Re configurable HPC platform to support the solution of large electromagnetic problems

Marsh, Andy

dc.contributor.author	Marsh, Andy	en
dc.date.accessioned	2014-03-01T02:48:26Z
dc.date.available	2014-03-01T02:48:26Z
dc.date.issued	1996	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33808
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-38449097391&partnerID=40&md5=035cd47195d8f9f85636dc36992b3754	en
dc.subject.other	Computational methods	en
dc.subject.other	Computer architecture	en
dc.subject.other	Data storage equipment	en
dc.subject.other	Parallel algorithms	en
dc.subject.other	Parallel processing systems	en
dc.subject.other	Problem solving	en
dc.subject.other	Abstract only	en
dc.subject.other	GENES machine	en
dc.subject.other	High performance computing (HPC) platforms	en
dc.subject.other	Hybrid memory architecture	en
dc.subject.other	Electromagnetic fields	en
dc.title	Re configurable HPC platform to support the solution of large electromagnetic problems	en
heal.type	conferenceItem	en
heal.publicationDate	1996	en
heal.abstract	High performance computing (HPC) platforms and parallel programming techniques have reduced the computational times involved in solving large electromagnetic problems. The solution of such problems has direct influences on clinical environments. The utilization of a HPC platform becomes a crucial decision, having implications on algorithm design and code portation. To solve these technicalities, a novel abstract machine, called the GENES machine, that provides a heterogeneous HPC platform was designed. The system's layer of abstraction allows the applicational expert to encode parallel algorithms in an architectural independent manner. The GENES machine can be configured to suit the algorithm.	en
heal.publisher	IEEE	en
heal.journalName	Trans Black Sea Region Symposium on Applied Electromagnetism	en