

A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression

Ginkgo: a high-performance linear algebra library for manycore systems

Ginkgo – A Math Library designed for Platform Portability

GPURepair

GPURepair: Automated Repair of GPU Kernels

Dazmir

Adaptive Data Migration in Load-Imbalanced HPC Applications

ACA-project

Runtime Performances Benchmark for Knowledge Graph Embedding Methods

TornadoVM

Transparent Compiler and Runtime Specializations for Accelerating Managed Languages on FPGAs

AMGCL

AMGCL – A C++ library for efficient solution of large sparse linear systems

Tinker-HP: High Performance Multi-GPUs Massively Parallel Evolution of Tinker

Tinker-HP: Accelerating Molecular Dynamics Simulations of Large Complex Systems with Advanced Point Dipole Polarizable Force Fields using GPUs and Multi-GPUs systems

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2020

December

10-14

Virtually in Barcelona, Spain

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

2020

November

24-27

Naha, Okinawa, Japan

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

2021

January

13-15

Shenzhen, China

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

2020

December

14-16

Bangkok, Thailand

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

2020

December

14-16

Bangkok, Thailand

International Conference on Wireless Networks and Embedded Systems (ICWNES’20), 2020

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