Reducing the Energy Cost of Computing through Efficient Co-Scheduling of Parallel Workloads

Download Now
Provided by: European Design and Automation Association
Topic: Hardware
Format: PDF
Future computing clusters will prevalently run parallel workloads to take advantage of the increasing number of cores on chips. In tandem, there is a growing need to reduce energy consumption of computing. One promising method for improving energy efficiency is co-scheduling applications on compute nodes. Efficient consolidation for parallel workloads is a challenging task as a number of factors, such as scalability, inter-thread communication patterns, or memory access frequency of the applications affect the energy/performance tradeoffs.
Download Now

Find By Topic