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JIT-Compilation for Interactive Scientific Visualization

J. S. Mueller-Roemer, C. Altenhofen

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Tags: Cloud, Computer science, LLVM, nVidia, nVidia Grid K2, OpenCL, PTX, Visualization, Vulkan

May 7, 2016 by hgpu

An Efficient, Automatic Approach to High Performance Heterogeneous Computing

Gordon Inggs, David B. Thomas, Wayne Luk

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Tags: AMD FirePro W5000, ATI, Computational finance, Computer science, Finance, FPGA, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia Grid K2, nVidia Quadro K4000, OpenCL, Option pricing, Performance

May 20, 2015 by hgpu

Programming Your GPU with OpenMP: A Hands-On Introduction

Evaluating the performance of HPC-style SYCL applications

sycl-bench: SYCL Benchmark Suite

SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing

BlaBla: A Python package for clinical linguistic feature extraction in multiple languages

BlaBla: Linguistic Feature Extraction for Clinical Analysis in Multiple Languages

gocudnn: Go Bindings for cudnn and other cuda pacakges

Deep Learning with GO

Task-Based Parallel Strategies for CFD Application in Heterogeneous CPU/GPU Resources

Task-Based Parallel Strategies for CFD Application in Heterogeneous CPU/GPU Resources

DALI: a library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

Importance of Data Loading Pipeline in Training Deep Neural Networks

AutoParBench: a benchmark framework to evaluate compilers and tools designed to automatically insert OpenMP directives

AutoParBench: A Unified Test Framework for OpenMP-based Parallelizers

DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy

cuda-kat: The CUDA Kernel Author's Toolkit

cuda-kat: The CUDA Kernel Author’s Toolkit

GEVO: GPU Code Optimization using Evolutionary Computation

GEVO: GPU Code Optimization using Evolutionary Computation

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2020

April

27-29

Munich, Germany

8th International Workshop on OpenCL, including SYCLCon, 2019

2019

May

13-15

Boston, USA

7th International Workshop on OpenCL, 2019

2019

May

13

Boston, MA, USA

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

2019

May

14

Larnaca, Cyprus

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

2019

July

26-28

Rome, Italy

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

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