{"id":46,"date":"2010-06-25T13:53:23","date_gmt":"2010-06-25T17:53:23","guid":{"rendered":"https:\/\/www.bu.edu\/pasi\/?page_id=46"},"modified":"2019-07-05T12:33:46","modified_gmt":"2019-07-05T16:33:46","slug":"program","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/pasi\/program\/","title":{"rendered":"Program"},"content":{"rendered":"<h2>Scientific Theme of the PASI<\/h2>\n<p>The focus of this Advanced Studies Institute is on scientific discovery by means of high-performance computing, HPC, \u00a0using the latest many-core computer hardware, in particular graphics processors, or GPUs.<\/p>\n<p>The use of GPUs for scientific computing has exploded in the last couple of years, as researchers realize that they can improve performance of their applications by 10 or 100 times. On the other hand, the technology has been developed with large amounts of R&amp;D funding sustained by the market for video gaming hardware, and thus it is commodity technology available at much lower prices than traditional HPC hardware. \u00a0Add to this a considerable improvement in power efficiency, compared with traditional HPC, and we have an enormous opportunity to satisfy the demand of scientists across the world for HPC capability.<\/p>\n<p>An unexpected benefit is that this technology presents a special opportunity for scientists at institutions <em>without<\/em> large installed computer infrastructure. \u00a0In particular, in medium-income developing countries, where there is an ample supply of highly trained scientists and engineers, but a lack of large-investment resources for research, there is a huge opportunity for increasing the scientific capacity by advanced training of researchers on the topics of this PASI.<\/p>\n<p>This PASI provided bleeding-edge training to graduate students and postdoctoral scholars in the use of the <strong>modern hardware<\/strong> for HPC. \u00a0It also dedicated a substantial amount of time to detailed discussions of <strong>fundamental algorithms <\/strong>for massively parallel computational applications. \u00a0Another area of focus was familiarizing participants with the most recent developments in <strong>open source libraries<\/strong> and programming tools\u2014examples of these include: \u00a0<a href=\"http:\/\/mathema.tician.de\/software\/pycuda\" target=\"_blank\">PyCuda<\/a>, <a href=\"http:\/\/code.google.com\/p\/opencurrent\/\" target=\"_blank\">OpenCurrent<\/a>\u2014 and well-established parallel libraries, such as <a href=\"http:\/\/www.mcs.anl.gov\/petsc\/petsc-as\/\" target=\"_blank\">PETSc<\/a>.<\/p>\n<h2>Areas of Application<\/h2>\n<p>All of the above were focused around a handful of particularly relevant <strong>application areas<\/strong>. \u00a0These are scientific areas where high-impact advances are expected from scientific computing, accelerated by the new and emerging hardware architectures, including:<\/p>\n<ul>\n<li>Computational Physics: \u00a0quantum chromodynamics; high-performance lattice field theory.<\/li>\n<li>Computational Fluid Dynamics: incompressible flows; flow in porous media; variable-viscosity flows.<\/li>\n<li>Computational Earth &amp; Environmental Science: magma dynamics; carbon sequestration.<\/li>\n<li>Computational Biomolecular Science: simulation of large biomolecules.<\/li>\n<\/ul>\n<h2>Syllabus<\/h2>\n<p>The institute included talks, tutorials and hands-on sessions in a computer lab. \u00a0The times allocated are as follows:<\/p>\n<ul>\n<li><em>Lectures<\/em>: 12 sets of lectures, consisting of up to 5 one-hour slots each, for a total of 40h of instruction. \u00a0There were also 2 keynote presentations.<\/li>\n<li><em>Tutorials<\/em>: several tutorial sessions of 1.5\u20133h duration each.<\/li>\n<li><em>Laboratory<\/em>: 3 or 4 open lab sessions for a total of 12h of hands-on instruction<\/li>\n<li><em>Discussion<\/em>: several roundtable discussions.<\/li>\n<\/ul>\n<p><span style=\"line-height: normal; -webkit-border-horizontal-spacing: 2px; -webkit-border-vertical-spacing: 2px; font-size: small;\"><br \/>\n<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scientific Theme of the PASI The focus of this Advanced Studies Institute is on scientific discovery by means of high-performance computing, HPC, \u00a0using the latest many-core computer hardware, in particular graphics processors, or GPUs. The use of GPUs for scientific computing has exploded in the last couple of years, as researchers realize that they can [&hellip;]<\/p>\n","protected":false},"author":3344,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"open","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/pasi\/wp-json\/wp\/v2\/pages\/46"}],"collection":[{"href":"https:\/\/www.bu.edu\/pasi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/pasi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/pasi\/wp-json\/wp\/v2\/users\/3344"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/pasi\/wp-json\/wp\/v2\/comments?post=46"}],"version-history":[{"count":30,"href":"https:\/\/www.bu.edu\/pasi\/wp-json\/wp\/v2\/pages\/46\/revisions"}],"predecessor-version":[{"id":1650,"href":"https:\/\/www.bu.edu\/pasi\/wp-json\/wp\/v2\/pages\/46\/revisions\/1650"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/pasi\/wp-json\/wp\/v2\/media?parent=46"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}