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Performance Analysis of Sparse Matrix-Vector Multiplication (SpMV) on Graphics Processing Units (GPUs)

Sarah AlAhmadi, Thaha Mohammed, Aiiad Albeshri, Iyad Katib, Rashid Mehmood

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Tags: Computer science, Heterogeneous systems, HPC, Sparse matrix

October 18, 2020 by hgpu

On the performance of a highly-scalable Computational Fluid Dynamics code on AMD, ARM and Intel processors

Pablo Ouro, Unai Lopez-Novoa, Martyn Guest

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Tags: ARM, cfd, Fluid dynamics, HPC, Performance

October 18, 2020 by hgpu

A Tensor Compiler for Unified Machine Learning Prediction Serving

Supun Nakandala Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi

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Tags: Computer science, CUDA, Machine learning, nVidia, Package, Tesla K80, Tesla P100

October 18, 2020 by hgpu

Deep Learning for Digital Asset Limit Order Books

Rakshit Jha, Mattijs De Paepe, Samuel Holt, James West, Shaun Ng

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Tags: Deep learning, Finance, Package, Python

October 11, 2020 by hgpu

Bempp-cl: A fast Python based just-in-time compiling boundary element library

Timo Betcke, Matthew W. Scroggs

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Tags: Computer science, Differential equations, Integral equations, OpenCL, Package, Partial differential equations, PDEs, Python

October 11, 2020 by hgpu

Mastering Atari with Discrete World Models

Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi, Jimmy Ba

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Tags: Artificial intelligence, Computer science, Deep learning, Machine learning, nVidia, Package, Python, TensorFlow, Tesla V100

October 11, 2020 by hgpu

It’s all about data movement: Optimising FPGA data access to boost performance

Nick Brown, David Dolman

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Tags: Computer science, FPGA, HLS, Performance

October 11, 2020 by hgpu

Efficient Inference For Neural Machine Translation

Yi-Te Hsu, Sarthak Garg, Yi-Hsiu Liao, Ilya Chatsviorkin

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Tags: Computer science, NLP, nVidia, Tesla V100

October 11, 2020 by hgpu

Transparent Acceleration of Java-based Deep Learning Engines

Athanasios Stratikopoulos, Mihai-Cristian Olteanu, Ian Vaughan, Zoran Sevarac, Nikos Foutris, Juan Fumero, Christos Kotselidis

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Tags: AMD RX Vega 64, ATI, Computer science, Computer vision, Deep learning, Java, nVidia, nVidia GeForce GTX 1050 Ti, OpenCL, Package

October 4, 2020 by hgpu

An OpenCL 3D FFT for Molecular Dynamics Simulations on Multiple FPGAs

Lawrence C. Stewart, Carlo Pasoe, Brian W. Sherman, Martin Herbordt, Vipin Sachdeva

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Tags: Computer science, Electrostatics, FFT, FPGA, Molecular dynamics, OpenCL

October 4, 2020 by hgpu

LoopBench: An Evaluation of Loop Acceleration in Heterogeneous Systems

Saman Biookaghazadeh, Fengbo Ren, Ming Zhao

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Tags: Benchmarking, Computer science, CUDA, FPGA, Heterogeneous systems, OpenCL, Package

October 4, 2020 by hgpu

Flexible Performant GEMM Kernels on GPUs

Thomas Faingnaert, Tim Besard, Bjorn De Sutter

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Tags: Computer science, CUBLAS, CUDA, Julia, Machine learning, Mathematical Software, Matrix multiplication, Mixed precision, nVidia, nVidia GeForce RTX 2080 Ti, Package, Performance

October 4, 2020 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

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

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

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

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high performance computing on graphics processing units: hgpu.org

Applications

Performance Analysis of Sparse Matrix-Vector Multiplication (SpMV) on Graphics Processing Units (GPUs)

On the performance of a highly-scalable Computational Fluid Dynamics code on AMD, ARM and Intel processors

A Tensor Compiler for Unified Machine Learning Prediction Serving

Deep Learning for Digital Asset Limit Order Books

Bempp-cl: A fast Python based just-in-time compiling boundary element library

Mastering Atari with Discrete World Models

It’s all about data movement: Optimising FPGA data access to boost performance

Efficient Inference For Neural Machine Translation

Transparent Acceleration of Java-based Deep Learning Engines

An OpenCL 3D FFT for Molecular Dynamics Simulations on Multiple FPGAs

LoopBench: An Evaluation of Loop Acceleration in Heterogeneous Systems

Flexible Performant GEMM Kernels on GPUs

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

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

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

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