At UCLA's Plasma Physics Group, to achieve accessible computational power for our research goals, we developed the tools to build numerically intensive parallel computing clusters on the Macintosh platform. Our technology maximizes productivity because it is designed to allow the user, without expertise in the operating system, to most efficiently develop and run parallel code, enabling the most effective advancement of scientific research. Collaborating with USC and NASA's JPL, our team has demonstrated the performance and scalability potential of Mac clusters by achieving over 217 Gigaflops on 33 XServes and over 233 Gigaflops on 76 Power Mac G4s. but we find that the usability as its performance. The ongoing dessimination of OS X, a Unix-based Mac OS, is providing the best tools of the Mac and Unix in one computing solution. With this development, Mac clustering is becoming the technology that will move parallel computing into the mainstream. See http://exodus.physics.ucla.edu/appleseed/ and http://daugerresearch.com/.

At UCLA's Plasma Physics Group, we have been successful in building and using a numerically-intensive parallel computing cluster using Power Macintosh hardware and the Macintosh Operating System. Our solution makes the problem of building and operating a parallel computer far easier than using other technologies, allowing the user, without expertise in the operating system, to efficiently develop and run parallel code. That advantage enables the user to most effectively advance scientific research. At the same time, by achieving over 20 Gigaflops on 16 400-MHz G4s, our team has proved the computational potential of the underlying PowerPC hardware. The ongoing widespread deployment of OS X, a Unix-based Mac OS, will provide scientists access to the best tools of the Mac and Unix in one computing solution. In the midst of this development, clustering Macs is poised to become a technology that will move parallel computing into the mainstream. For details: http://exodus.physics.ucla.edu/appleseed/

Article An object-oriented parallel particle-in-cell code for beam dynamics simulation in linear accelerators Share on Authors: J. Qiang LANL, Los Alamos, NM LANL, Los Alamos, NMView Profile , R. D. Ryne LANL, Los Alamos, NM LANL, Los Alamos, NMView Profile , S. Habib LANL, Los Alamos, NM LANL, Los Alamos, NMView Profile , V. Decyk UCLA, Los Angeles, CA UCLA, Los Angeles, CAView Profile Authors Info & Claims SC '99: Proceedings of the 1999 ACM/IEEE conference on SupercomputingJanuary 1999 Pages 55–eshttps://doi.org/10.1145/331532.331587Online:01 January 1999Publication History 4citation551DownloadsMetricsTotal Citations4Total Downloads551Last 12 Months3Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access