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.
A chat with Paul Rejto, head of Computational Biology at Pfizer Oncology.
Tahoe Informatics founder eyes GPUs, CUDA software.
As high performance computing vendors polish their server and workstation portfolios with the latest multicore CPU and GPGPU wonders, Pico Computing is quietly making inroads into the HPC application space with its FPGA-based platforms. By picking the spots where reconfigurable computing makes the most sense, the company is looking to leverage its scalable FPGA technology to greatest effect.
A bioinformatics scientist looks beyond the Linux cluster.
NVIDIA has announced the Tesla Bio Workbench, a new program designed to bring together the computational components needed to run GPU-accelerated bioscience applications. The rationale is the same one NVIDIA’s been touting ever since it got into the high performance computing business: take advantage of the superior performance of the GPU in order to lower the entry point for HPC.