PPT-A Framework for Tracking Memory Accesses in Scientific Applications

A Framework for Tracking Memory Accesses in Scientific Applications Antonio J Peña Pavan Balaji Argonne National Laboratory Argonne National Laboratory apenyaanlgov. 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 INTRODUCTION. A . solar tracker.  is a device that orients a payload toward the sun. .. Payloads . can be photovoltaic panels, reflectors, lenses or other optical devices. .. In concentrated photovoltaic (CPV. 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:. 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’ . 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’ . 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 . Presented By. Shefali. . Gundecha. Srinivas . Narne. Yash. Kulkarni. Papers to be discussed…. Y. Shan, B. Wang, J. Yan, Y. Wang, N. Xu, and H. Yang, . " FPMR: MapReduce Framework on FPGA: A Case Study of . 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, . ): 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’ .