Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading

Document Type

Conference Proceeding

Publication Date

4-1-2020

Abstract

Challenging scheduling problems arise in the implementation of cyber-physical systems upon heterogeneous platforms with (serial) data offloading and (parallel) computation. In this paper, we adapt techniques from scheduling theory to model, analyze, and derive scheduling algorithms for real-time workloads on such platforms. We characterize the performance of the proposed algorithms, both analytically via the approximation ratio metric and experimentally through simulation experiments upon synthetic workloads that are justified via a case study on a CPU-GPU platform. The evaluation exposes some divergence between the analytical characterization and experimental one; recommendations that seek to balance such divergent characterizations are made regarding the choice of algorithmic approaches.

Identifier

85086758846 (Scopus)

ISBN

[9781728154992]

Publication Title

Proceedings of the IEEE Real Time and Embedded Technology and Applications Symposium Rtas

External Full Text Location

https://doi.org/10.1109/RTAS48715.2020.00-17

ISSN

15453421

First Page

56

Last Page

69

Volume

2020-April

Grant

61972076

Fund Ref

National Science Foundation

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