PPT-A Framework for Tracking Memory Accesses in Scientific Applications

Author : tatiana-dople | Published Date : 2019-01-31

Antonio J Peña Pavan Balaji Argonne National Laboratory Argonne National Laboratory apenyaanlgov balajianlgov Motivation Profiling is of great assistance

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A Framework for Tracking Memory Accesses in Scientific Applications: Transcript


Antonio J Peña Pavan Balaji Argonne National Laboratory Argonne National Laboratory apenyaanlgov balajianlgov Motivation Profiling is of great assistance in understanding and optimizing apps . 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:. S. anketh. . Nalli. , Swapnil . Haria. Michael . M. . Swift. , Mark D. Hill. H. aris. Volos*, Kimberly Keeton*. University of Wisconsin-Madison &. *Hewlett-Packard . Labs . (HP. L. ). WHISPER. Facilitate better system support for Persistent . Landon Cox. April . 5, . 2017. Making disk accesses tolerable. Basic idea. Remove disk accesses from critical path. Transform disk latencies into memory latencies. Requires predicting the future. Caching. 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, . 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, . A Framework for Tracking Memory Accesses in Scientific Applications Antonio J. Peña Pavan Balaji Argonne National Laboratory Argonne National Laboratory apenya@anl.gov . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. Asset tracking is important for everyone. If you can monitor your assets then you
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