PPT-Education for Warp Speed:

Anticipating the Future WUC and WAAS offer a Postgraduate Course on Future Education IUC Dubrovnik September 2123 2015 By Garry Jacobs CEO World University Consortium Conference on Anticipation Trento Nov 57 2015. Wearable Reference Platform (WaRP) with Standard Daughter Board i.MX 6SoloLiteBased on ARM Goal. Idle thread. Active thread. Compaction. Compact threads in a warp to coalesce (and eliminate) idle cycles .  improve utilization. References. V. . Narasiman. , et. al., “Improving GPU Performance via Large Warps and Two-Level Scheduling,” MICRO 2011. to Improve GPGPU Performance. Rachata. . Ausavarungnirun. Saugata. . Ghose, . Onur. . Kayiran, Gabriel H. . Loh. . Chita . Das, . Mahmut. . Kandemir. , . Onur. . Mutlu. Overview of This Talk. Problem: . WUC and WAAS offer a Post-graduate Course on. Future Education. IUC, Dubrovnik, September 21-23, 2015. By Garry . Jacobs . CEO. , World University Consortium. Education abridges time. EDUCATION. . ACCELERATES. Graphics Processing Unit (GPU). GPU is the . chip . in computer video cards, PS3, Xbox, . etc. Designed to realize the 3D graphics pipeline. Application .  Geometry  Rasterizer image. GPU development:. Goal. Idle thread. Active thread. Compaction. Compact threads in a warp to coalesce (and eliminate) idle cycles .  improve utilization. References. V. . Narasiman. , et. al., “Improving GPU Performance via Large Warps and Two-Level Scheduling,” MICRO 2011. Chris Carothers. Justin LaPre. RPI. {chrisc, laprej}@cs.rpi.edu. Peter Barnes. David Jefferson. LLNL. {barnes26, jefferson6}@llnl.gov. Outline. Motivation. Blue Gene/Q. CCNI. LLNL’s Sequoia. ROSS Implementation. EXTRA WARP/WEFT. Extra warp or weft (supplementary warp/weft).  . A class of weave in which extra warp of weft threads are used in addition to ground threads. The extra threads are normally used as figuring threads for decorative purposes.. Loose Round Robin (LRR). Goes around to every warp . and issue if ready (R). If warp is not ready (W), . skip and issue next ready warp. Issue: Warps all run at the same speed,. potentially all reaching memory access. Why is GPU in the picture. Seeking . exa. -scale computing platform. Minimize . power per operation.. Power is directly correlated to the area in the processing chips.. Regular CPU. . – what are the chip areas going into?. Value . Similarity . Daniel Wong. †. , Nam Sung Kim. ‡. , . Murali. . Annavaram. ¥. †. University of California, Riverside. dwong@ece.ucr.edu. ‡. University of Illinois, Urbana-. Champagin. © 2015 Pearson Education, Inc.. Velocity and Speed. Speed measures only how fast an object moves, but velocity tells us both an object’s speed . and its direction. .. The . velocity defined by Equation 1.2 is called the . Characterization. , . Impact. , and . Mitigation. Ping Xiang. ,. . Yi Yang,. . Huiyang. . Zhou. 1. The 20th IEEE International Symposium On High Performance Computer Architecture. , Orlando, Florida, . Goes around to every warp . and issue if ready (R). If warp is not ready (W), . skip and issue next ready warp. Issue: Warps all run at the same speed,. potentially all reaching memory access. phase together and stalling..