high performance computing on graphics processing units: hgpu.org

Tommaso Biagini, Giovanni Chillemi, Gianluigi Mazzoccoli, Alessandro Grottesi, Caterina Fusilli, Daniele Capocefalo, Stefano Castellana, Angelo Luigi Vescovi, Tommaso Mazza

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Tags: Benchmarking, Bioinformatics, Biology, Chemistry, CUDA, Genomics, Molecular dynamics, nVidia, OpenCL, Physics, Tesla C2070

December 19, 2017 by hgpu

Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

Shaohuai Shi, Xiaowen Chu

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Tags: Algorithms, Benchmarking, Caffe, Computer science, CUDA, Deep learning, MPI, Neural networks, nVidia, Package, Performance, TensorFlow, Tesla P40, Torch

November 26, 2017 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

Automatic generation of CUDA code performing tensor manipulations using C++ expression templates

Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking

TBD: Benchmarking and Analyzing Deep Neural Network Training

Multithreaded Dense Linear Algebra on Asymmetric Multi-core Processors

Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach

Communication Architectures for Scalable GPU-centric Computing Systems

Evaluation of Machine Learning Fameworks on Finis Terrae II

Rubus: A compiler for seamless and extensible parallelism

Scaling GRPC Tensorflow on 512 nodes of Cori Supercomputer

An In-depth Performance Characterization of CPU- and GPU-based DNN Training on Modern Architectures

Molecular dynamics recipes for genome research

Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2