A framework for portable shared memory programming

Martin Schulz; Sally A. McKee

doi:10.1109/IPDPS.2003.1213146

A framework for portable shared memory programming

Martin Schulz, Sally A. McKee

Cornell University College of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Widespread adaptation of shared memory programming for high performance computing has been inhibited by a lack of standardization and the resulting portability problems between platforms and APIs. We present the HAMSTER framework, which helps overcome these problems via cross-platform support and easy retargetability to a wide range of programming models. HAMSTER currently supports models ranging from thread APIs to one-sided put/get interfaces, all on top of a single, core middleware architecture. The HAMSTER framework allows programmers to use any of these models, without modification, on top of SMPs, NUMA-like clusters, and Beowulf systems. In addition, our experiments show that HAMSTER achieves this flexibility and portability without sacrificing performance.

Original language	English
Title of host publication	Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	0769519261, 9780769519265
DOIs	https://doi.org/10.1109/IPDPS.2003.1213146
State	Published - 2003
Externally published	Yes
Event	International Parallel and Distributed Processing Symposium, IPDPS 2003 - Nice, France Duration: 22 Apr 2003 → 26 Apr 2003

Publication series

Name	Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003

Conference

Conference	International Parallel and Distributed Processing Symposium, IPDPS 2003
Country/Territory	France
City	Nice
Period	22/04/03 → 26/04/03

Access to Document

10.1109/IPDPS.2003.1213146

Cite this

Schulz, M., & McKee, S. A. (2003). A framework for portable shared memory programming. In Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003 Article 1213146 (Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPDPS.2003.1213146

@inproceedings{74c91773c51e4e6d9362c0765da37259,

title = "A framework for portable shared memory programming",

abstract = "Widespread adaptation of shared memory programming for high performance computing has been inhibited by a lack of standardization and the resulting portability problems between platforms and APIs. We present the HAMSTER framework, which helps overcome these problems via cross-platform support and easy retargetability to a wide range of programming models. HAMSTER currently supports models ranging from thread APIs to one-sided put/get interfaces, all on top of a single, core middleware architecture. The HAMSTER framework allows programmers to use any of these models, without modification, on top of SMPs, NUMA-like clusters, and Beowulf systems. In addition, our experiments show that HAMSTER achieves this flexibility and portability without sacrificing performance.",

author = "Martin Schulz and McKee, {Sally A.}",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; International Parallel and Distributed Processing Symposium, IPDPS 2003 ; Conference date: 22-04-2003 Through 26-04-2003",

year = "2003",

doi = "10.1109/IPDPS.2003.1213146",

language = "English",

series = "Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003",

}

Schulz, M & McKee, SA 2003, A framework for portable shared memory programming. in Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003., 1213146, Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003, Institute of Electrical and Electronics Engineers Inc., International Parallel and Distributed Processing Symposium, IPDPS 2003, Nice, France, 22/04/03. https://doi.org/10.1109/IPDPS.2003.1213146

A framework for portable shared memory programming. / Schulz, Martin; McKee, Sally A.
Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003. Institute of Electrical and Electronics Engineers Inc., 2003. 1213146 (Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A framework for portable shared memory programming

AU - Schulz, Martin

AU - McKee, Sally A.

PY - 2003

Y1 - 2003

N2 - Widespread adaptation of shared memory programming for high performance computing has been inhibited by a lack of standardization and the resulting portability problems between platforms and APIs. We present the HAMSTER framework, which helps overcome these problems via cross-platform support and easy retargetability to a wide range of programming models. HAMSTER currently supports models ranging from thread APIs to one-sided put/get interfaces, all on top of a single, core middleware architecture. The HAMSTER framework allows programmers to use any of these models, without modification, on top of SMPs, NUMA-like clusters, and Beowulf systems. In addition, our experiments show that HAMSTER achieves this flexibility and portability without sacrificing performance.

AB - Widespread adaptation of shared memory programming for high performance computing has been inhibited by a lack of standardization and the resulting portability problems between platforms and APIs. We present the HAMSTER framework, which helps overcome these problems via cross-platform support and easy retargetability to a wide range of programming models. HAMSTER currently supports models ranging from thread APIs to one-sided put/get interfaces, all on top of a single, core middleware architecture. The HAMSTER framework allows programmers to use any of these models, without modification, on top of SMPs, NUMA-like clusters, and Beowulf systems. In addition, our experiments show that HAMSTER achieves this flexibility and portability without sacrificing performance.

UR - http://www.scopus.com/inward/record.url?scp=84947229951&partnerID=8YFLogxK

U2 - 10.1109/IPDPS.2003.1213146

DO - 10.1109/IPDPS.2003.1213146

M3 - Conference contribution

AN - SCOPUS:84947229951

T3 - Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003

BT - Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Parallel and Distributed Processing Symposium, IPDPS 2003

Y2 - 22 April 2003 through 26 April 2003

ER -

A framework for portable shared memory programming

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this