This paper reports our experience implementing the Blizzard fine-grain distributed shared memory system on a network of unmodified dual-processor workstations running a commercial operating system. The paper describes and measures: three fine-grain access control mechanisms (optimized software, commodity hardware, and custom hardware); a low-latency, user-level communication layer; kernel support in a commercial operating system; and techniques to exploit multiprocessor (SMP) nodes. The results show that a network of workstations can effectively support fine-grain shared memory, but that high performance requires either custom network hardware or custom coherence protocols. 1 Introductio
Software fine-grain distributed shared memory (FGDSM) provides a simplified shared-memory programmin...
Low-latency, remote-write-access networks have recently become commodity items. These networks can c...
Software fine-grain distributed shared memory (FGDSM) provides a simplified shared-memory programmin...
This paper reports our experience implementing the Blizzard fine-grain distributed shared memory sys...
Symmetric multiprocessors (SMPs) connected with low-latency networks provide attractive building blo...
This paper discusses implementations of fine-grain mem-ory access control, which selectively restric...
Clusters of workstations have long provided a cost-effective, large-scale parallel computing platfor...
Commercial SMP nodes are an attractive building block for software distributed shared memory systems...
Commercial SMP nodes are an attractive building block for software distributed shared memory systems...
Parallel workstations, each comprising 10-100 processors, promise cost-effective general-purpose mul...
This thesis describes and evaluates an integrated memory and network subsystem designed to provide t...
Recent distributed shared memory (DSM) systems and proposed shared-memory machines have implemented ...
Parallel systems supporting a shared memory programming interface have been implemented both in soft...
Parallel workstations, each comprising tens of processors based on shared memory, promise cost-e ect...
Recent distributed shared memoy (DSM) systems and proposed shared-memory machines have imple-mented ...
Software fine-grain distributed shared memory (FGDSM) provides a simplified shared-memory programmin...
Low-latency, remote-write-access networks have recently become commodity items. These networks can c...
Software fine-grain distributed shared memory (FGDSM) provides a simplified shared-memory programmin...
This paper reports our experience implementing the Blizzard fine-grain distributed shared memory sys...
Symmetric multiprocessors (SMPs) connected with low-latency networks provide attractive building blo...
This paper discusses implementations of fine-grain mem-ory access control, which selectively restric...
Clusters of workstations have long provided a cost-effective, large-scale parallel computing platfor...
Commercial SMP nodes are an attractive building block for software distributed shared memory systems...
Commercial SMP nodes are an attractive building block for software distributed shared memory systems...
Parallel workstations, each comprising 10-100 processors, promise cost-effective general-purpose mul...
This thesis describes and evaluates an integrated memory and network subsystem designed to provide t...
Recent distributed shared memory (DSM) systems and proposed shared-memory machines have implemented ...
Parallel systems supporting a shared memory programming interface have been implemented both in soft...
Parallel workstations, each comprising tens of processors based on shared memory, promise cost-e ect...
Recent distributed shared memoy (DSM) systems and proposed shared-memory machines have imple-mented ...
Software fine-grain distributed shared memory (FGDSM) provides a simplified shared-memory programmin...
Low-latency, remote-write-access networks have recently become commodity items. These networks can c...
Software fine-grain distributed shared memory (FGDSM) provides a simplified shared-memory programmin...