<img src=”http://media2.hpcwire.com/hpccloud/cloud_graphic_150x.jpg” alt=”” width=”94″ height=”81″ />Our top HPC cloud research story this week lays out a lightweight approach to implementing virtual machine monitors. Other items explore an innovative parallel cloud storage system, HPC-to-cloud migration, anywhere-anytime cluster monitoring, and a framework for cloud storage.
<img src=”http://media2.hpcwire.com/hpcwire/Cloud_Storage_and_Bioinformatics_in_a_private_cloud_Fig._3_150x.png” alt=”” width=”95″ height=”95″ />The top research stories of the week include an evaluation of sparse matrix multiplication performance on Xeon Phi versus four other architectures; a survey of HPC energy efficiency; performance modeling of OpenMP, MPI and hybrid scientific applications using weak scaling; an exploration of anywhere, anytime cluster monitoring; and a framework for data-intensive cloud storage.
Computational biologists tweak PageRank to correlate protein markers with disease progression.
During the second annual Pistoia Alliance conference, three teams demonstrated their newly-implemented cloud-based next-generation sequencing platforms.
Cycle Computing has proclaimed the winner of the 2011 CycleCloud BigScience Challenge. Victor Ruotti, a computational biologist at the Morgridge Institute for Research, will receive $10,000 in credit from Cycle Computing and four hours of CycleCloud engineering support, plus an additional $2,500 in credit from Amazon Web Services. The award will be used for cutting-edge stem cell research.
The latest DNA sequencers can map a human genome in a single day, but useful analysis of the results will still be a bottleneck.
The data deluge of sequenced DNA is overwhelming scientists who want to make sense of all of it.
It’s been a little over a year since Nimbix announced the initial beta launch of its Nimbix Accelerated Compute Cloud (NACC). During the SC11 show in Seattle last week, HPC in the Cloud sat down with Nimbix Co-Founder and CEO Steve Hebert to find out where the company fits in with the small-but-growing stable of cloud providers who specialize in supporting HPC workloads.
A recent project at the Ohio State University sought to remove key barriers to effective, timely bioinformatics research via a cloud project designed to cull and ‘translate’ data for more rapid analysis and use.
Last week at their eScience Workshop at the University of California, Berkeley Microsoft Research announced two key technological progress points related to their Azure cloud. The advancements are currently serving researchers in ecological studies as well as biology and further demonstrate the potential of their cloud offering in further scientific computing projects.