Tag: data
As he approaches retirement, Reagan Moore reflects on SRB, iRODS, and the ongoing challenge of helping scientists manage their data. In 1994, Reagan Moore managed the production computing systems at the San Diego Supercomputer Center (SDSC), a job that entailed running and maintaining huge Cray computing systems as well as networking, archival storage, security, job scheduling, and visualization systems. At the time, research was evolving from analyses done by individuals on single computers into a collaborative activity using distributed, interconnected and heterogeneous resources.
Improving data communication performance in HPC has turned out to be one of the most difficult challenges for system designers. As a result, the topic is getting a lot of attention from academic researchers around the world. Some of that work will be presented at this year’s ISC High Performance conference in Frankfurt, Germany, where Read more…
How can we create more effective treatments for Alzheimer’s? Can we increase food security across the globe? Is there a way to more accurately predict natural disasters? Solutions to these and other critical challenges are being advanced through the sharing and exchange of research data, and the efforts of the Research Data Alliance (RDA). In this Read more…
Sick of big data? Not so fast. The age of the data-centric system has just begun. Tackling this subject in a recent blog is Tilak Agerwala, Vice President of Data Centric Systems at IBM Research. Agerwala observes: “Since the 1950s, the models studied by HPC systems have increased both in scale and in detail with Read more…
The San Diego Supercomputer Center (SDSC) at the University of California, San Diego, has created a new “center of excellence” focused on helping researchers more effectively manage research data. Called Workflows for Data Science Center of Excellence, or WorDS Center for short, the goal is to provide a common resource for the developing and validating Read more…
Corral, the DataDirect Networks storage system installed at the Texas Advanced Computing Center (TACC), recently crossed the one petabyte mark in total data stored, and it now hosts over 100 unique data collections.
Cancer statistics. Medicare fraud. Peanut recalls. Federal government agencies collect data on all types of phenomenon, and just about every piece of data is useful to somebody, somewhere, at some time. More of that data will find its way into the hands of the public and entrepreneurs thanks to the government’s new data sharing mandate, and this month, the government issued new guidelines telling federal agencies how to comply with the mandate.
Cloud computing has made the exchange of information between financial companies and the European community complicated.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/bigdatagraphic_132x.jpg” alt=”” width=”75″ height=”105″ />Big data is all the rage these days. It is the subject of a recent Presidential Initiative, has its own news portal, and, in the guise of Watson, is a game show celebrity. Big data has also caused concern in some circles that it might sap interest and funding from the exascale computing initiative. So, is big data distinct from HPC – or is it just a new aspect of our evolving world of high-performance computing?
There is tech trend that may boost US job numbers and bring more investment to cloud providers.
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