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Massive-Scale Analytics Applied to Real-World Problems

David Bader from Georgia Tech gave this talk at PASC18. “Emerging real-world graph problems include: detecting and preventing disease in human populations; revealing community structure in large social networks; and improving the resilience of the electric power grid. Unlike traditional applications in computational science and engineering, solving these social problems at scale often raises new challenges because of the sparsity and lack of locality in the data, the need for research on scalable algorithms and development of frameworks for solving these real-world problems on high performance computers, and for improved models that capture the noise and bias inherent in the torrential data streams.”

Porting HPC Codes with Directives and OpenACC

In this video from ISC 2018, Michael Wolfe from describes how scientists can port their code to accelerated computing. “OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC hardware platforms and architectures with significantly less programming effort than required with a low-level model.”

InfiniBand Powers World’s Fastest Supercomputer

Today the InfiniBand Trade Association (IBTA) announced that the latest TOP500 List results that report the world’s new fastest supercomputer, Oak Ridge National Laboratory’s Summit system, is accelerated by InfiniBand EDR. InfiniBand now powers the top three and four of the top five systems. The latest rankings underscore InfiniBand’s continued position as the interconnect of choice for the industry’s most demanding high performance computing (HPC) platforms. “As the makeup of the world’s fastest supercomputers evolve to include more non-HPC systems such as cloud and hyperscale, the IBTA remains confident in the InfiniBand Architecture’s flexibility to support the increasing variety of demanding deployments,” said Bill Lee, IBTA Marketing Working Group Co-Chair. “As evident in the latest TOP500 List, the reinforced position of InfiniBand among the most powerful HPC systems and growing prominence of RoCE-capable non-HPC platforms demonstrate the technology’s unparalleled performance capabilities across a diverse set of applications.”

Report: Exascale Software Development Project on Track

Software development for future DOE Exascale machines is on track, according to a new Report. While the first Exascale machine is not slated for delivery to Argonne until 2021, ongoing efforts continue towards the monumental task of preparing applications to run 50x faster than possible today. “Software Technology is a key focus area of the ECP and represents the key bridge between Exascale systems and the scientists developing applications that will run on those platforms.”

Call for Lustre Presentations: LAD’18 in Paris

The Lustre Administrators & Developers group has issued their Call for Presentations. Registration is now open for the LAD’18 event, which takes place Sept. 24-25 in Paris. “We invite community members to send proposals for presentation. Those talks could cover, by example, tools, administration experiences, configuration setup, developments, tunings, tweaking, … No proceeding is required, just an abstract for a 30-min technical presentation.”

Spectra Logic Enhances Tape Library Offerings

Today Spectra Logic announced a set of updates to its enterprise tape libraries. The enhancements benefit customers in government, scientific research, high performance computing, media and entertainment, and public cloud environments who must preserve massive amounts of data long term. “In today’s world, organizations that extract more value from their data gain a competitive edge,” said Nathan Thompson, CEO of Spectra Logic. “Advancements in tape library functionality benefit organizations with large-scale computing platforms, enabling them to use, retain and, in some cases, retrieve enormous amounts of data quickly, securely and affordably for the long term.”

SUSE offers Optimized HPC Modules at ISC 2018

In this video from ISC 2018, Jeff Reser from SUSE describes how the company’s software enables High Performance Computing with HPC Modules, lower costs, and support for ARM. “SUSE Linux Enterprise for High Performance Computing provides a parallel computing platform for high performance data analytics workloads such as artificial intelligence and machine learning. Fueled by the need for more compute power and scale, businesses around the world today are recognizing that a high performance computing infrastructure is vital to supporting the analytics applications of tomorrow.”

OpenACC Helps Scientists Port their code at the Center for Application Readiness (CARR)

In this video, Jack Wells from the Oak Ridge Leadership Computing Facility and Duncan Poole from NVIDIA describe how OpenACC enabled them to port their codes to the new Summit supercomputer. “In preparation for next-generation supercomputer Summit, the Oak Ridge Leadership Computing Facility (OLCF) selected 13 partnership projects into its Center for Accelerated Application Readiness (CAAR) program. A collaborative effort of application development teams and staff from the OLCF Scientific Computing group, CAAR is focused on redesigning, porting, and optimizing application codes for Summit’s hybrid CPU–GPU architecture.”

Video: Kathy Yelick from LBNL Testifies at House Hearing on Big Data Challenges and Advanced Computing

In this video, Kathy Yelick from LBNL describes why the US needs to accelerate its efforts to stay ahead in AI and Big Data Analytics. “Data-driven scientific discovery is poised to deliver breakthroughs across many disciplines, and the U.S. Department of Energy, through its national laboratories, is well positioned to play a leadership role in this revolution. Driven by DOE innovations in instrumentation and computing, however, the scientific data sets being created are becoming increasingly challenging to sift through and manage.”

Podcast: Evolving MPI for Exascale Applications

In this episode of Let’s Talk Exascale, Pavan Balaji and Ken Raffenetti describe their efforts to help MPI, the de facto programming model for parallel computing, run as efficiently as possible on exascale systems. “We need to look at a lot of key technical challenges, like performance and scalability, when we go up to this scale of machines. Performance is one of the biggest things that people look at. Aspects with respect to heterogeneity become important.”