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3 Questions for Cluster and Grid Use

3 Questions for Cluster and Grid Use. Asheville North Carolina September 11 2006 Geoffrey Fox Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN 47401 http://grids.ucs.indiana.edu/ptliupages/presentations/

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3 Questions for Cluster and Grid Use

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  1. 3 Questions for Cluster and Grid Use Asheville North Carolina September 11 2006 Geoffrey Fox Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN 47401 http://grids.ucs.indiana.edu/ptliupages/presentations/ gcf@indiana.eduhttp://www.infomall.org

  2. Is the work and activities of Global Grid Form (GGF/OGF) of any value to CCGSC Community? • Currently OGF is meeting (September 11-14) with • Development of standards • Varied collection of “forums” including workshops – it now has a specific eScience “function” (also Standards and Enterprise functions) • For example, OGF19 (North Carolina Jan 29 – Feb 2) one day workshops • Web 2.0 and the Grid • Federated Identity in Grids and (Virtual) Organizations • Currently very few OGF standards used but many W3C, OASIS standards are also not used • Mashups are composed from JavaScript, AJAX and REST and not BPEL WSDL and SOAP (http://www.programmableweb.com/matrix 270 APIs 1000 Mashups) • GridFTP popular (BitTorrent more popular); BES (Basic Execution Services) with JSDL (Job Specification Language) likely to be popular • “Standardly” available software like GT4Condor and SRB are used • Wide use of standards should help users as allows more sustainable software with multiple interoperating “vendors” • Could OGF activities be tweaked/redirected to be of more value? • Measurement: Number of OGF Standards used in real Grids • Measurement: Number of (eScience) attendees at OGF meetings

  3. Can we survive/make use of innovative multicore programming models I? • Multicore chips will generate programming models that are optimized for use in “broad applications” (aka “Microsoft Word”) and scaling up to eventually to some 128 cores • Fast thread switching operations with microsecond latency • It is unlikely that openMP and MPI will be dominant “broad programming” models as these optimized for different criteria • ParalleX (LSU), Software Transactional Memory STM, Microsoft’s Concurrency and Coordination Runtime CCR, and Functional Languages are approaches that have pretty different concurrency models from MPI/openMP • Don’t know how CCA and HPCS Languages sit with respect to multicore and its application base • One will get far-out “broad programming models” as well as those aimed at evolution over next 5-10 years

  4. Can we survive/make use of innovative multicore programming models II? • Are these new models a distraction or an opportunity for scientific computing? • Can we / Should we produce a new generation of hybrid programming models that say span MPI to CCR? • Could open up applications that didn’t work so well on traditional clusters/programming models • Discrete event simulation with Time Warp etc. is one example • Tree algorithms like Branch&Bound and Computer Chess will run well • Measurements: • Number of new applications enabled by multicore • Number of applications using “new” programming models • Performance of “new” programming models (and their run time)

  5. Do we need more expertise/ education/ consultants in parallel/concurrent computing? • There is a plethora of students with Grid and Internet technology skills • Few computer Science students (at Indiana) take more than an optional introductory parallel computing class • Application scientists are using parallel computers (clusters) but in my experience often use rather inefficient naïve algorithms • e.g. O(N2) not O(NlogN) algorithms • e.g. misuse of MPI collective communications • Probably DoE has plenty of experts • Do we need more students and more classes taught by more faculty? • Do we need more “consultants” • Measurements: • Quality of Code produced by “new” users • Number of Students graduating per year in various parts (CS and applications) of parallel computing

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