NDLI: MGS:a multigrain shared memory system

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Volume 24, Issue 5, Dec. 1996

Volume 24, Issue 4, Sept. 1996

Volume 24, Issue 3, June 1 1996

Volume 24, Issue 2, May 1996

Using hybrid branch predictors to improve branch prediction accuracy in the presence of context switches

An analysis of dynamic branch prediction schemes on system workloads

Correlation and aliasing in dynamic branch predictors

Decoupled hardware support for distributed shared memory

Evaluation of design alternatives for a multiprocessor microprocessor

Memory bandwidth limitations of future microprocessors

Missing the memory wall

Don't use the page number, but a pointer to it

The difference-bit cache

Understanding application performance on shared virtual memory systems

Application and architectural bottlenecks in large scale distributed shared memory machines

Increasing cache port efficiency for dynamic superscalar microprocessors

High-bandwidth address translation for multiple-issue processors

DCD—disk caching disk

Polling watchdog

Exploiting choice

Evaluation of multithreaded uniprocessors for commercial application environments

Performance comparison of ILP machines with cycle time evaluation

Rotating combined queueing (RCQ)

A router architecture for real-time point-to-point networks

Coherent network interfaces for fine-grain communication

Informing memory operations

Instruction prefetching of systems codes with layout optimized for reduced cache misses

Compiler and hardware support for cache coherence in large-scale multiprocessors

Early experience with message-passing on the SHRIMP multicomputer

Volume 24, Issue 1, March 1996

MGS:a multigrain shared memory system

Content Provider	ACM Digital Library
Author	Agarwal, Anant Yeung, Donald Kubiatowicz, John
Abstract	Parallel workstations, each comprising 10-100 processors, promise cost-effective general-purpose multiprocessing. This paper explores the coupling of such small- to medium-scale shared memory multiprocessors through software over a local area network to synthesize larger shared memory systems. We call these systems Distributed Scalable Shared-memory Multiprocessors (DSSMPs).This paper introduces the design of a shared memory system that uses multiple granularities of sharing, and presents an implementation on the Alewife multiprocessor, called MGS. Multigrain shared memory enables the collaboration of hardware and software shared memory, and is effective at exploiting a form of locality called multigrain locality. The system provides efficient support for fine-grain cache-line sharing, and resorts to coarse-grain page-level sharing only when locality is violated. A framework for characterizing application performance on DSSMPs is also introduced.Using MGS, an in-depth study of several shared memory applications is conducted to understand the behavior of DSSMPs. We find that unmodified shared memory applications can exploit multigrain sharing. Keeping the number of processors fixed, applications execute up to 85% faster when each DSSMP node is a multiprocessor as opposed to a uniprocessor. We also show that tightly-coupled multiprocessors hold a significant performance advantage over DSSMPs on unmodified applications. However, a best-effort implementation of a kernel from one of the applications allows a DSSMP to almost match the performance of a tightly-coupled multiprocessor.
Starting Page	44
Ending Page	55
Page Count	12
File Format	PDF
ISSN	01635964
DOI	10.1145/232974.232980
Journal	ACM SIGARCH Computer Architecture News (CARN)
Volume Number	24
Issue Number	2
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1981-04-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article

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