The GASPI API: A Failure Tolerant PGAS API for Asynchronous Dataflow on Heterogeneous Architectures

Christian Simmendinger (), Mirko Rahn () and Daniel Gruenewald ()
Additional contact information
Christian Simmendinger: T-Systems Solutions for Research
Mirko Rahn: Fraunhofer ITWM
Daniel Gruenewald: Fraunhofer ITWM

A chapter in Sustained Simulation Performance 2014, 2015, pp 17-32 from Springer

Abstract: Abstract The Global Address Space Programming Interface (GASPI) is a Partitioned Global Address Space (PGAS) API specification. The GASPI API specification is focused on three key objectives: scalability, flexibility and fault tolerance. It offers a small, yet powerful API composed of synchronization primitives, synchronous and asynchronous collectives, fine-grained control over one-sided read and write communication primitives, global atomics, passive receives, communication groups and communication queues. GASPI has been designed for one-sided RDMA-driven communication in a PGAS environment. As such, GASPI aims to initiate a paradigm shift from bulk-synchronous two-sided communication patterns towards an asynchronous communication and execution model. In order to achieve its much improved scaling behaviour GASPI leverages request based asynchronous dataflow with remote completion. In GASPI request based remote completion indicates that the operation has completed at the target window. The target hence can (on a per request basis) establish whether a one sided operation is complete at the target. A correspondingly implemented fine-grain asynchronous dataflow model can achieve a largely improved scaling behaviour relative to MPI.

Keywords: Collective Operation; Many Integrate Core; Atomic Counter; Remote Process; Single Program Multiple Data (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10626-7_2

Ordering information: This item can be ordered from
http://www.springer.com/9783319106267

DOI: 10.1007/978-3-319-10626-7_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().