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LCTES 2017
Wed 21 - Thu 22 June 2017 Barcelona, Spain
co-located with PLDI 2017

Pipelined heterogeneous multiprocessor system-on-chip (MPSoC) can provide high throughput for streaming applications. In the design of such systems, time performance and system cost are the most concerning issues. By analyzing runtime behaviors of benchmarks in real-world platforms, we find that execution times of tasks are not fixed but spread with probabilities. In terms of this feature, we model execution times of tasks as random variables. In this paper, we study how to design high-performance and low-cost MPSoC systems to execute a set of such tasks with data dependencies in a pipelined fashion. Our objective is to obtain the optimal functional unit assignment and voltage selection for the pipelined MPSoC systems, such that the system cost is minimized while timing constraints can be met with a given guaranteed probability. For each required probability, our proposed algorithm can efficiently obtain the optimal solution. Experiments show that other existing algorithms cannot find feasible solutions in most cases, but ours can. Even for those solutions that other algorithms can obtain, ours can reach 30% reductions in total cost compared with others.

Wed 21 Jun

LCTES-2017-papers
15:30 - 17:10: LCTES 2017 - Session 2: Abstraction, Modelling and Scheduling for IoT and Embedded Systems at Vertex WS208
Chair(s): Bernhard ScholzUniversity of Sydney, Australia
LCTES-2017-papers15:30 - 15:55
Talk
Weiwen JiangChongqing University, Edwin ShaChongqing University, Qingfeng ZhugeChongqing University, China, Hailiang DongChongqing University, Xianzhang ChenChongqing University
LCTES-2017-papers15:55 - 16:20
Talk
Gyeongmin LeePOSTECH, Seonyeong HeoPOSTECH, Bongjun KimPOSTECH, Jong KimPOSTECH, Hanjun KimPOSTECH
LCTES-2017-papers16:20 - 16:45
Talk
Min ZhangEast China Normal University, Yunhui Ying
LCTES-2017-papers16:45 - 17:10
Talk
Wenguang Zheng, Hui WuUniversity of New South Wales, Australia, Chuanyao NieThe University of New South Wales