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High performance messaging on workstations: Illinois fast messages (FM) for Myrinet
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Proceedings of the 1995 ACM/IEEE conference on Supercomputing (CDROM) table of contents
San Diego, California, United States
Article No. 55  
Year of Publication: 1995
ISBN:0-89791-816-9
Authors
Scott Pakin  Department of Computer Science, University of Illinois at Urbana-Champaign, 1304 W. Springfield Ave., Urbana, IL
Mario Lauria  Dipartimento di Informatica e Sistemistica, Università di Napoli 'Federico II' via Claudio 21, 80125 Napoli, Italy
Andrew Chien  Department of Computer Science, University of Illinois at Urbana-Champaign, 1304 W. Springfield Ave., Urbana, IL
Sponsors
IEEE-CS : Computer Society
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 23,   Citation Count: 83
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ABSTRACT

The Convex SPP-1000 is the first commercial implementation of a new generation of scalable shared memory parallel computers with full cache coherence. It employs a hierarchical structure of processing communication and memory name-space management resources to provide a scalableNUMA environment. Ensembles of 8 HP PA-RISC7100 microprocessorsemploy an internal cross-bar switch and directory based cache coherence scheme to provide a tightly coupled SMP.Up to 16 processing ensembles are interconnected by a 4 ring network incorporating a full hardware implementation of the SCI protocol for a full system configuration of 128 processors. This paper presents the findings of a set of empirical studies using both synthetic test codes and full applications for the Earth and space sciences to characterize the performance properties of this new architecture. It is shown that overhead and latencies of global primitive mechanisms, while low in absolute time, are significantly more costly than similar functions local to an individual processor ensemble.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  83

Collaborative Colleagues:
Scott Pakin: colleagues
Mario Lauria: colleagues
Andrew Chien: colleagues