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Tag: energy efficiency

NSF Awards $21.6M for Energy-Efficient Computing Projects

Oct 20, 2016 |

Developing energy efficient computing is a high priority worldwide, particularly as the race towards exascale computing heats up. As is often noted, the human brain does with 10-20 watts what supercomputers require megawatts to accomplish. This week the National Science Foundation and Semiconductor Research Corporation funded nine projects aimed at developing more energy efficient computers. Read more…

NSF Seeks ‘Breakthroughs’ for Energy-Efficient Computing

Mar 7, 2016 |

Breakthroughs, by their nature, are rarely generated on demand. That said, the energy problem in computing today is so acute that the National Science Foundation and Semiconductor Research Corporation are joining forces to stimulate research into developing ‘breakthroughs’ in energy-efficient computing. The new NSF-NRC grants program, Energy-Efficient Computing: from Devices to Architectures (E2CDA), has a Read more…

NERSC Highlights Exascale-Energy Connection

Sep 11, 2014 |

It’s been almost six months since the National Energy Research Scientific Computing Center (NERSC) formally announced Cori, the new supercomputer set to be installed at the lab in the mid-2016 timeframe. Originally known as NERSC-8, the new machine will sport over 9,300 nodes, equipped with next-generation Knights Landing architecture housed within a Cray XC environment. Each Read more…

Tackling the Power and Energy Wall for Future HPC Systems

Dec 17, 2013 |

As the cost of powering a supercomputer or a datacenter increases, next generation exascale systems need to be considerably more power- and energy-efficient than current supercomputers to be of practical use. Unlike petascale systems, where the primary concern was performance, exascale systems need to climb the power and energy walls in order to deliver sustainable exaflops performance. Pacifi c Northwest Laboratory (PNNL) researchers are exploring holistically energy and power efficiency aspects at all levels of granularity, from processor architecture to system integration.

Exascale Requires 25x Boost in Energy Efficiency, NVIDIA’s Dally Says

Jun 24, 2013 |

While there is a universal desire in the HPC community build the world’s exascale system, the achievement will require a major breakthrough in not only chip design and power utilization but programming methods, NVIDIA chief scientist Bill Dally said in a keynote address at ISC 2013 last week in Leipzig, Germany.

Research Roundup: Toward a More Efficient Cloud

May 10, 2013 |

In this week’s hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a unified programming model for diverse data-intensive cloud computing paradigms.

The Week in HPC Research

Apr 25, 2013 |

We’ve scoured the journals and conference proceedings to bring you the top research stories of the week. This diverse set of items includes advancements in petascale-era development environments; balancing performance with power efficiency; optimizing computer science instruction; and a possible path to extreme heterogeneity.

HPC Center Meets Green Mandate

Apr 24, 2013 |

For HPC centers all over the world, providing high-levels of compute power is job number one, but they also must be as energy-efficient as possible.

Future Challenges of Large-Scale Computing

Apr 15, 2013 |

Ahead of his opening conference keynote at ISC’13, Bill Dally, chief scientist at NVIDIA and senior vice president of NVIDIA Research, shares his views on where HPC is headed. Among the key topics covered are the demand for heterogenous computing, overcoming the memory wall, the implications of government belt-tightening, and much more…

The Week in HPC Research

Mar 21, 2013 |

<img src=”” 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.