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Assessment of various GPU acceleration strategies in text categorization processing flow

Lukasz Kordula, Maciej Wielgosz, Michal Karwatowski, Marcin Pietron, Dominik Zurek, Kazimierz Wiatr

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Tags: AMD Radeon R9 280, ATI, Computer science, NLP, nVidia, nVidia Quadro NVS 4200 M, OpenCL

June 13, 2018 by hgpu

On the Efficiency of CPU and Hybrid CPU-GPU Systems in Computational Biology Tasks

Nikolay Pydiura, Pavel Karpov, Yaroslav Blume

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Tags: AMD Radeon R9 280, ATI, Biology, Computational biology, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, OpenCL

October 25, 2014 by hgpu

Searching for a counterexample of Kurepa’s Conjecture

Vladica Andrejic, Milos Tatarevic

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Tags: AMD Radeon R9 280, ATI, Mathematics, Number Theory, OpenCL

September 3, 2014 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Assessment of various GPU acceleration strategies in text categorization processing flow

On the Efficiency of CPU and Hybrid CPU-GPU Systems in Computational Biology Tasks

Searching for a counterexample of Kurepa’s Conjecture

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Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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