“Back in 2013 I wrote the following blog expressing my opinion that I doubted we would reach Exascale before 2020. However, recently it was announced that the world’s first Exascale supercomputer prototype will be ready by the end of 2017 (recently pushed back to early 2018), created by the Chinese. I did some digging and wanted to share my thoughts on the news.”
The Exascale Computing Project (ECP) has selected its fifth Co-Design Center to focus on Graph Analytics — combinatorial (graph) kernels that play a crucial enabling role in many data analytic computing application areas as well as several ECP applications. Initially, the work will be a partnership among PNNL, Lawrence Berkeley National Laboratory, Sandia National Laboratories, and Purdue University.
Today the OpenFabrics Alliance (OFA) published the session abstracts for its 13th Annual OFA Workshop. Sponsored by Intel, the workshop takes place March 27-31 in Austin, Texas. “The workshop will include more than 50 sessions covering a variety of critical networking topics delivered by industry experts from around the world. Additionally, the OFA has announced that Al Geist of Oak Ridge National Laboratory (ORNL) will deliver a workshop keynote address on the impact of the Exascale Computing Project. The workshop program is designed to educate attendees and encourage lively exchanges among OFA members, developers, and users who share a vested interest in high performance networks.”
The Department of Energy’s Oak Ridge National Laboratory has announced the latest release of its Adaptable I/O System (ADIOS), a middleware that speeds up scientific simulations on parallel computing resources such as the laboratory’s Titan supercomputer by making input/output operations more efficient. “As we approach the exascale, there are many challenges for ADIOS and I/O in general,” said Scott Klasky, scientific data group leader in ORNL’s Computer Science and Mathematics Division. “We must reduce the amount of data being processed and program for new architectures. We also must make our I/O frameworks interoperable with one another, and version 1.11 is the first step in that direction.”
In this video from the 2017 HPC Advisory Council Stanford Conference, Subhasish Mitra from Stanford presents: Beyond the Moore’s Law Cliff: The Next 1000X. Professor Subhasish Mitra directs the Robust Systems Group in the Department of Electrical Engineering and the Department of Computer Science of Stanford University, where he is the Chambers Faculty Scholar of Engineering. Prior to joining Stanford, he was a Principal Engineer at Intel Corporation. He received Ph.D. in Electrical Engineering from Stanford University.
In this video from KAUST, Steve Scott from at Cray explains where supercomputing is going and why there is a never-ending demand for faster and faster computers. Responsible for guiding Cray’s long term product roadmap in high-performance computing, storage and data analytics, Mr. Scott is chief architect of several generations of systems and interconnects at Cray.
When the DOE’s pre-exascale supercomputers come online soon, all three will be running an optimized version of the XGC dynamic fusion code. Developed by a team at the DOE’s Princeton Plasma Physics Laboratory (PPPL), the XGC code was one of only three codes out of more than 30 science and engineering programs selected to participate in Early Science programs on all three new supercomputers, which will serve as forerunners for even more powerful exascale machines that are to begin operating in the United States in the early 2020s.
In his keynote, Mr. Geist will discuss the need for future Department of Energy supercomputers to solve emerging data science and machine learning problems in addition to running traditional modeling and simulation applications. In August 2016, the Exascale Computing Project (ECP) was approved to support a huge lift in the trajectory of U.S. High Performance Computing (HPC). The ECP goals are intended to enable the delivery of capable exascale computers in 2022 and one early exascale system in 2021, which will foster a rich exascale ecosystem and work toward ensuring continued U.S. leadership in HPC. He will also share how the ECP plans to achieve these goals and the potential positive impacts for OFA.
DK Panda from Ohio State University presented this deck at the 2017 HPC Advisory Council Stanford Conference. “This talk will focus on challenges in designing runtime environments for exascale systems with millions of processors and accelerators to support various programming models. We will focus on MPI, PGAS (OpenSHMEM, CAF, UPC and UPC++) and Hybrid MPI+PGAS programming models by taking into account support for multi-core, high-performance networks, accelerators (GPGPUs and Intel MIC), virtualization technologies (KVM, Docker, and Singularity), and energy-awareness. Features and sample performance numbers from the MVAPICH2 libraries will be presented.”
“China and the United States have been in the race to develop the most capable supercomputer. China has announced that its exascale computer could be released sooner than originally planned. Steve Conway, VP for high performance computing at IDC, joins Federal Drive with Tom Temin for analysis.”