IARPA in the News

Military & Aerospace Electronics

U.S. government researchers have chosen three industry teams to develop a small computer based on superconducting logic and cryogenic memory that is energy-efficient, scalable, and able to solve interesting problems -- particularly those that involve intelligence gathering and analysis.

Officials of the Intelligence Advanced Research Projects Activity (IARPA) in Washington have awarded contracts to teams led by IBM, Raytheon-BBN and Northrop Grumman Corp. for the for the Cryogenic Computing Complexity (C3) program that seeks to push the frontiers of high-performance computing (HPC).

IEEE Spectrum

Today, the list of the 500 fastest supercomputers is dominated by computers based on semiconducting circuitry. Ten years from now, will superconducting computers start to take some of those slots?

Last week, IARPA, the U.S. intelligence community’s high-risk research arm, announced that it had awarded its first set of research contracts in a multi-year effort to develop a superconducting computer. The program, called Cryogenic Computing Complexity (C3), is designed to develop the components needed to construct such a computer as well as a working prototype.

HPCwire

The Intelligence Advanced Research Projects Activity (IARPA) has officially commenced a multi-year research effort to develop a superconducting computer as a long-term solution to the power, cooling and space constraints that afflict modern high-performance computing. First revealed in February 2013, when the agency put out a call for proposals, the Cryogenic Computer Complexity (C3) program aims to pave the way for a new generation of superconducting supercomputers that are far more energy efficient than machines based on complementary metal oxide semiconductor (CMOS) technology.

Federal Computer Week

The intelligence community's research arm is moving forward in its effort to develop a new type of superconducting supercomputer that would use exponentially less power and floor space.

Officials at the Intelligence Advanced Research Projects Activity, part of the Office of the Director of National Intelligence, said on Dec. 3 that they had awarded three research contracts to support the first phase of the Cryogenic Computing Complexity (C3) program. The program aims to develop a small-scale supercooled supercomputer prototype.

The Inquirer

The US government has announced a plan to build a new kind of supercomputer, one that will not need all of the resources required by current machines.

Intelligence Advanced Research Projects Activity (IARPA), a research body within the Office of the Director of National Intelligence, is betting money on what is being described as the future of high-performance computing (HPC) for intelligence applications.

UPI

American intelligence agencies announced plans Friday to develop and build a new superconducting supercomputer, one which would increase current computing capacity while simultaneously reducing the energy consumption and physical footprint of the machines.

The Intelligence Advanced Research Projects Activity, a branch of the U.S. intelligence community, said in a press release that the agency has embarked on a multi-year research effort called the Cryogenic Computer Complexity program, or C3.

Scientific Computing

The Intelligence Advanced Research Projects Activity (IARPA), within the Office of the Director of National Intelligence (ODNI), has embarked on a multi-year research effort to develop a superconducting computer. If successful, technology developed under the Cryogenic Computer Complexity (C3) program will pave the way to a new generation of superconducting supercomputers that are far more energy efficient.

“The power, space, and cooling requirements for current supercomputers based on complementary metal oxide semiconductor (CMOS) technology are becoming unmanageable,” said Marc Manheimer, C3 program manager at IARPA. “Computers based on superconducting logic integrated with new kinds of cryogenic memory will allow expansion of current computing facilities while staying within space and energy budgets, and may enable supercomputer development beyond the exascale."