SX-ACE, the Brand-New Vector Supercomputer for Higher Sustained Performance II
Noritaka Hoshi () and
Shintaro Momose ()
Additional contact information
Noritaka Hoshi: NEC Corporation
Shintaro Momose: NEC Corporation
A chapter in Sustained Simulation Performance 2014, 2015, pp 69-79 from Springer
Abstract:
Abstract This paper describes an introduction of NEC’s brand-new vector supercomputer, SX-ACE. The SX-ACE, which inherits and improves the NEC’s SX vector architecture, is developed to provide superior sustained performance, especially for memory-intensive applications. For this purpose, the SX-ACE processor achieves the world’s top-class single core performance of 64 GFLOPS and the world’s leading memory bandwidth of 64 GB/s per core. Moreover, the SX-ACE system is designed to reduce power consumption to one-tenth with just one-fifth the floor space as compared to the previous SX-9 model by maintaining the same system performance. In this paper, we elaborate on the design concept, architectural overview, and implementation of the SX-ACE. We also discuss the sustained performance of the SX-ACE for several benchmark codes. The evaluation results demonstrate significantly improved sustained performance and power efficiency of the SX-ACE system in comparison with the SX-9.
Keywords: Memory Bandwidth; Sustained Performance; Memory Controller; Installation Space; Benchmark Code (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10626-7_6
Ordering information: This item can be ordered from
http://www.springer.com/9783319106267
DOI: 10.1007/978-3-319-10626-7_6
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().