The MIT Alewife Machine: A Large-scale Distributed-memory Multiprocessor
The Alewife multiprocessor project focuses on the architecture and design of a large-scale parallel machine. The machine uses a low dimension direct interconnection network to provide scalable communication band-width, while allowing the exploitation of locality. Despite its distributed memory archi...
Main Authors: | , , , , , , , , |
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Published: |
2023
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Online Access: | https://hdl.handle.net/1721.1/149181 |
_version_ | 1811089344271745024 |
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author | Agarwal, Anant Chaiken, David Johnson, Kirk Kranz, David Kubiatowicz, John Kurihara, Kiyoshi Lim, Beng-Hong Maa, Gino Nussbaum, Dan |
author_facet | Agarwal, Anant Chaiken, David Johnson, Kirk Kranz, David Kubiatowicz, John Kurihara, Kiyoshi Lim, Beng-Hong Maa, Gino Nussbaum, Dan |
author_sort | Agarwal, Anant |
collection | MIT |
description | The Alewife multiprocessor project focuses on the architecture and design of a large-scale parallel machine. The machine uses a low dimension direct interconnection network to provide scalable communication band-width, while allowing the exploitation of locality. Despite its distributed memory architecture, Alewife allows efficient shared memory programming through a multilayered approach to locality management. A new scalable cache coherence scheme called LimitLess directories allows the use of caches for reducing communication latency and network bandwidth requirements. |
first_indexed | 2024-09-23T14:17:42Z |
id | mit-1721.1/149181 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T14:17:42Z |
publishDate | 2023 |
record_format | dspace |
spelling | mit-1721.1/1491812023-03-30T03:27:46Z The MIT Alewife Machine: A Large-scale Distributed-memory Multiprocessor Agarwal, Anant Chaiken, David Johnson, Kirk Kranz, David Kubiatowicz, John Kurihara, Kiyoshi Lim, Beng-Hong Maa, Gino Nussbaum, Dan The Alewife multiprocessor project focuses on the architecture and design of a large-scale parallel machine. The machine uses a low dimension direct interconnection network to provide scalable communication band-width, while allowing the exploitation of locality. Despite its distributed memory architecture, Alewife allows efficient shared memory programming through a multilayered approach to locality management. A new scalable cache coherence scheme called LimitLess directories allows the use of caches for reducing communication latency and network bandwidth requirements. 2023-03-29T14:35:17Z 2023-03-29T14:35:17Z 1991-06 https://hdl.handle.net/1721.1/149181 26707657 MIT-LCS-TM-454 application/pdf |
spellingShingle | Agarwal, Anant Chaiken, David Johnson, Kirk Kranz, David Kubiatowicz, John Kurihara, Kiyoshi Lim, Beng-Hong Maa, Gino Nussbaum, Dan The MIT Alewife Machine: A Large-scale Distributed-memory Multiprocessor |
title | The MIT Alewife Machine: A Large-scale Distributed-memory Multiprocessor |
title_full | The MIT Alewife Machine: A Large-scale Distributed-memory Multiprocessor |
title_fullStr | The MIT Alewife Machine: A Large-scale Distributed-memory Multiprocessor |
title_full_unstemmed | The MIT Alewife Machine: A Large-scale Distributed-memory Multiprocessor |
title_short | The MIT Alewife Machine: A Large-scale Distributed-memory Multiprocessor |
title_sort | mit alewife machine a large scale distributed memory multiprocessor |
url | https://hdl.handle.net/1721.1/149181 |
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