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.
Shared Memory Optimization in Virtualized Cloud
IEEE 8th International Conference on Cloud Computing, New York, NY, June 27 -
July 2 2015.
Qi Zhang, Ling Liu
Georgia Institutue of Technology
Shared memory management is widely recognized as an optimization technique in the virtualized cloud. Most current shared memory techniques allocate shared memory resources from guest VMs based on pre-defined system configurations. Such static management of shared memory not only increases the VM memory pressure, but also limits the flexibility to balance the shared memory resources across multiple VMs running on a single host. In this paper, we present a dynamic shared memory management framework which enables multiple VMs to dynamically access the shared memory resource according to their demands. We illustrate our system design through two case studies: one aims at improving the performance of inter-domain communication while the other aims at improving VM memory swapping efficiency. We demonstrate that the dynamic shared memory mechanism not only improves the utilization of shared memory resources but also significantly enhances the performance of VM applications. Our experimental results show that by using dynamic shared memory management, we can improve the performance of inter-VM communication by up to 45 times, while mitigating the VM memory swapping overhead by up to 58%.
FULL PAPER: pdf