Impulse: Memory System Support for Scientific Applications
Impulse is a new memory system architecture that adds two important features to a traditional memory controller. First, Impulse supports application‐specific optimizations through configurable physical address remapping. By remapping physical addresses, applications control how their data is accesse...
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1999-01-01
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Series: | Scientific Programming |
Online Access: | http://dx.doi.org/10.1155/1999/209416 |
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doaj-07372f613740472d8018561734b480b32021-07-02T04:02:11ZengHindawi LimitedScientific Programming1058-92441875-919X1999-01-0173-419520910.1155/1999/209416Impulse: Memory System Support for Scientific ApplicationsJohn B. Carter0Wilson C. Hsieh1Leigh B. Stoller2Mark Swanson3Lixin Zhang4Sally A. McKee5Department of Computer Science, University of Utah, Salt Lake City, UT 84112, USADepartment of Computer Science, University of Utah, Salt Lake City, UT 84112, USADepartment of Computer Science, University of Utah, Salt Lake City, UT 84112, USAIntel Corporation, Dupont, WA 98327, USADepartment of Computer Science, University of Utah, Salt Lake City, UT 84112, USADepartment of Computer Science, University of Utah, Salt Lake City, UT 84112, USAImpulse is a new memory system architecture that adds two important features to a traditional memory controller. First, Impulse supports application‐specific optimizations through configurable physical address remapping. By remapping physical addresses, applications control how their data is accessed and cached, improving their cache and bus utilization. Second, Impulse supports prefetching at the memory controller, which can hide much of the latency of DRAM accesses. Because it requires no modification to processor, cache, or bus designs, Impulse can be adopted in conventional systems. In this paper we describe the design of the Impulse architecture, and show how an Impulse memory system can improve the performance of memory‐bound scientific applications. For instance, Impulse decreases the running time of the NAS conjugate gradient benchmark by 67%. We expect that Impulse will also benefit regularly strided, memory‐bound applications of commercial importance, such as database and multimedia programs.http://dx.doi.org/10.1155/1999/209416 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
John B. Carter Wilson C. Hsieh Leigh B. Stoller Mark Swanson Lixin Zhang Sally A. McKee |
spellingShingle |
John B. Carter Wilson C. Hsieh Leigh B. Stoller Mark Swanson Lixin Zhang Sally A. McKee Impulse: Memory System Support for Scientific Applications Scientific Programming |
author_facet |
John B. Carter Wilson C. Hsieh Leigh B. Stoller Mark Swanson Lixin Zhang Sally A. McKee |
author_sort |
John B. Carter |
title |
Impulse: Memory System Support for Scientific Applications |
title_short |
Impulse: Memory System Support for Scientific Applications |
title_full |
Impulse: Memory System Support for Scientific Applications |
title_fullStr |
Impulse: Memory System Support for Scientific Applications |
title_full_unstemmed |
Impulse: Memory System Support for Scientific Applications |
title_sort |
impulse: memory system support for scientific applications |
publisher |
Hindawi Limited |
series |
Scientific Programming |
issn |
1058-9244 1875-919X |
publishDate |
1999-01-01 |
description |
Impulse is a new memory system architecture that adds two important features to a traditional memory controller. First, Impulse supports application‐specific optimizations through configurable physical address remapping. By remapping physical addresses, applications control how their data is accessed and cached, improving their cache and bus utilization. Second, Impulse supports prefetching at the memory controller, which can hide much of the latency of DRAM accesses. Because it requires no modification to processor, cache, or bus designs, Impulse can be adopted in conventional systems. In this paper we describe the design of the Impulse architecture, and show how an Impulse memory system can improve the performance of memory‐bound scientific applications. For instance, Impulse decreases the running time of the NAS conjugate gradient benchmark by 67%. We expect that Impulse will also benefit regularly strided, memory‐bound applications of commercial importance, such as database and multimedia programs. |
url |
http://dx.doi.org/10.1155/1999/209416 |
work_keys_str_mv |
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1721340751221096448 |