Titlebook: OpenSHMEM and Related Technologies. Experiences, Implementations, and Technologies; Second Workshop, Ope Manjunath Gorentla Venkata,Pavel S

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Exploring OpenSHMEM Model to Program GPU-based Extreme-Scale Systemsese systems are typically programmed using MPI and CUDA (for NVIDIA based GPUs). However, there are many drawbacks to the MPI+CUDA approach. The orchestration required between the compute and communication phases of the application execution, and the constraint that communication can only be initiat

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TOXIC

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A Case for Non-blocking Collectives in OpenSHMEM: Design, Implementation, and Performance EvaluationPartitioned Global Address Space (PGAS) programming model has gained a lot of attention over the last couple of years. The main advantage of PGAS model is the ease of programming provided by the abstraction of a single memory across nodes of a cluster. OpenSHMEM implementations currently implement t

Grating

An Evaluation of OpenSHMEM Interfaces for the Variable-Length Alltoallv() Collective Operationhis means that . requires not only . communications, but typically also additional exchanges of the data lengths that will be transmitted in the eventual . call. This pre-exchange is used to calculate the proper offsets for the receiving buffers on the target processes. However, we propose two new c

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Lipoprotein(A)

From MPI to OpenSHMEM: Porting LAMMPSamming challenges stemming from the differences in communication semantics, address space organization, and synchronization operations between the two programming models. This work provides several approaches to solve those challenges for representative communication patterns in LAMMPS, e.g., by con

学术讨论会

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Graph 500 in OpenSHMEMerforms a breadth-first search in parallel on a large randomly generated undirected graph and can be implemented using basic MPI-1 and MPI-2 one-sided communication. Graph 500 requires atomic bit-wise operations on unsigned long integers but neither atomic bit-wise operations nor OpenSHMEM for unsig

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