PetaFLOPS Computing.
The article discusses the use of PetaFLOPS computers in understanding the functions of biological molecules. PetaFLOPS computers are capable of performing a thousand trillion mathematical operations per second and are 25 times faster than the largest supercomputers. The effort to create PetaFLOPS co...
| Publicado en: | Communications of the ACM Vol. 47; no. 11; pp. 42 - 46 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Association for Computing Machinery
Nov2004
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=14958037&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 14958037 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Nov2004 vid: 47 iid: 11 pid: 68 pub: Association for Computing Machinery artinfo: ui: 14958037 10.1145/1029496.1029524 ppf: 42 ppct: 4 formats: tig: atl: PetaFLOPS Computing. aug: au: Ebisuzaki, Toshikazu Germain, Robert Taiji, Makoto affil: Chief Scientist, Institute of Physical and Chemical Research, Wako, Japan. Project Director, MD-GRAPE, Peta Computing Institute, Ltd., Wako, Japan. Manager, Biomolecular Dynamics and Scalable Modeling, IBM Thomas J. Watson Research Center; Yorktown Heights, NY. Team Leader, High Performance Biocomputing Research, Institute of Physical and Chemical Research in Wako, Japan. su: Petaflops computers Biomolecules International Business Machines Corp. Microprocessors Parallel programming Supercomputers sug: subj: Petaflops computers Biomolecules International Business Machines Corp. Microprocessors Parallel programming Supercomputers ab: The article discusses the use of PetaFLOPS computers in understanding the functions of biological molecules. PetaFLOPS computers are capable of performing a thousand trillion mathematical operations per second and are 25 times faster than the largest supercomputers. The effort to create PetaFLOPS computing systems to study complex biological phenomena faces three critical challenges: money; the physical aspects of providing electricity and cooling for very large systems; and the algorithms needed to create programs that will run effectively on a PetaFLOPS scale computer. Due to the challenges of developing applications that will scale to run on a PetaFLOPS computer, and due to the practical problems of managing power and cooling, current efforts to build PetaFLOPS computing systems take different strategies from those employed in the design of most large supercomputers. The IBM Corp.'s Blue Gene Project is leveraging low-power chip technologies developed for embedded microprocessors to achieve extremely high ratios of performance to power dissipated while combining these CPUs with a highly specialized interconnect that greatly facilitates large-scale parallel programming. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2004 holdings: @attributes: islocal: N |
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