Supercomputing '94最新文献

{"title":"Computer modeling in science education: toward a research and planning agenda","authors":"W. Feurzeig, Nancy Roberts","doi":"10.1145/602770.602776","DOIUrl":"https://doi.org/10.1145/602770.602776","url":null,"abstract":"Computer modeling can dramatically enliven science education by engaging students in active investigation and providing compelling learning experiences that enhance scientific insight and understanding. Computational facilities once limited to the science research community are becoming increasingly available for use in precollege science education. These include networking and teleconferencing resources, parallel modeling, computer visualization, computer-based laboratory probes, and virtual reality environments. However, there is a significant lag between the new technological capabilities and their effective educational implementation. This panel discusses the question: what research issues need to be addressed in bringing computer modeling into the K-12 science curriculum?","PeriodicalId":355741,"journal":{"name":"Supercomputing '94","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114590672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Selecting \"best\" MPP: do benchmarks really tell the whole story?","authors":"M. Ginsberg","doi":"10.1145/602770.602775","DOIUrl":"https://doi.org/10.1145/602770.602775","url":null,"abstract":"The proliferation of MPP's has made it very difficult for users to accurately assess which machine is \"best\" for a specific user application. Simply testing one or more kernels on a new machine is insufficient since slight program modifications can produce large variations in performance and thus could lead users to erroneous conclusions about the performance of the entire application. Most industrial applications are far too large to be easily or quickly benchmarked. Although there are many benchmark suites, can performance with any of those accurately predict performance for a specific industrial application? This is the dilemma potential MPP users face. The panel members have had extensive benchmarking experience. Topics to be discussed include: assessing MPP performance for scientific, engineering, and/or commercial data processing applications (including database and transactions processing); limitations of existing benchmark suites and performance metrics; guidelines to assess MPP performance.","PeriodicalId":355741,"journal":{"name":"Supercomputing '94","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134070357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of numerical and experimental wind tunnels (IofNEWT)","authors":"F. R. Bailey, Mike George, D. Koga, P. Buning, Paul Delzio, R. Kulfan","doi":"10.1145/602770.602778","DOIUrl":"https://doi.org/10.1145/602770.602778","url":null,"abstract":"Nearly two decades ago, predictions were made that the computer would replace the wind tunnel. While the prediction has not come true, the dependence on Computational Fluid Dynamics (CFD) in the aircraft design process has increased dramatically. IofNEWT combines the two methodologies, wind tunnels and computations, together with experimental instrumentation, supercomputers, scientific visualization, networking, remote communications and expert systems to create a real-time aerodynamic development environment. The resulting synergy produces a capability for providing increased data and its subsequent conversion to understanding and knowledge of aerodynamic phenomena, as well as changing the paradigm for wind-tunnel testing. A sub-element of IofNEWT is the Remote Access Wind Tunnel (RAWT) which allows real-time access and interaction with the wind tunnel and supercomputing facilities from the remote user sites. The presentation addresses the evolution of the IofNEWT program, including RAWT, and implementations accomplished thus far. During two 1994 wind-tunnel tests, experimental results were combined in real-time with numerical simulation data of the wind-tunnel configurations, including complex facility effects. The results were presented simultaneously to on-site and off-site users, with off-site interaction capabilities.","PeriodicalId":355741,"journal":{"name":"Supercomputing '94","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132841836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Findings of the joint NSF-NASA initiative in evaluation","authors":"S. Hotovy, W. Pfeiffer, T. Sterling","doi":"10.1145/602770.602901","DOIUrl":"https://doi.org/10.1145/602770.602901","url":null,"abstract":"The Joint NSF-NASA Initiative in Evaluation (JNNIE: pronounced \"genie\") is an important collaborative study among nine NASA and NSF high performance computing research centers to evaluate the capabilities and deficiencies of major commercial scalable parallel computing SYstems. JNNIE investigators are developing results that permit meaningful comparisons to be made among parallel systems and programming methodologies by employing a common set of metrics, sharing high performance computing resources, and investigating a wide array of scientific applications. JNNIE findings go beyond benchmarking and reveal the factors contributing to observed behavior of parallel systems. The focus of this year and a half long effort is on performance, sources of performance degradation, scalability, and ease-of-use. Among the important results presented will be architecture features, and software technology that supports or impedes parallel computing effectiveness. The purpose of the panel session at Supercomputing '94 is to announce the findings of this study to the supercomputing community. The panel session will present the experimental methodology, measurements, analysis, and conclusions. Also, recommendations of near term directions in the evolution of commercial scalable parallel computing systems will be given. An extended period for discussion will be provided to permit questions and views to be expressed by attendees. The panelists for this session will be: Wayne Pfeiffer (Moderator), NSF San Diego Supercomputer Center; Richard S. Hirsh, NSF Headquarters; Steven Hotovy, Cornell Theory Center; Nick Nystrom, Pittsburgh Supercomputing Center; David H. Rudy, NASA Langley Research Center; Paul H. Smith, NASA Headquarters; Thomas Sterling, Universities Space Research Association. Wayne Pfeiffer will be the Moderator for the panel session. Dr. Pfeiffer is Deputy Director for Research at the NSF San Diego Supercomputer Center (SDSC). Besides coordinating the research program, Dr. Pfeiffer is directly responsible for the thrust in parallel computing. An ongoing research interest of his is performance analysis of supercomputers. Dr. Pfeiffer has been at SDSC since its inception, having served as manager of both user services and applications. Prior to that he worked as a","PeriodicalId":355741,"journal":{"name":"Supercomputing '94","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129058697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Issues in undergraduate education in computational science and high performance computing","authors":"T. Marchioro","doi":"10.1145/602770.602773","DOIUrl":"https://doi.org/10.1145/602770.602773","url":null,"abstract":"The ever increasing need for mathematical and computational literacy within our society and among members of the work force has generated enormous pressure to revise and improve the teaching of related subjects throughout the curriculum, particularly at the undergraduate level. The Calculus Reform movement is perhaps the best known example of an organized initiative in this regard.The UCES (Undergraduate Computational Engineering and Science) project, an effort funded by the Department of Energy and administered through the Ames Laboratory, is sponsoring an informal and open discussion of the salient issues confronting efforts to improve and expand the teaching of computational science as a problem oriented, interdisciplinary approach to scientific investigation.Although the format will be open, we hope to consider pertinent questions such as:1. How can faculty and research scientists obtain the recognition necessary to further excellence in teaching the mathematical and computational sciences?2. What sort of educational resources -- both hardware and software -- are needed to teach computational science at the undergraduate level? Are traditional procedural languages sufficient? Are PCs enough? Are massively parallel platforms needed?3. How can electronic educational materials be distributed in an efficient way? Can they be made interactive in nature? How should such materials be tied to the World Wide Web and the growing \"Information Superhighway\"?4. Can these teaching materials be adapted for use by teachers' colleges? Can they also be incorporated by industry for (re)training of staff?5. How should efforts to improve undergraduate education be integrated with current programs aimed at the high school level? Specifically, what new kinds of preparation might be needed from K-12, freshman math, etc., to improve mathematical and computational education throughout the undergraduate curriculum?6. What is the role of the national laboratories and high performance computing centers in education at the undergraduate level? Can they play an active part in this process? Similarly, what further actions can be taken by government, whether at the federal, state, or local level, to promote the goal of a mathematical literacy within our society.","PeriodicalId":355741,"journal":{"name":"Supercomputing '94","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116196792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Realizing the benefits of high performance computing for solving environmental and other problems: what do we need beyond faster hardware?","authors":"G. McRae","doi":"10.1145/602770.602823","DOIUrl":"https://doi.org/10.1145/602770.602823","url":null,"abstract":"A common viewpoint is that high performance computing offers the potential to revolutionize our approach to modern scientific and engineering practice. Unfortunately, in the debate about just how to realize the benefits much of the discussion is narrowly focused on just the hardware. What is missing is a more pragmatic assessment of how to reduce the elapsed time between problem definition and its solution. This presentation will discuss the need for a seamless integration of such elements as algorithm development, problem mapping, high level compiler technologies, documentation and display of results. Particular attention will be given to the issue of how to capture the potential offered by massively parallel processing and Gbit/s network based supercomputing. The talk will be illustrated with many practical examples that range from a combinatorial optimization based approach to the design of new chemical plants, computational chemistry, resource scheduling in the presence of uncertainty and scientific visualization. Several new algorithms will be presented for the solution of large systems of differential equations. The new methods, which require modern compiler technology to ensure optimal problem mapping strategies, are 3-5 orders of magnitude faster than existing techniques. The final component of the presentation will be a discussion of the educational issues and in particular the :need for more programs in scientific and engineering computation.","PeriodicalId":355741,"journal":{"name":"Supercomputing '94","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129893858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}