PPT-Locality-Centric Thread Scheduling for

Author : kittie-lecroy | Published Date : 2017-12-29

Bulksynchronous Programming Models on CPU Architectures HeeSeok Kim Izzat El Hajj John Stratton Steven Lumetta and Wenmei Hwu CPU Intel AMD PowerPC GPU NVIDIA

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Locality-Centric Thread Scheduling for: Transcript

Bulksynchronous Programming Models on CPU Architectures HeeSeok Kim Izzat El Hajj John Stratton Steven Lumetta and Wenmei Hwu CPU Intel AMD PowerPC GPU NVIDIA AMD Imagination ARM. edu Dhruba Borthakur Facebook Inc dhrubafacebookcom Joydeep Sen Sarma Facebook Inc jssarmafacebookcom Khaled Elmeleegy Yahoo Research khaledyahooinccom Scott Shenker University of California Berkeley shenkercsberkeleyedu Ion Stoica University of Cali edu Dhruba Borthakur Facebook Inc dhrubafacebookcom Joydeep Sen Sarma Facebook Inc jssarmafacebookcom Khaled Elmeleegy Yahoo Research khaledyahooinccom Scott Shenker University of California Berkeley shenkercsberkeleyedu Ion Stoica University of Cali Chapter 5: CPU Scheduling. Basic Concepts. Scheduling Criteria . Scheduling Algorithms. Thread Scheduling. Multiple-Processor Scheduling. Operating Systems Examples. Algorithm Evaluation. Objectives. ExaScale. . Challenges and Potential Solutions. Bill Dally. Chief Scientist, . NVIDIA. Bell Professor of Engineering, Stanford University. Two Key Challenges. Programmability. Writing an efficient parallel program is hard. Zhenhua . Guo. , Geoffrey Fox, Mo Zhou. Outline. Introduction. Analysis of Data Locality. Optimality of Data Locality. Experiments. Conclusions. MapReduce Execution Overview. 3. Google File System. Read input data. CS . 355. Operating Systems. Dr. Matthew Wright. Operating System Concepts. chapter 5. Basic Concepts. Process execution consists of a . cycle. of CPU execution and I/O . wait.. Typical CPU Burst Distribution. T. Rogers, M O’Conner, and T. . Aamodt. MICRO 2012. Goal. Understand the relationship between schedulers (warp/wavefront) and locality behaviors . Distinguish between inter-wavefront and intra-wavefront locality. Overview. Thread scheduling. Thread and context switch. Thread creation and termination. Kernel threads vs. user threads. 2. Overview of Threads. A thread is . an independent stream . of . instructions. Jeff Chase. Duke University. Recap: threads on the metal. An OS implements . synchronization objects . using a combination of elements:. Basic . sleep. /. wakeup. primitives of some form.. Sleep. places the thread TCB on a . Zhenhua . Guo. , Geoffrey Fox, Mo Zhou. Outline. Introduction. Analysis of Data Locality. Optimality of Data Locality. Experiments. Conclusions. MapReduce Execution Overview. 3. Google File System. Read input data. T. Rogers, M O’Conner, and T. . Aamodt. MICRO 2012. Goal. Understand the relationship between schedulers (warp/wavefront) and locality behaviors . Distinguish between inter-wavefront and intra-wavefront locality. Chapter 6: CPU Scheduling. Basic Concepts. Scheduling Criteria . Scheduling Algorithms. Thread Scheduling. Multiple-Processor Scheduling. Real-Time CPU Scheduling . (Skip). Operating Systems Examples. Young-. Suk. Moon, . Yongkee. Kwon, Hong-. Sik. Kim,. Dong-gun Kim, . Hyungdong. Hayden Lee, and . Kunwoo. Park. Introduction. The cost of read-to-write switching is . high. The timing overhead of the row conflict is . Yoongu. Kim. Dongsu. Han. Onur Mutlu. Mor. . Harchol-Balter. Motivation. Modern multi-core systems . employ multiple memory controllers. Applications contend . with . each other in multiple controllers.

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