SCI networking for shared-memory computing in UPC: Blueprints of the GASNet SCI conduit

H. Su; B. Gordon; S. Oral; A. George

doi:10.1109/LCN.2004.107

SCI networking for shared-memory computing in UPC: Blueprints of the GASNet SCI conduit

H. Su, B. Gordon, S. Oral, A. George

National Center for Computational Scienc

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

Unified Parallel C (UPC) is a programming model for shared-memory parallel computing on shared- and distributed-memory systems. The Berkeley UPC software, which operates on top of their Global Addressing Space Networking (GASNet) communication system, is a portable, high-performance implementation of UPC for large-scale clusters. The Scalable Coherent Interface (SCI), a torus-based system-area network (SAN), is known for its ability to provide very low latency transfers as well as its direct support for both shared-memory and message-passing communications. High-speed clusters constructed around SCI promise to be a potent platform for large-scale UPC applications. This paper introduces the design of the Core API for the new SCI conduit for GASNet and UPC, which is based on Active Messages (AM). Latency and bandwidth data were collected and are compared with raw SCI results and with other existing GASNet conduits. The outcome shows that the new GASNet SCI conduit is able to provide promising performance in support of UPC applications.

Original language	English
Pages	718-725
Number of pages	8
DOIs	https://doi.org/10.1109/LCN.2004.107
State	Published - 2004
Event	Proceedings - 29th Annual IEEE International Conference on Local Computer Networks, LCN 2004 - Tampa, FL, United States Duration: Nov 16 2004 → Nov 18 2004

Conference

Conference	Proceedings - 29th Annual IEEE International Conference on Local Computer Networks, LCN 2004
Country/Territory	United States
City	Tampa, FL
Period	11/16/04 → 11/18/04

Keywords

Active Messages
Global Address Space Networking
Scalable Coherent Interface
Unified Parallel C

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10.1109/LCN.2004.107

Cite this

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abstract = "Unified Parallel C (UPC) is a programming model for shared-memory parallel computing on shared- and distributed-memory systems. The Berkeley UPC software, which operates on top of their Global Addressing Space Networking (GASNet) communication system, is a portable, high-performance implementation of UPC for large-scale clusters. The Scalable Coherent Interface (SCI), a torus-based system-area network (SAN), is known for its ability to provide very low latency transfers as well as its direct support for both shared-memory and message-passing communications. High-speed clusters constructed around SCI promise to be a potent platform for large-scale UPC applications. This paper introduces the design of the Core API for the new SCI conduit for GASNet and UPC, which is based on Active Messages (AM). Latency and bandwidth data were collected and are compared with raw SCI results and with other existing GASNet conduits. The outcome shows that the new GASNet SCI conduit is able to provide promising performance in support of UPC applications.",

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author = "H. Su and B. Gordon and S. Oral and A. George",

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doi = "10.1109/LCN.2004.107",

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AU - Gordon, B.

AU - Oral, S.

AU - George, A.

PY - 2004

Y1 - 2004

N2 - Unified Parallel C (UPC) is a programming model for shared-memory parallel computing on shared- and distributed-memory systems. The Berkeley UPC software, which operates on top of their Global Addressing Space Networking (GASNet) communication system, is a portable, high-performance implementation of UPC for large-scale clusters. The Scalable Coherent Interface (SCI), a torus-based system-area network (SAN), is known for its ability to provide very low latency transfers as well as its direct support for both shared-memory and message-passing communications. High-speed clusters constructed around SCI promise to be a potent platform for large-scale UPC applications. This paper introduces the design of the Core API for the new SCI conduit for GASNet and UPC, which is based on Active Messages (AM). Latency and bandwidth data were collected and are compared with raw SCI results and with other existing GASNet conduits. The outcome shows that the new GASNet SCI conduit is able to provide promising performance in support of UPC applications.

AB - Unified Parallel C (UPC) is a programming model for shared-memory parallel computing on shared- and distributed-memory systems. The Berkeley UPC software, which operates on top of their Global Addressing Space Networking (GASNet) communication system, is a portable, high-performance implementation of UPC for large-scale clusters. The Scalable Coherent Interface (SCI), a torus-based system-area network (SAN), is known for its ability to provide very low latency transfers as well as its direct support for both shared-memory and message-passing communications. High-speed clusters constructed around SCI promise to be a potent platform for large-scale UPC applications. This paper introduces the design of the Core API for the new SCI conduit for GASNet and UPC, which is based on Active Messages (AM). Latency and bandwidth data were collected and are compared with raw SCI results and with other existing GASNet conduits. The outcome shows that the new GASNet SCI conduit is able to provide promising performance in support of UPC applications.

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SCI networking for shared-memory computing in UPC: Blueprints of the GASNet SCI conduit

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Keywords

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