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1	Insightful Performance Analysis of Many-Task Runtimes through Tool-Runtime Integration Chaimov, Nicholas 06 September 2017 (has links) Future supercomputers will require application developers to expose much more parallelism than current applications expose. In order to assist application developers in structuring their applications such that this is possible, new programming models and libraries are emerging, the many-task runtimes, to allow for the expression of orders of magnitude more parallelism than currently existing models. This dissertation describes the challenges that these emerging many-task runtimes will place on performance analysis, and proposes deep integration between runtimes and performance tools as a means of producing correct, insightful, and actionable performance results. I show how tool-runtime integration can be used to aid programmer understanding of performance characteristics and to provide online performance feedback to the runtime for Unified Parallel C (UPC), High Performance ParalleX (HPX), Apache Spark, the Open Community Runtime, and the OpenMP runtime. Apache Spark High performance computing High performance ParalleX Open community runtime Task parallelism Unified Parallel C
2	Designing High Performance and Scalable Unified Communication Runtime (UCR) for HPC and Big Data Middleware Jose, Jithin 30 December 2014 (has links) No description available. Computer Science MPI PGAS Unified Runtime OpenSHMEM Unified Parallel C Memcached HBase InfiniBand Clusters RDMA Runtime Design Hybrid Programming

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Insightful Performance Analysis of Many-Task Runtimes through Tool-Runtime Integration

Designing High Performance and Scalable Unified Communication Runtime (UCR) for HPC and Big Data Middleware