Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
Another list highlighting Open Source Software Releases.
Second GraphLab workshop should be even bigger than the first! GraphLab is a new programming framework for graph-style data analytics.
A Hidden Cost of Virtualization when Scaling Multicore Applications
5th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud'13), June 2013.
Xiaoning Ding, Michael A. Kozuch*, Phillip B. Gibbons*
New Jersey Institute of Technology
As the number of cores in a multicore node increases in accordance with Moore’s law, the question arises as to whether there are any “hidden” costs of a cloud’s virtualized environment when scaling applications to take advantage of larger core counts. This paper identifies one such cost, resulting in up to a 583% slowdown as the multicore application is scaled. Surprisingly, these slowdowns arise even when the application’s VM has dedicated use of the underlying physical hardware and does not use emulated resources. Our preliminary findings indicate that the source of the slowdowns is the intervention from the VMM during synchronization-induced idling in the application, guest OS, or supporting libraries. We survey several possible mitigations, and report preliminary findings on the use of "idleness consolidation” and "IPI-free wakeup” as a partial mitigation.
FULL PAPER: pdf