PPT-Orchestrated Scheduling and Prefetching for GPGPUs

Author : giovanna-bartolotta | Published Date : 2016-11-26

Adwait Jog Onur Kayiran Asit Mishra Mahmut Kandemir Onur Mutlu Ravi Iyer Chita Das Multithreading Caching Prefetching Main Memory Improve Replacement Policies

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Orchestrated Scheduling and Prefetching for GPGPUs: Transcript

Adwait Jog Onur Kayiran Asit Mishra Mahmut Kandemir Onur Mutlu Ravi Iyer Chita Das Multithreading Caching Prefetching Main Memory Improve Replacement Policies Parallelize your code. se Abstract Global 64257xedpriority scheduling of constrained deadline sporadic tasks systems is important not only for CPU scheduling but also in other domains for example scheduling realtime 64258ows in WirelessHART networks designed for industrial . . Ellidiss. Technologies, France . University of Brest/UBO, Lab-STICC/UMR 6285, France. . 2. /18. Talk overview. Cheddar project : context and motivations . Research . Roadmap. . 3. /17. About scheduling analysis and its use . Main-Memory Workloads. Iraklis. . Psaroudakis. (EPFL). , Tobias Scheuer (SAP AG), Norman May (SAP AG), Anastasia Ailamaki (EPFL). 1. Scheduling for high concurrency. 2. Queries >> H/W contexts. Tomofumi Yuki . . INRIA . Rennes. Antoine . Morvan. . . ENS . Cachan. Bretagne. Steven . Derrien. . University of Rennes 1. Memory Optimizations. Memory Wall. Stephen Dombroski – Sr. Mgr. Marketing - Manufacturing Industries, QAD. Jason Scott – Partner, MPS Associates. MWUG. Spring2013. Tools for the Planning and Scheduling process. How do these tools work together?. OVERVIEW. Room Scheduling System. (How to find a GPC and schedule it!). Review . Policies. Login to . Room Scheduling System. Learn . 3 . types of searches. Demonstration . Tips. Q&A. Agenda. Sara Cheatham • Stephanie Gonzales • Michael Lee . Enhancement . for Accurate Stream Prefetching. Gang Liu. 1. , . Zhuo. Huang. 1. , . Jih. -Kwon Peir. 1. , . Xudong. Shi. 2. , Lu Peng. 3. 1. University of Florida . 2. Google Inc. 3. Louisiana . State . Multi-core Processors. Dawei Li . and Jie . Wu. Department of Computer and Information Sciences. Temple University, Philadelphia, . USA. The 43. rd. International . C. onference on Parallel . P. rocessing. University of Virginia. April . 26, . 2016. COMPUTER ARCHITECTURE . CS 6354. Prefetching. The content and concept of this course are adapted from CMU ECE 740. AGENDA. Logistics. Review . from last . lecture. Smruti. R. Sarangi. Data Prefetching. Instead of . instructions . let us now . prefetch. . data. Important distinction. Instructions. are fetched into the in-order part of the OOO pipeline. Data. is fetched into the OOO pipeline. . Smruti. R. . Sarangi. Contents. Motivation for Prefetching. Simple Schemes. Recent Work. Proactive Instruction Fetching. Return Address Stack Directed Prefetching. Pentium 4 Trace Cache. 1. Chapter 10. Multiprocessor and. Real-Time Scheduling. BYU CS 345. Chapter 10 - Multiprocessor and Read-Time Scheduling. 2. Classifications of Multiprocessors. Loosely coupled multiprocessor.. each processor has its own memory and I/O channels. . 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:. WHAT IS THE SCHEDULING GRID?. Used to schedule classes according to fixed patterns. Regular patterns help with room usage and ease of student course scheduling. Built into our scheduling software (IMS, CSS, and .

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