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

MNN: a lightweight deep neural network inference engine

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

SolidTextureNets

On Demand Solid Texture Synthesis Using Deep 3D Networks

md_poly: A Performance-Portable Polyhedral Compiler Based on Multi-Dimensional Homomorphisms

deepnetts: Deep Netts Pure Java Deep Learning Engine

Towards High Performance Java-based Deep Learning Frameworks

PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite

A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs

TACO: The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra

OpenCL-FPGA-LLVM: LLVM-based automation of memory decoupling for OpenCL applications on FPGAs

LLVM-based automation of memory decoupling for OpenCL applications on FPGAs

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high performance computing on graphics processing units: hgpu.org

Classify QCD phase transition with deep learning

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

Recent source codes

MNN: a lightweight deep neural network inference engine

SolidTextureNets

md_poly: A Performance-Portable Polyhedral Compiler Based on Multi-Dimensional Homomorphisms

deepnetts: Deep Netts Pure Java Deep Learning Engine

PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite

TACO: The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

OpenCL-FPGA-LLVM: LLVM-based automation of memory decoupling for OpenCL applications on FPGAs

CUDAnative.jl: Julia support for native CUDA programming

GPU explicit-state model checking

OCLADock: OpenCL Accelerated Molecular Docking

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Featured events

8th International Workshop on OpenCL, including SYCLCon, 2019

7th International Workshop on OpenCL, 2019

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

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

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