Joven, JaumeBagdia, AkashAngiolini, FedericoStrid, PerCastells-Rufas, DavidFernandez-Alonso, EduardCarrabina, JordiDe Micheli, Giovanni2013-10-012013-10-012013-10-01201310.1109/Tii.2012.2222035https://infoscience.epfl.ch/handle/20.500.14299/95651WOS:000323569900042Reconfigurable 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.Networks-on-chip (NoCs)NoC-based multiprocessor systems-on-chip (MPSoC)parallel computingquality of service (QoS)runtime reconfigurationtext::journal::journal article::research article