Experiments for Predictable Execution of GPU Kernels
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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.
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Except where otherwise noted, this item's license is described as Creative Commons Attribution (CC BY) 4.0