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Contents of README:PaRSEC is a generic framework for architecture aware scheduling and management of micro-tasks on distributed many-core heterogeneous architectures. Applications are expressed as a Direct Acyclic Graph of tasks with labeled edges designating data dependencies. PaRSEC assigns computation threads to the cores, overlaps communications and computations between nodes as well as between host and accelerators (like GPUs). It achieves these features by using a dynamic, fully-distributed scheduler based on architectural features such as NUMA nodes and GPU awareness, as well as algorithmic features such as data reuse. Requires an MPI implementation either MPICH2 or OpenMPI. Optional requirements: - hwloc (autodetect) - PAPI (autodetect) - NVidia CUDA (autodetect) |
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Parent Directory - README 01-Oct-2022 04:07 779 parsec.SlackBuild 05-Nov-2022 15:20 3.4K parsec.info 05-Nov-2022 15:20 342 slack-desc 01-Oct-2022 04:07 908
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