PPT-A Framework for Tracking Memory Accesses in Scientific Appl

Antonio J Peña Pavan Balaji Argonne National Laboratory Argonne National Laboratory apenyaanlgov balajianlgov Motivation Profiling is of great assistance in understanding and optimizing apps . Sci Dept Uni ersity of isconsin bgogulreps cswiscedu Abstract This paper concerns staticanalysis algorithms for analyzing x86 ecutables The aim of the ork is to reco er intermediate representations that are similar to those that can be created for p gatechedu Tim Leek MIT Lincoln Laboratory tleekllmitedu Josh Hodosh MIT Lincoln Laboratory joshhodoshllmitedu Wenke Lee Georgia Tech wenkeccgatechedu ABSTRACT The ability to introspect into the behavior of software at runtime is crucial for many secu Instructor Notes. This lecture begins with an example of how a wide-memory bus is utilized in . GPUs. The impact of memory coalescing and memory bank conflicts are also described along with examples on current hardware. Lecture . 5: Memory. Today. GPU Memory Overview. CUDA Memory Syntax. Tips and tricks for memory handling. Memory Overview. Very slow access:. Between host and device. Slow access:. Global Memory. Fast access:. Lecture . 5: Memory. Today. GPU Memory Overview. CUDA Memory Syntax. Tips and tricks for memory handling. Memory Overview. Very slow access:. Between host and device. Slow access:. Global Memory. Fast access:. Antonio J. . Peña . . . Pavan. . Balaji. Argonne National . Laboratory Argonne National Laboratory. apenya@anl.gov. . balaji@anl.gov. . Motivation. Profiling is of great assistance in understanding and optimizing apps’ . SharePoint Saturday Sacramento. 11/05/2016. Ryan Schouten. Worked with SharePoint for > 9 years. I have experience with SharePoint 2003 – 2016. I have worked with . ASP.Net. for 15 years. MCPD, MCT, MCSE: SharePoint, MCSA: Office 365. S. anketh. Nalli. , Swapnil . Haria. , . Michael . M. . Swift. , . Mark D. Hill, H. aris. Volos*, Kimberly Keeton*. University of Wisconsin-Madison &. *Hewlett-Packard . Labs. Facilitate better system support for Persistent . for . Multicore. and Data-Intensive Applications. . Xiaodong. . Zhang. . Ohio State . University. In collaboration with. . F. Chen,. . X. Ding. ,. Q. Lu, P. Sadayappan, . Ohio State. S. . Jiang, . High Performance Computing . for Engineering Applications. “Once a new technology rolls over you, if you're . not. . part of the steamroller, you're part of the road. .” . Stewart Brand. © Dan Negrut, . ): Let Hard Disks Sleep Well and Work Energetically. Feng. Chen and . Xiaodong. Zhang. Dept. of Computer Science and Engineering. The Ohio State University. Power Management . in . Hard Disk . Power management . S. anketh. Nalli. , Swapnil . Haria. , . Michael . M. . Swift. , . Mark D. Hill, H. aris. Volos*, Kimberly Keeton*. University of Wisconsin-Madison &. *Hewlett-Packard . Labs. Facilitate better system support for Persistent . Antonio J. . Peña . . . Pavan. . Balaji. Argonne National . Laboratory Argonne National Laboratory. apenya@anl.gov. . balaji@anl.gov. . Motivation. Profiling is of great assistance in understanding and optimizing apps’ . A Framework for Tracking Memory Accesses in Scientific Applications Antonio J. Peña Pavan Balaji Argonne National Laboratory Argonne National Laboratory apenya@anl.gov