Experiments for Predictable Execution of GPU Kernels

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00333028" target="_blank" >RIV/68407700:21230/19:00333028 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21730/19:00333028

Result on the web

<a href="http://hdl.handle.net/10467/86755" target="_blank" >http://hdl.handle.net/10467/86755</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Experiments for Predictable Execution of GPU Kernels

Original language description

Multi-Processor Systems-on-Chip (MPSoC) platforms will definitely power various future autonomous machines. Due to the high complexity of such platforms, it is difficult to achieve timing predictability, reliability and efficient resource utilization at the same time. We believe that time-triggered scheduling in combination with PRedictable Execution Model (PREM) can provide strong safety guarantees, and our longerterm goal is to schedule execution on the whole MPSoC (CPUs and GPU) in time triggered manner. To extend PREM to GPUs, we compare two synchronization mechanisms available on the NVIDIA Tegra X2 platform: one based on pinned memory and another that uses a GPU timer (socalled globaltimer). We found that running the NVIDIA profiler (nvprof) reconfigures the resolution of the globaltimer from 1 µs to 160 ns. By using time-triggered scheduling with such a resolution,itwaspossibletoreduceexecutiontimejitterofatiled 2D convolution kernel from 6.47% to 0.15% while maintaining the same average execution time.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů