[Back to RI Seminar Schedule]

This page is provided for historical and archival purposes only. While the seminar dates are correct, we offer no guarantee of informational accuracy or link validity. Contact information for the speakers, hosts and seminar committee are certainly out of date.

RI Seminar -- Jon Webb


Parallel image processing for robotics applications differs in a fundamental way from parallel scientific computing applications: the problem size is fixed, and latency requirements are tight. This brings Amdhal's law in effect with full force, so that message-passing latency and bandwidth severely restrict performance. This has led to common design characteristics in machines for robotics image processing, which I will discuss. I will examine an application from robotics vision, stereo image processing, which has been implemented in Adapt, a niche language for parallel image processing implemented on the Carnegie Mellon-Intel Corporation iWarp. High performance has been achieved for this application. I will show how a I/O building block approach on iWarp achieved this, and then examine the implications of this performance for more traditional machines that do not have iWarp's rich I/O primitive set.

Christopher Lee | chrislee@ri.cmu.edu
Last modified: Thu Oct 13 18:24:38 1994