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Vectorized Higher Order Finite Difference Kernels

Gerhard Zumbusch

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Tags: Algorithms, ATI, ATI Radeon HD 6990, ATI Radeon HD 7970, Computer science, Finite difference, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, OpenCL, Performance, Tesla C2050, Tesla K20

December 10, 2012 by hgpu

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A Container-Based Workflow for Distributed Training of Deep Learning Algorithms in HPC Clusters

A Container-Based Workflow for Distributed Training of Deep Learning Algorithms in HPC Clusters

ARMCL-PipeALL: an integrated high-throughput CPU-GPU CNN inference pipeline design for ARM-based Heterogeneous MPSoCs

CPU-GPU Layer-Switched Low Latency CNN Inference

EngineCL for Stratix10 MX

FPGA Accelerators on Heterogeneous Systems: An Approach Using High Level Synthesis

Theseus: A Library for Differentiable Nonlinear Optimization

Theseus: A Library for Differentiable Nonlinear Optimization

OmpCluster

The OpenMP Cluster Programming Model

PipeCNN: An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

Design and Implementation of CNN-FPGA accelerator based on Open Computing Language

hls4ml: Machine learning on FPGAs using HLS

Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml

MocCUDA: Prototype to run Pytorch/CUDA on Fugaku

High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs

Rodinia Benchmarks for DPC++

Evaluation of Intel’s DPC++ Compatibility Tool in heterogeneous computing

DCA++: a state of the art implementation of the dynamical cluster approximation

Optimizing the Performance of Parallel and Concurrent Applications Based on Asynchronous Many-Task Runtimes

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