high performance computing on graphics processing units: hgpu.org

Claudio Bonati, Enrico Calore, Simone Coscetti, Massimo D'Elia, Michele Mesiti, Francesco Negro, Sebastiano Fabio Schifano, Giorgio Silvi, Raffaele Tripiccione

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Tags: AMD FirePro W9100, ATI, Computational Physics, Heterogeneous systems, High Energy Physics - Lattice, nVidia, OpenACC, performance portability, Physics, QCD, Tesla K80, Tesla P100

January 4, 2017 by hgpu

Accelerating Lattice QCD Multigrid on GPUs Using Fine-Grained Parallelization

M. A. Clark, Balint Joo, Alexei Strelchenko, Michael Cheng, Arjun Gambhir, Richard Brower

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Tags: Algorithms, Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, Physics, QCD, Tesla K20

December 26, 2016 by hgpu

TensorFlow.js: A WebGL accelerated JavaScript library for training and deploying ML models

TensorFlow.js: Machine Learning for the Web and Beyond

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

SHA3-ON-GPU: SHA3 implementation on CPU & GPU

GPU Accelerated Keccak (SHA3) Algorithm

SG++: a numerical library for adaptive Sparse Grids

Heterogeneous Distributed Big Data Clustering on Sparse Grids

ThunderGBM: Fast GBDTs and Random Forests on GPUs

High-performance implementations for counting collisions among objects in 3D space

High Performance Algorithms for Counting Collisions and Pairwise Interactions

BLIS: BLAS-like Library Instantiation Software Framework

Supporting mixed-datatype matrix multiplication within the BLIS framework

OpenDwarfs: a benchmark suite consisting of different computation/communication idioms

Exploring FPGA-specific Optimizations for Irregular OpenCL Applications

Tango: A Deep Neural Network Benchmark Suite for Various Accelerators

MapD Core database

Exact Selectivity Computation for Modern In-Memory Database Query Optimization

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high performance computing on graphics processing units: hgpu.org

Towards Lattice Quantum Chromodynamics on FPGA devices

AVX-512 extension to OpenQCD 1.6

Practical Implementation of Lattice QCD Simulation on Intel Xeon Phi Knights Landing

MILC Code Performance on High End CPU and GPU Supercomputer Clusters

Lattice QCD on new chips: a community summary

Wilson and Domainwall Kernels on Oakforest-PACS

Mixed Precision Solver Scalable to 16000 MPI Processes for Lattice Quantum Chromodynamics Simulations on the Oakforest-PACS System

Optimization of the Brillouin operator on the KNL architecture

Lattice Quantum Chromodynamics on Intel Xeon Phi based supercomputers

Machines and Algorithms

Design and optimization of a portable LQCD Monte Carlo code using OpenACC

Accelerating Lattice QCD Multigrid on GPUs Using Fine-Grained Parallelization

Recent source codes

TensorFlow.js: A WebGL accelerated JavaScript library for training and deploying ML models

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

SHA3-ON-GPU: SHA3 implementation on CPU & GPU

SG++: a numerical library for adaptive Sparse Grids

ThunderGBM: Fast GBDTs and Random Forests on GPUs

High-performance implementations for counting collisions among objects in 3D space

BLIS: BLAS-like Library Instantiation Software Framework

OpenDwarfs: a benchmark suite consisting of different computation/communication idioms

Tango: A Deep Neural Network Benchmark Suite for Various Accelerators

MapD Core database

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3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

International Conference on Frontiers of Neural Networks (ICFNN), 2019

International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019