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dc.contributor.author Stewart, Craig A.
dc.contributor.author Dahan, Maytal
dc.date.accessioned 2011-12-19T19:51:00Z
dc.date.available 2011-12-19T19:51:00Z
dc.date.issued 6/9/2008
dc.identifier.uri http://hdl.handle.net/2022/13990
dc.description Presented at TG'08, June 9-13, Las Vegas, NV en
dc.description.sponsorship IU’s involvement as a TeraGrid Resource Partner is supported in part by the National Science Foundation under Grants No. ACI-0338618l, OCI-0451237, OCI-0535258, and OCI-0504075. The IU Data Capacitor is supported in part by the National Science Foundation under Grant No. CNS-0521433. IU research presented here is supported in part by the Pervasive Technology Labs and the Indiana METACyt Initiative; both of these IU initiatives are supported by the Lilly Endowment, Inc., as well as Shared University Research grants from IBM, Inc. to IU. The LEAD portal is developed under the leadership of IU Professors Dr. Dennis Gannon and Dr. Beth Plale, and supported by NSF grant 331480. Marcus Christie and Surresh Marru of the Extreme! Computing Lab contributed the LEAD graphics. The ChemBioGrid Portal is developed under the leadership of IU Professor Dr. Geoffrey C. Fox and Dr. Marlon Pierce and funded via the Pervasive Technology Labs (supported by the Lilly Endowment, Inc.) and the National Institutes of Health grant P20 HG003894-01. Many of the ideas presented in this talk were developed under a Fulbright Senior Scholar’s award to Stewart, funded by the US Department of State and the Technische Universitaet Dresden. The Grid Infrastructure Group is funded by NSF grant 0503697. Purdue’s involvement as a TeraGrid Resource Partner is supported in part by the National Science Foundation under Grant No. OCI-050399. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation (NSF), National Institutes of Health (NIH), Lilly Endowment, Inc., or any other funding agency. This work is made possible by many staff throughout the US who are striving to make the TeraGrid a critical asset for the US in scientific discovery and global competitiveness. en
dc.language.iso en_US en
dc.rights Some figures are shown here taken from web, under an interpretation of fair use that seemed reasonable at the time and within reasonable readings of copyright interpretations. Such diagrams are indicated here with a source url. In several cases these web sites are no longer available, so the diagrams are included here for historical value. Except where otherwise noted, by inclusion of a source url or some other note, the contents of this presentation are © by the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). This license includes the following terms: You are free to share – to copy, distribute and transmit the work and to remix – to adapt the work under the following conditions: attribution – you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work. en
dc.rights.uri http://creativecommons.org/licenses/by/3.0/ en
dc.title Introduction to Parallel Computing on the TeraGrid Part 1: the TeraGrid and Parallel Computing concepts en
dc.type Presentation en
dc.altmetrics.display true en


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