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Using Parallel Programming Models for Automotive Workloads on Heterogeneous Systems – a Case Study

Lukas Sommer, Florian Stock, Leonardo Solis-Vasquez, Andreas Koch

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Tags: Automotive, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Jetson AGX Xavier, nVidia Jetson TX2, OpenCL, OpenMP

January 26, 2020 by hgpu

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9th International Workshop on OpenCL and SYCL, 2021

2020

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The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

2020

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24-27

Naha, Okinawa, Japan

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2021

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Shenzhen, China

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

2020

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14-16

Bangkok, Thailand

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

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high performance computing on graphics processing units: hgpu.org

Using Parallel Programming Models for Automotive Workloads on Heterogeneous Systems – a Case Study

Recent source codes

DLIO Benchmark

kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos

cuSZ: CUDA-Based Error-Bounded Lossy Compressor for Scientific Data

TornadoVM

Floyd-Warshall function of this implementation for Intel Xeon Phi Knights Landing

NPBench: A Benchmarking Suite for High-Performance NumPy

PeriPy - A High Performance OpenCL Peridynamics Package

PoCL: Portable Computing Language

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Featured events

9th International Workshop on OpenCL and SYCL, 2021

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020