PPT-Parallel computer architecture classification

Hardware Parallelism Computing execute instructions that operate on data Flynns taxonomy Michael Flynn 1967 classifies computer architectures based on the number of instructions that can be executed and how they operate on data. Unlike sequential algorithms parallel algorithms cannot be analyzed very well in isolation One of our primary measures of goodness of a parallel system will be its scalability Scalability is the ability of a parallel system to take advantage of incr . Computer Architecture and Design. Fall 2009 . Zhao . Lixing. A . supercomputer. is a computer that is at the frontline of current processing capacity, particularly speed of calculation. . Supercomputers were introduced in the 1960s and were designed primarily by . Processor . Architecture . Types. Memory . Access . Architectures. Shared . Memory . Model & the . Mutex. Lecturer:. Simon Winberg. Digital Systems. EEE4084F. Attribution-. ShareAlike. 4.0 International (CC BY-SA 4.0). What is Multiprocessing?. Enables several programs to run concurrently. Coordinated processing of Programs by more than one processor. Use of 2 or more CPUs within a single computer system. Ability of a system to support more than one processor and to allocate tasks between them. . Computer Architecture and Design. Fall 2009 . Zhao . Lixing. A . supercomputer. is a computer that is at the frontline of current processing capacity, particularly speed of calculation. . Supercomputers were introduced in the 1960s and were designed primarily by . Sequential Circuits. Ralph Grishman. September 2015. NYU. Time and Frequency. time = 1 / frequency. frequency = 1 / time. units of time. millisecond = 10. -3. second. microsecond = 10. -6. second. nanosecond = 10. Justin Y. Shi | . shi@temple.edu. Temple University. reproducibility@XSEDE. | An . XSEDE14 . Workshop | July . 14, . 2014 | Atlanta. , GA. Why . Decoupling. can . I. mprove . P. rogram Reproducibility?. Pipelining. Instruction Pipeline. Pipeline Hazards and their solution. Array and Vector Processing. Pipelining and Vector Processing. Parallel Processing. It refers to techniques that are used to provide simultaneous data processing.. Parallel Processing, Multicores. Prof. Gennady . Pekhimenko. University of Toronto. Fall 2017. The content of this lecture is adapted from the lectures of . Onur. . Mutlu. @ CMU. Summary . Parallelism. Introduction. Khaled N. Khasawneh, PhD Student. Department of Computer Science and Engineering. kkhas001@ucr.edu. Welcome!. 2. About me. Born and raised in . Jordan. Jordan University of Science & Technology, Jordan. CS 152 Computer Architecture and Engineering CS252 Graduate Computer Architecture Lecture 1 - Introduction Krste Asanovic Electrical Engineering and Computer Sciences University of California at Berkeley Patrick Cozzi. University of Pennsylvania. CIS 565 - Fall 2014. Lectures. Monday. 6-9pm. Moore 212. Fall. and . Spring. 2012 lectures were recorded. Attendance is required for guest lectures. Image from . Prof. . Smruti. R. . Sarangi. IIT Delhi. 1. What is computer architecture? . The study of computer processors and computer systems. 2. What does a computer do? . Almost everything: . . Financial calculations. Fall 2015. Lars Ailo Bongo (larsab@cs.uit.no). Course topics. Parallel programming. The parallelization process. Optimization of parallel programs. Performance analysis. Data-intensive computing. Parallel programs.