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Parallel Multi Channel Convolution using General Matrix Multiplication

Aravind Vasudevan, Andrew Anderson, David Gregg

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Tags: Algorithms, ARM, Computer science, CUDA, Deep learning, Machine learning, Matrix multiplication, Neural networks, nVidia, nVidia Tegra TX1, Performance

April 17, 2017 by hgpu

CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data

Lukas Cavigelli, Philippe Degen, Luca Benini

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Tags: Artificial intelligence, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan X, nVidia Tegra TX1

April 17, 2017 by hgpu

Portable, high-performance containers for HPC

Lucas Benedicic, Felipe A. Cruz, Alberto Madonna, Kean Mariotti

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Tags: Computer science, CUDA, nVidia, nVidia Quadro K 110 M, OpenCL, performance portability, Tesla K40, Tesla K80, Tesla P100, Virtualization

April 15, 2017 by hgpu

Faster across the PCIe bus: A GPU library for lightweight decompression

Eyal Rozenberg, Peter Boncz

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan X, Package

April 15, 2017 by hgpu

Unfolding and Shrinking Neural Machine Translation Ensembles

Felix Stahlberg, Bill Byrne

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Tags: Computer science, Deep learning, Neural networks, NLP, nVidia, nVidia GeForce GTX Titan X, Package

April 15, 2017 by hgpu

A Domain Specific Language for Performance Portable Molecular Dynamics Algorithms

William R. Saunders, James Grant, Eike H. Muller

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Tags: Algorithms, Biology, Chemistry, Code generation, Computer science, CUDA, Differential equations, DSL, Molecular dynamics, nVidia, Package, Partial differential equations, PDEs, Physics, Python, Tesla K20

April 15, 2017 by hgpu

Parallelized Kendall’s Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors

Yongchao Liu, Tony Pan, Oded Green, Srinivas Aluru

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Tags: Algorithms, Computer science, Distributed computing, Intel Xeon Phi, MPI, Package, Sorting

April 15, 2017 by hgpu

Machine Learning from Streaming Data in Heterogeneous Computing Environments

Yusuf Guven Toprakkiran

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Tags: Algorithms, AMD Radeon R9 Fury, ATI, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 980, OpenCL, Thesis

April 11, 2017 by hgpu

Performance and energy optimization of the iterative solution of sparse linear systems on multicore processors

Maria Barreda Vaya

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, Intel Xeon Phi, Linear Algebra, MPI, nVidia, OmpSs, Tesla C2050, Thesis

April 11, 2017 by hgpu

A modular GPU raytracer using OpenCL for non-interactive graphics

Henrique Nunes Jung, Vinicius Jurinic Cassol

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 970, OpenCL, Package, Raytracing, Rendering

April 11, 2017 by hgpu

Vectorization of Hybrid Breadth First Search on the Intel Xeon Phi

Mireya Paredes, Graham Riley, Mikel Lujan

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Tags: Algorithms, Computer science, Intel Xeon Phi, OpenMP, Parallelization

April 11, 2017 by hgpu

Design Exploration of AES Accelerators on FPGAs and GPUs

Vincenzo Conti, Salvatore Vitabile

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Tags: AES, Computer science, FPGA, nVidia, nVidia GeForce GT 520, nVidia GeForce GT 555 M, OpenCL, Security

April 7, 2017 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

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high performance computing on graphics processing units: hgpu.org

Parallel Multi Channel Convolution using General Matrix Multiplication

CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data

Portable, high-performance containers for HPC

Faster across the PCIe bus: A GPU library for lightweight decompression

Unfolding and Shrinking Neural Machine Translation Ensembles

A Domain Specific Language for Performance Portable Molecular Dynamics Algorithms

Parallelized Kendall’s Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors

Machine Learning from Streaming Data in Heterogeneous Computing Environments

Performance and energy optimization of the iterative solution of sparse linear systems on multicore processors

A modular GPU raytracer using OpenCL for non-interactive graphics

Vectorization of Hybrid Breadth First Search on the Intel Xeon Phi

Design Exploration of AES Accelerators on FPGAs and GPUs

Recent source codes

tdg-benchs: benchmarks used to test the performance of taskgraph

SW#SYCL

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

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