{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T22:47:27Z","timestamp":1726440447085},"reference-count":0,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2000,1,1]],"date-time":"2000-01-01T00:00:00Z","timestamp":946684800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2000,1]]},"abstract":"<jats:p>The NEC SX\u20104M cluster and Fujitsu VPP700 supercomputers are both based on custom vector processors using low\u2010power CMOS technology. Their basic architectures and programming models are however somewhat different. A multi\u2010node SX\u20104M cluster contains up to 32 processors per shared memory node, with a maximum of 16 nodes connected via the proprietary NEC IXS fibre channel crossbar network. A hybrid combination of inter\u2010node MPI message\u2010passing with intra\u2010node tasking or threads is possible. The Fujitsu VPP700 is a fully distributed\u2010memory vector machine with a crossbar interconnect which also supports MPI. The parallel performance of the MC2 model for high\u2010resolution mesoscale forecasting over large domains and of the IFS RAPS 4.0 benchmark are presented for several different machine configurations. These include an SX\u20104\/32, an SX\u20104\/32M cluster and up to 100 PE\u2032s of the VPP700. Our results indicate that performance degradation for both models on a single SX\u20104 node is primarily due to memory contention within the internal crossbar switch. Multinode SX\u20104 performance is slightly better than single node. Longer vector lengths and SDRAM memory on the VPP700 result in lower per processor execution rates. Both models achieve close to ideal scaling on the VPP700.<\/jats:p>","DOI":"10.1155\/2000\/269312","type":"journal-article","created":{"date-parts":[[2015,1,12]],"date-time":"2015-01-12T14:06:15Z","timestamp":1421071575000},"page":"23-30","source":"Crossref","is-referenced-by-count":0,"title":["Performance of MC2 and the ECMWF IFS Forecast Model on the Fujitsu VPP700 and NEC SX\u20104M"],"prefix":"10.1155","volume":"8","author":[{"given":"Michel","family":"Desgagn\u00e9","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen","family":"Thomas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michel","family":"Valin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2000,10,11]]},"container-title":["Scientific Programming"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2000\/269312.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2000\/269312","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T10:19:31Z","timestamp":1723112371000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2000\/269312"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2000,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2000,1]]}},"alternative-id":["10.1155\/2000\/269312"],"URL":"https:\/\/doi.org\/10.1155\/2000\/269312","archive":["Portico"],"relation":{},"ISSN":["1058-9244","1875-919X"],"issn-type":[{"type":"print","value":"1058-9244"},{"type":"electronic","value":"1875-919X"}],"subject":[],"published":{"date-parts":[[2000,1]]}}}