PPT-ECE/CS 757: Advanced Computer Architecture II Massively Parallel Processors

Massively Parallel Processors InstructorMikko H Lipasti Spring 2017 University of WisconsinMadison Lecture notes based on slides created by John Shen Mark Hill David Wood Guri Sohi. 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.. vs. Sequential Algorithms. Design of efficient algorithms. A parallel computer is of little use unless efficient parallel algorithms are available.. The issue in designing parallel algorithms are very different from those in designing their sequential counterparts.. Goals for Rest of Course. Learn how to program massively parallel processors and achieve. high performance. functionality and maintainability. scalability across future generations. Acquire technical knowledge required to achieve the above goals. CUDA Lecture 1. Introduction to Massively Parallel Computing. A quiet revolution and potential buildup. Computation: TFLOPs . vs. . 100 GFLOPs. CPU in every PC – massive volume and potential impact. . 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 . Improving Computer Performance. What performance translates into:. Time taken to do computation. Improving performance . → reducing time taken. What key benefits improving performance can bring:. Can solve “now-computationally-attainable” problems in . . 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 . Computing. Jie Liu. , . Ph.D.. Professor. Computer Science Division. Western Oregon University. Monmouth, Oregon, USA. liuj@wou.edu. outline. The . fastest computers. The PRAM model. The O(1) algorithm that finds the max. Lecture 19. Summary. Benjamin Lee. Electrical and Computer Engineering. Duke University. www.duke.edu/~bcl15. www.duke.edu/~bcl15/class/class_ece252fall11.html. ECE 252 / CPS 220. 2. ECE252 . Administrivia. 2/8/2018. Introduction to Advanced Processors. 1. Outline . Features. Internal Architecture of 80286. Interrupts of . 80286. Signal Description of . 80286. Real And Protected Mode. Instruction set. 2/8/2018. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand 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. Performance of Computer System. Various factors. Depends on. Scalability: . Computer Performance . Number of processors used. Measuring performance of parallel computer architecture for large-scale applications require very good understanding of...