Adaptive granularity: Transparent integration of fine- and coarse-grain communication

The granularity of shared data is one of the key factors affecting the performance of distributed shared memory machines (DSM). Given that programs exhibit quite different sharing patterns, providing only one or tow fixed granularities cannot result in an efficient use of resources. On the other han...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of parallel programming Jg. 25; H. 5; S. 419 - 446
Hauptverfasser: Park, Daeyeon, Saavedra, Rafael H., Moon, Sungdo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY Plenum Press 01.10.1997
Springer Nature B.V
Schlagworte:
Applied sciences
Communication
Computer architecture
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Data processing. List processing. Character string processing
Exact sciences and technology
Memory organisation. Data processing
Software
Software engineering
Studies
Compiler
Distributed memory multiprocessor system
Computer simulation
Storage management
Data transmission
Replication
Adaptive granularity
Performance analysis
Program analysis
Resource management
Software engineering
Execution time
ISSN:0885-7458, 1573-7640
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The granularity of shared data is one of the key factors affecting the performance of distributed shared memory machines (DSM). Given that programs exhibit quite different sharing patterns, providing only one or tow fixed granularities cannot result in an efficient use of resources. On the other hand, supporting arbitrarily granularity sizes significantly increases not only hardware complexity but software overhead as well. Furthermore, the efficient use of arbitrary granularities put the burden on users to provide information about program behavior to compilers and runtime systems. These kind of requirements tend to restrict the programmability of the shared memory model. A new connections scheme is presented, called Adaptive Granularity (AG). Adaptive Granularity makes it possible to transparently integrate bulk transfer into the shared memory model by supporting variable-size granularity and memory replication. It consists of 2 protocols: one for small data and another for large data.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ISSN:0885-7458
1573-7640
DOI:10.1007/BF02699885