Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.

Archive for May 29th, 2012


21st Century Computer Architecture

May 29th, 2012 / in big science, CCC, research horizons / by Erwin Gianchandani

In April, the Computing Community Consortium (CCC) commissioned members of the computer architecture research community to generate a short report to help guide strategic thinking in this space.  The effort aimed to complement and synthesize other recent documents, including the CCC’s Advancing Computer Architecture Research (ACAR) visioning reports and a study by the National Academies.  Today, the CCC is releasing the resultant community white paper, 21st Century Computer Architecture: Information and communication technology (ICT) is transforming our world, including healthcare, education, science, commerce, government, defense, and entertainment. It is hard to remember that 20 years ago the first step in information search involved a trip to the library, 10 years ago social networks […]

“Five Reasons ‘Big Data’ is a Big Deal”

May 29th, 2012 / in big science, policy, research horizons, Research News / by Erwin Gianchandani

Mobiledia is out this week with an interesting article about “Big Data”: Technology is improving Siri, powering driverless cars, improving cancer treatment and even being called Big Brother. But “big data” is what makes it possible, and why it’s so important.   Big data refers to the analytic algorithms applied to vast amounts of data across several different places, or simply the math and computer formulas used to sift through massive amounts of data and analyze the results to answer questions and solve problems. The edge big data has over traditional analytics is its ability to include data types that aren’t organized in tabular formats, including written documents, images and […]