high performance computing on graphics processing units: hgpu.org

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Computation of Galois field expressions for quaternary logic functions on GPUs

Dusan B. Gajic

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Tags: Algorithms, ATI, ATI Radeon HD 6750, Computer science, FFT, nVidia, nVidia GeForce GTX 560 Ti, OpenCL

February 15, 2014 by hgpu

Optimizing exact computation of Betweenness Centrality for CUDA

Aakriti Gupta

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Tags: Computer science, CUDA, Networks, nVidia

February 15, 2014 by hgpu

Accelerator Aware MPI Micro-benchmarking using CUDA, OpenACC and OpenCL

Sadaf Alam, Ugo Varetto

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Tags: Benchmarking, Computer science, CUDA, Intel Xeon Phi, MPI, nVidia, OpenACC, OpenCL, Performance, Tesla K20, Tesla M2090

February 15, 2014 by hgpu

Effective Multi-Modal Retrieval based on Stacked Auto-Encoders

Wei Wang, Beng Chin Ooi, Xiaoyan Yang, Dongxiang Zhang, Yueting Zhuang

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Tags: Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX Titan, Package, Python

February 14, 2014 by hgpu

High-Performance Zonal Histogramming on Large-Scale Geospatial Rasters Using GPUs and GPU-Accelerated Clusters

Jianting Zhang, Dali Wang

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Tags: Cluster computing, CUDA, Image processing, nVidia, nVidia GeForce GTX Titan, Visualization

February 14, 2014 by hgpu

High-Performance Spatial Query Processing on Big Taxi Trip Data using GPGPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Hadoop, MapReduce, Nearest neighbour, nVidia, nVidia GeForce GTX Titan

February 14, 2014 by hgpu

Porting FEASTFLOW to the Intel Xeon Phi: Lessons Learned

Ioannis E. Venetis, Georgios Goumas, Markus Geveler, Dirk Ribbrock

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Tags: Computer science, Fluid dynamics, Intel Xeon Phi, OpenCL, OpenMP, Sparse matrix

February 14, 2014 by hgpu

Multi-Kepler GPU vs. Multi-Intel MIC for spin systems simulations

M. Bernaschi, M. Bisson, F. Salvadore

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Tags: Benchmarking, Computer science, CUDA, Intel Xeon Phi, nVidia, Package, Performance, Physics, Spin Systems, Tesla K20

February 14, 2014 by hgpu

Multi-tier Dynamic Vectorization for Translating GPU Optimizations into CPU Performance

Hee-Seok Kim, Izzat El Hajj, John A. Stratton, Wen-Mei W. Hwu

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Tags: AMD, Computer science, nVidia, OpenCL, Performance

February 12, 2014 by hgpu

Increasing precision of uniform pseudorandom number generators

Vadim Demchik, Alexey Gulov

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Tags: Algorithms, Computer science, Extended precision, Mathematical Software, Pseudo-random number generators, Security

February 12, 2014 by hgpu

Designing Bit-Reproducible Portable High-Performance Applications

Andrea Arteaga, Oliver Fuhrer, Torsten Hoefler

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Portability, Tesla K20

February 12, 2014 by hgpu

GROMACS on Hybrid CPU-GPU and CPU-MIC Clusters: Preliminary Porting Experiences, Results and Next Steps

Sadaf Alam, Ugo Varetto

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, Intel Xeon Phi, MPI, nVidia, OpenCL, Tesla K20

February 12, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Computation of Galois field expressions for quaternary logic functions on GPUs

Optimizing exact computation of Betweenness Centrality for CUDA

Accelerator Aware MPI Micro-benchmarking using CUDA, OpenACC and OpenCL

Effective Multi-Modal Retrieval based on Stacked Auto-Encoders

High-Performance Zonal Histogramming on Large-Scale Geospatial Rasters Using GPUs and GPU-Accelerated Clusters

High-Performance Spatial Query Processing on Big Taxi Trip Data using GPGPUs

Porting FEASTFLOW to the Intel Xeon Phi: Lessons Learned

Multi-Kepler GPU vs. Multi-Intel MIC for spin systems simulations

Multi-tier Dynamic Vectorization for Translating GPU Optimizations into CPU Performance

Increasing precision of uniform pseudorandom number generators

Designing Bit-Reproducible Portable High-Performance Applications

GROMACS on Hybrid CPU-GPU and CPU-MIC Clusters: Preliminary Porting Experiences, Results and Next Steps

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

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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