Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Exascale Computing Project Announces ECP Industry Council

“I’m pleased to have the opportunity to lead this important Council,” said Dr. J. Michael McQuade of United Technologies Corporation, who will serve as the first Chair of the ECP Industry Council. “Exascale level computing will help industry address ever more complex, competitively important problems, ones which are beyond the reach of today’s leading edge computing systems. We compete globally for scientific, technological and engineering innovations. Maintaining our lead at the highest level of computational capability is essential for our continued success.”

HPC4Mfg Industry Day Comes to San Diego March 2-3

HPC4Mfg will host their first annual High Performance Computing for Manufacturing Industry Engagement Day on March 2-3 in San Diego. With a theme of “Spurring Innovation in U.S. Manufacturing Through Advanced Computing,” the conference will bring together representatives from U.S. manufacturing, national laboratories, universities, and consortiums to discuss the recent advancements in manufacturing realized through the application of HPC and how leveraging HPC expertise through public-private partnerships has lowered the risk of adoption.

A Look at the CODAR Co-Design Center for Online Data Analysis and Reduction at Exascale

Ian Foster and other researchers in CODAR are working to overcome the gap between computation speed and the limitations in the speed and capacity of storage by developing smarter, more selective ways of reducing data without losing important information. “Exascale systems will be 50 times faster than existing systems, but it would be too expensive to build out storage that would be 50 times faster as well,” said Foster. “This means we no longer have the option to write out more data and store all of it. And if we can’t change that, then something else needs to change.”

Supercomputing Sheds Light on Leaf Study

A new study led by a research scientist at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) highlights a literally shady practice in plant science that has in some cases underestimated plants’ rate of growth and photosynthesis, among other traits. “More standardized fieldwork, in parallel with new computational tools and theoretical work, will contribute to better global plant models,” Keenan said.

New Plan: ECP Project to Deploy First Exascale System by 2021

Today the DOE Exascale Computing Project announced the following changes to their strategic plan. The ECP project now plans to deploy the first Exascale system in the U.S. in 2021, a full 1-2 years earlier than previously planned. This system will be built from a “novel architecture” that will be put out for bid in the near future. According to Argonne’s Paul Messina, Director, Exascale Computing Project, “It won’t be something out there like quantum computing, but we are looking for new ideas in terms of processing and networking technologies for the machine.”

Exascale Computing Project Announces $48 Million to Establish Four Exascale Co-Design Centers

Today the Department of Energy’s Exascale Computing Project (ECP) today announced that it has selected four co-design centers as part of a 4 year, $48 million funding award. The first year is funded at $12 million, and is to be allocated evenly among the four award recipients. “By targeting common patterns of computation and communication, known as “application motifs”, we are confident that these ECP co-design centers will knock down key performance barriers and pave the way for applications to exploit all that capable exascale has to offer.”

DOE to Showcase Leadership in HPC at SC16

Researchers and staff from the U.S. Department of Energy’s national laboratories will showcase some of DOE’s best computing and networking innovations and techniques at SC16 in Salt Lake City. “Computational scientists working for various DOE laboratories have been in involved in the conference since its 1988 beginnings, and this year’s event is no different. Experts from 14 national laboratories will be sharing a booth featuring speakers, presentations, demonstrations, discussions and simulations.”

Exascale Computing Project Awards $34 Million for Software Development

Today the Department of Energy’s Exascale Computing Project (ECP) today announced the selection of 35 software development proposals representing 25 research and academic organizations. “After a lengthy review, we are pleased to announce that we have selected 35 proposals for funding. The funding of these software development projects, following our recent announcement for application development awards, signals the momentum and direction of ECP as we bring together the necessary ecosystem and infrastructure to drive the nation’s exascale imperative.”

Video: Experiences in eXtreme Scale HPC

In this video from the 2016 Argonne Training Program on Extreme-Scale Computing, Mark Miller from LLNL leads a panel discussion on Experiences in eXtreme Scale in HPC with FASTMATH team members. “The FASTMath SciDAC Institute is developing and deploying scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena and collaborating with U.S. Department of Energy (DOE) domain scientists to ensure the usefulness and applicability of our work. The focus of our work is strongly driven by the requirements of DOE application scientists who work extensively with mesh-based, continuum-level models or particle-based techniques.”

SC16 Plenary Session to Focus on HPC and Precision Medicine

SC16 will continue its HPC Matters Plenary session series this year with a panel discussion on HPC and Precision Medicine. The event will take place at 5:30 pm on Monday, Nov 14 just prior to the exhibits opening gala. “The success of all of these research programs hinge on harnessing the power of HPC to analyze volumes of complex genomics and other biological datasets that simply can’t be processed by humans alone. The challenge for our community will be to develop the computing tools and services needed to transform how we think about disease and bring us closer to the precision medicine future.”