Algorithms of collective operations for distributed arrays in partitioned global address space

Paznikov, Alexey A.; Kurnosov, Mikhail G.; Kupriyanov, M. S.

doi:10.1109/ctsys.2017.8109473

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…PGAS languages, including Cray Chapel, IBM X10, and Unified Parallel C, belong to the category of modern programming languages that enable developers to create parallel applications without the need for explicit management of inter-process communication [10][11][12]. Unlike MPI programs, PGAS programs do not involve direct calls to communication functions.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing MPI remote memory access model for distributed-memory systems through one-sided broadcast implementation

Abuelsoud,

Kogutenko,

Naveen

2024

J. Phys.: Conf. Ser.

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Efficiently processing vast and expanding data volumes is a pressing challenge. Traditional high-performance computers, utilizing distributed-memory architecture and a message-passing model, grapple with synchronization issues, hampering their ability to keep up with the growing demands. Remote Memory Access (RMA), often referred to as one-sided MPI communications, offers a solution by allowing a process to directly access another process’s memory, eliminating the need for message exchange and significantly boosting performance. Unfortunately, the existing MPI RMA standard lacks a collective operation interface, limiting efficiency. To overcome this constraint, we introduce an algorithm design that enables efficient parallelizable collective operations within the RMA framework. Our study focuses primarily on the advantages of collective operations, using the broadcast algorithm as a case study. Our implementations surpass traditional methods, highlighting the promising potential of this technique, as indicated by initial performance tests.

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Section: Introductionmentioning

confidence: 99%

“…Instead, they work with distributed data structures and employ constructs for parallel task management (such as threads and activities) and synchronization. Communication is scheduled by the compiler and executed by the runtime system, which offers seamless access to the memory of remote nodes [10,11,12].…”

Section: Introductionmentioning

confidence: 99%