CSC/ECE 506 Fall 2007/wiki1 2 sk

Section 1.1.1, second half: Commercial application trend

• What characterizes present-day applications?
• How much memory, processor time, etc.?
• How high is the speedup?

Multiprocessing has been an active research area for almost 40 years and commercial parallel computers have been available for more than 35 years. After getting off to a slow start, this area has now taken off. Shared memory multiprocessors have dominated this development. This is an area that has sprung out of tireless research and numerous published breakthrough results.

Applications in Engineering and Design � Design of airfoils (optimizing lift, drag, stability), internal combustion engines (optimizing charge distribution, burn), high-speed circuits (layouts for delays and capacitive and inductive effects), and structures (optimizing structural integrity, design parameters, cost, etc.). � Design and simulation of micro- and nano-scale systems. � Process optimization, operations research

Commercial Applications � Some of the largest parallel computers power the wall street! � Data mining and analysis for optimizing business and marketing decisions. � Large scale servers (mail and web servers) are often implemented using parallel platforms. � Applications such as information retrieval and search are typically powered by large clusters.

Applications in Computer Systems � Network intrusion detection, cryptography,multiparty computations are some of the core users of parallel computing techniques. � Embedded systems increasingly rely on distributed control algorithms. � A modern automobile consists of tens of processors communicating to perform complex tasks for optimizing handling and performance. � Conventional structured peer-to-peer networks impose overlay networks and utilize algorithms directly from parallel computing.

   *

     chart