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Tensor Contractions with Extended BLAS Kernels on CPU and GPU

Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka

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Tags: Algorithms, BLAS, Computer science, CUDA, FFT, Linear Algebra, nVidia, Tesla K40

June 22, 2016 by hgpu

cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL

Hugh Perkins

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Tags: Algorithms, CNN, Computer science, Deep learning, Machine learning, Neural networks, nVidia, nVidia GRID K520, OpenCL, Package

June 21, 2016 by hgpu

OpenCL-Based Erasure Coding on Heterogeneous Architectures

Guoyang Chen, Huiyang Zhou, Xipeng Shen, Josh Gahm, Narayan Venkat, Skip Booth, John Marshall

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Tags: Algorithms, APU, ATI, Computer science, Error recovery, FPGA, Heterogeneous systems, nVidia, OpenCL, Tesla K40

June 14, 2016 by hgpu

Multi-GPU Implementation of Machine Learning Algorithm using CUDA and OpenCL

Jan Masek, Radim Burget, Lukas Povoda, Malay Kishore Dutta

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Tags: Algorithms, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, nVidia GeForce GTX 690, OpenCL

June 14, 2016 by hgpu

Massively-Parallel Lossless Data Decompression

Evangelia Sitaridi, Rene Mueller, Tim Kaldewey, Guy Lohman, Kenneth Ross

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, Tesla K40

June 7, 2016 by hgpu

Challenges for a GPU-Accelerated Dynamic Programming Approach for Join-Order Optimization

Andreas Meister, Gunter Saake

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Tags: Algorithms, Computer science, Databases

June 2, 2016 by hgpu

Disc: Approximative Nearest Neighbor Search using Ellipsoids for Photon Mapping on GPUs

Marcus Bergholm, Viktor Kronvall

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Tags: Algorithms, Computer science, CUDA, Image generation, Nearest neighbour, nVidia, nVidia GeForce GTX 970, Sorting, Thesis

June 2, 2016 by hgpu

Weighted Residuals for Very Deep Networks

Falong Shen, Gang Zeng

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Tags: Algorithms, Computer science, Computer vision, CUDA, Deep learning, nVidia, nVidia GeForce GTX Titan X

June 2, 2016 by hgpu

clSPARSE: A Vendor-Optimized Open-Source Sparse BLAS Library

Joseph L. Greathouse, Kent Knox, Jakub Pola, Kiran Varaganti, Mayank Daga

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Tags: Algorithms, AMD Radeon R9 Fury X, ATI, Computer science, Linear Algebra, nVidia, nVidia GeForce GTX Titan X, OpenCL, Package, Sparse matrix

May 30, 2016 by hgpu

A GPU Accelerated Continuous and Discontinuous Galerkin Non-hydrostatic Atmospheric Model

Daniel S. Abdi, Lucas C. Wilcox, Timothy Warburton, Francis X. Giraldo

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Tags: Algorithms, CUDA, Earth and Space Sciences, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan Black, OCCA, OpenCL, Tesla K20

May 30, 2016 by hgpu

Faster GPU-based convolutional gridding via thread coarsening

Bruce Merry

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Tags: Algorithms, AMD Radeon R9 290X, Astrophysics, ATI, Computer science, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 980, OpenCL

May 26, 2016 by hgpu

Learning a Metric Embedding for Face Recognition using the Multibatch Method

Oren Tadmor, Yonatan Wexler, Tal Rosenwein, Shai Shalev-Shwartz, Amnon Shashua

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Tags: Algorithms, ARM, Computer science, Deep learning, Neural networks, nVidia, nVidia GeForce GTX Titan X, Performance

May 26, 2016 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

Programming

Tensor Contractions with Extended BLAS Kernels on CPU and GPU

cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL

OpenCL-Based Erasure Coding on Heterogeneous Architectures

Multi-GPU Implementation of Machine Learning Algorithm using CUDA and OpenCL

Massively-Parallel Lossless Data Decompression

Challenges for a GPU-Accelerated Dynamic Programming Approach for Join-Order Optimization

Disc: Approximative Nearest Neighbor Search using Ellipsoids for Photon Mapping on GPUs

Weighted Residuals for Very Deep Networks

clSPARSE: A Vendor-Optimized Open-Source Sparse BLAS Library

A GPU Accelerated Continuous and Discontinuous Galerkin Non-hydrostatic Atmospheric Model

Faster GPU-based convolutional gridding via thread coarsening

Learning a Metric Embedding for Face Recognition using the Multibatch Method

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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