PPT-Introduction To CPU

Central Processing UnitCPU Components of the CPU Actions Performed by CPU CPU REGISTERS MOTHER BOARD CONROL UNITCU ARITHMETIC AND LOGIC UNITALU CONTENT The part of the computer performs the bulk of data processing operations is called the central processing unit. Avg Access Time 2 Tokens Number of Controllers Average Access Time clock cyles brPage 16br Number of Tokens vs Avg Access Time 9 Controllers Number of Tokens Average Access Time clock cycles brPage 17br brPage 18br Chapter 5: CPU Scheduling. Basic Concepts. Scheduling Criteria . Scheduling Algorithms. Thread Scheduling. Multiple-Processor Scheduling. Operating Systems Examples. Algorithm Evaluation. Objectives. Computing Platform. Publication:. Ra . Inta. , David J. Bowman, and Susan M. Scott. . Int. J. . Reconfig. . . Comput. . 2012, . Article . 2 (January 2012), 1 pages. . DOI=10.1155/2012/241439.  . Naveen R. Iyer Kowshick . on Heterogeneous . Architectures. Jin . Wang. †. , Norman Rubin. ‡*. , . Haicheng. Wu. †. , . Sudhakar. . Yalamanchili. †. † Georgia Institute of Technology. ‡ . AMD. * The author is now affiliated with NVIDIA Research. Single-chip Heterogeneous Processors. Euijin Kwon. 1,2. Jae Young Jang. 2. Jae W. Lee. 2. Nam Sung Kim. 2,3. 1. 2. 3. Single-chip heterogeneous processors. 2. Compared to systems based on discrete components. Vance Morrison. Performance Architect. Microsoft Corporation. Along the way. A Little Theory. Pitfalls to avoid. Tricks of the trade. Overview: H. o. w to . Measure. Low . Tech: Stopwatch. Medium Tech: . CS 3100 CPU Scheduling. 1. Objectives. To introduce CPU scheduling, which is the basis for . multiprogrammed. operating systems. To describe various CPU-scheduling algorithms. To discuss evaluation criteria for selecting a CPU-scheduling algorithm for a particular system. Patrick Cozzi. University of Pennsylvania. CIS 565 - Fall 2014. Acknowledgements. CPU slides – Varun Sampath, NVIDIA. GPU . slides. Kayvon . Fatahalian. , CMU. Mike Houston, . NVIDIA. CPU and GPU Trends. Introduction to Programming Massively Parallel Graphics processors. Andreas . Moshovos. moshovos@eecg.toronto.edu. ECE, Univ. of Toronto. Summer 2010. Some slides/material from:. UIUC course by . Wen. A computer is a machine that is used to store and process data electronically. Computer Definition. Hardware. Pieces . of equipment that make up a computer system. . These . are the parts you can touch (although many parts are contained within the computer’s case). .  . Donghyuk Lee. Lavanya. . Subramanian, . Rachata. . Ausavarungnirun. , . Jongmoo. Choi. , . Onur. . Mutlu. Decoupled Direct Memory Access. processor. Logical System Organization. m. ain memory. Hui. Li. Geoffrey Fox. Research Goal. provide . a uniform . MapReduce programming . model that works . on HPC . Clusters or . Virtual Clusters cores . on traditional Intel architecture chip, cores on . の. ネットワーク. 情報ネットワーク特論. 南里　豪志. （九州大学情報基盤研究開発センター）. 1. 今日の講義内容. スーパー. コンピュータ. とは. どうやって計算機を速くするか. Cooperative Computing. Di Wu, Fan Zhang, . Naiyong. . Ao. , Gang Wang, . Xiaoguang. Liu, Jing Liu. Nankai. -Baidu Joint Lab, . Nankai. University. Introduction. Cooperative Model. GPU Batching Algorithm.