We address how to write programs for distributed computing systems in which the network topology can change dynamically. Examples of such systems, which we call ensembles, include ...
Michael P. Ashley-Rollman, Peter Lee, Seth Copen G...
Stream processing applications such as algorithmic trading, MPEG processing, and web content analysis are ubiquitous and essential to business and entertainment. Language designers...
Desktop distributed computing allows companies to exploit the idle cycles on pervasive desktop PC systems to increase the available computing power by orders of magnitude (10x - 1...
The computing landscape is shifting towards mobile devices. To learn about operating systems, it is increasingly important for students to gain hands-on kernel programming experie...
Shared memory in a parallel computer provides prowith the valuable abstraction of a shared address space--through which any part of a computation can access any datum. Although un...