A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is
Modern parallel computing hardware demands increasingly specialized attention to the details of scheduling and load balancing across heterogeneous execution resources that may include GPU and cloud environments, in addition to traditional CPUs. Many existing solutions address the challenges of particular resources, but do so in isolation, and in general do not compose within larger systems. We propose a general, composable abstraction for execution resources, along with a continuation-baseddoi:10.1145/2364527.2364562 dblp:conf/icfp/FoltzerKSSJN12 fatcat:3huj55wmdrb4bnlsdsuuvthkdu