PPT-18-742 Fall 2012 Parallel Computer Architecture

Lecture 7 Emerging Memory Technologies Prof Onur Mutlu Carnegie Mellon University 9212012 Reminder Review Assignments Due Friday September 21 1159pm Smith Architecture and applications of the HEP multiprocessor computer system. 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 Hardware Parallelism. Computing: execute instructions that operate on data.. Flynn’s . taxonomy (Michael Flynn, 1967) classifies computer architectures based on the number of instructions that can be executed and how they operate on data.. SYSC 5704: Elements of Computer Systems. 1. SYSC 5704. Elements of Computer Systems. Course . Introduction. www.sce.carleton.ca/courses/sysc-5704. Fall 2012. SYSC 5704: Elements of Computer Systems. 2. SYSC 5704: Elements of Computer Systems. 1. MicroArchitecture. Murdocca, Chapter 5 (selected parts). How to read Chapter 5. Objectives. How the control unit of the CPU works.. Microcode. Nanocode. Hardwired control.. Instructor. Office Times: W, 3-5 pm . Laxmi. . Narayan. . Bhuyan. . Office: . Engg.II. Room 351 . E-mail: bhuyan@cs.ucr.edu . Tel: (951) . 827-2244 .  . TA: Li Yan. Office Hours: Tuesday 1-3 pm. 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). Programming & Cluster Computing. Applications and. Types of Parallelism. Joshua Alexander, U Oklahoma. Ivan . Babic. , Earlham College. Michial. Green, Contra Costa College. Mobeen. . Ludin. , Earlham College. 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?. 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. 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 . Patrick Cozzi. University of Pennsylvania. CIS 565 - Fall 2013. Lectures. Monday and Wednesday. 6-7:30pm. Towne . 307. Fall. and . Spring. 2012 lectures were recorded. Attendance is required for guest lectures. 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.