{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T22:54:35Z","timestamp":1777676075511,"version":"3.51.4"},"reference-count":20,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[1998,12,1]],"date-time":"1998-12-01T00:00:00Z","timestamp":912470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of High Performance Computing Applications"],"published-print":{"date-parts":[[1998,12]]},"abstract":"<jats:p>Dynamic simulations based on time-varying inputs are extremely I\/O intensive. This is shown by industrial appli cations generating environmental projections based on seasonal-to-interannual climate forecasts that have a compute to data access ratio of O(n) leading to significant performance degradation. Exploitation of compression techniques such as run length encoding (RLE) signifi cantly reduces the I\/O bottleneck and storage require ments. Unfortunately, traditional RLE algorithms do not perform well in a parallel vector platform such as the Cray architecture. This paper describes the design and imple mentation of a new RLE algorithm based on data chunking and packing that exploits the Cray gather-scatter vector hardware and multiple processors. This approach reduces I\/O and file storage requirements on average by an order of magnitude. Data intensive applications such as the integration of environmental and global climate models now become practical in a realistic time frame.<\/jats:p>","DOI":"10.1177\/109434209801200402","type":"journal-article","created":{"date-parts":[[2007,3,4]],"date-time":"2007-03-04T20:17:47Z","timestamp":1173039467000},"page":"396-410","source":"Crossref","is-referenced-by-count":3,"title":["Parallel Run Length Encoding Compression: Reducing I\/o in dYnamic Environmental Simulations"],"prefix":"10.1177","volume":"12","author":[{"given":"G.","family":"Davis","sequence":"first","affiliation":[{"name":"NETSTORM, BRISBANE, AUSTRALIA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L.","family":"Lau","sequence":"additional","affiliation":[{"name":"ADVANCED COMPUTATIONAL MODELLING CENTRE, UNIVERSITY\rOF QUEENSLAND, BRISBANE, AUSTRALIA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Young","sequence":"additional","affiliation":[{"name":"QUEENSLAND DEPARTMENT OF NATURAL RESOURCES, BRISBANE,\rAUSTRALIA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"Duncalfe","sequence":"additional","affiliation":[{"name":"QUEENSLAND DEPARTMENT OF NATURAL RESOURCES, BRISBANE,\rAUSTRALIA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L.","family":"Brebber","sequence":"additional","affiliation":[{"name":"QUEENSLAND DEPARTMENT OF NATURAL RESOURCES, BRISBANE,\rAUSTRALIA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1998,12,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1126\/science.261.5124.1026"},{"key":"atypb2","volume-title":"Development of a national drought alert strategic information system. 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