QoS-Driven Reconfigurable Parallel Computing for NoC-Based Clustered MPSoCs

Reconfigurable parallel computing is required to provide high-performance embedded computing, hide hardware complexity, boost software development, and manage multiple workloads when multiple applications are running simultaneously on the emerging network-on-chip (NoC)-based multiprocessor systems-on-chip (MPSoCs) platforms. In these type of systems, the overall system performance may be affected due to congestion, and therefore parallel programming stacks must be assisted by quality-of-service (QoS) support to meet application requirements and to deal with application dynamism. In this paper, we present a hardware-software QoS-driven reconfigurable parallel computing framework, i.e., the NoC services, the runtime QoS middleware API and our ocMPI library and its tracing support which has been tailored for a distributed-shared memory ARM clustered NoC-based MPSoC platform. The experimental results show the efficiency of our software stack under a broad range of parallel kernels and benchmarks, in terms of low-latency interprocess communication, good application scalability, and most important, they demonstrate the ability to enable runtime reconfiguration to manage workloads in message-passing parallel applications.


Published in:
IEEE Transactions on Industrial Informatics, 9, 3, 1613-1624
Year:
2013
Publisher:
Piscataway, Institute of Electrical and Electronics Engineers
ISSN:
1551-3203
Keywords:
Laboratories:




 Record created 2013-10-01, last modified 2018-03-17

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