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Banshee Makes DRAM Cache up to 50 percent more efficient

Researchers from MIT, Intel, and ETH Zurich have developed a new cache-management scheme that improves the data rate of in-package DRAM caches by 33 to 50 percent. “The bandwidth in this in-package DRAM can be five times higher than off-package DRAM,” says Xiangyao Yu, a postdoc in MIT’s Computer Science and Artificial Intelligence Laboratory and first author on the new paper. “But it turns out that previous schemes spend too much traffic accessing metadata or moving data between in- and off-package DRAM, not really accessing data, and they waste a lot of bandwidth. The performance is not the best you can get from this new technology.”

HPC Network Stack on ARM

Pavel Shamis from ARM gave this talk at the MVAPICH User Group. “With the emerging availability HPC solutions based on ARM CPU architecture, it is important to understand how ARM integrates with the RDMA hardware and HPC network software stack. In this talk, we will overview ARM architecture and system software stack. We will discuss how ARM CPU interacts with network devices and accelerators. In addition, we will share our experience in enabling RDMA software stack and one-sided communication libraries (Open UCX, OpenSHMEM/SHMEM) on ARM and share preliminary evaluation results.”

Video: Evolution of MATLAB

Cleve Moler from MathWorks gave this talk at the 2017 Argonne Training Program on Extreme-Scale Computing. “MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Typical uses include: Data analysis, exploration, and visualization.”

Job of the Week: HPC System Administrators at D.E. Shaw Research in New York

D.E. Shaw Research in New York is seeking HPC System Administrators in our Job of the Week. “Our research effort is aimed at achieving major scientific advances in the field of biochemistry and fundamentally transforming the process of drug discovery. Exceptional sysadmins sought to manage systems, storage, and network infrastructure for a New York–based interdisciplinary research group. Positions are available at our New York City offices, and at our data centers in Durham, NC and Endicott, NY.”

Gordon Bell Prize Finalists to Present their work at SC17

SC17 has announced the finalists for the Gordon Bell Prize in High Performance Computing. The $10,000 prize will be presented to the winner at the conference in Denver next month. “The Gordon Bell Prize recognizes the extraordinary progress made each year in the innovative application of parallel computing to challenges in science, engineering, and large-scale data analytics. Prizes may be awarded for peak performance or special achievements in scalability and time-to-solution on important science and engineering problems.”

HPC in Agriculture: NCSA and Syngenta’s Dynamic Partnership

In this video, Jim Mellon from Sygenta describes how the company’s partnership with NCSA is helping the company answer the agricultural challenges of the future. “Together, we’re solving some of the toughest issues in agriculture today, like how to feed our rapidly growing population knowing that the amount of land we have for growing crops is finite. NCSA Industry provides the HPC resources that Syngenta’s scientists need to solve these issues, as well as an industry focus on security, performance, and availability, with the consultancy to better understand how to maximize these resources.”

Searching for Human Brain Memory Molecules with the Piz Daint Supercomputer

Scientists at the University of Basel are using the Piz Daint supercomputer at CSCS to discover interrelationships in the human genome that might simplify the search for “memory molecules” and eventually lead to more effective medical treatment for people with diseases that are accompanied by memory disturbance. “Until now, searching for genes related to memory capacity has been comparable to seeking out the proverbial needle in a haystack.”

Video: Silicon Photonics for Extreme Computing

Keren Bergman from Columbia University gave this talk at the 2017 Argonne Training Program on Extreme-Scale Computing. “Exaflop machines would represent a thousand-fold improvement over the current standard, the petaflop machines that first came on line in 2008. But while exaflop computers already appear on funders’ technology roadmaps, making the exaflop leap on the short timescales of those roadmaps constitutes a formidable challenge.”

Call for Papers: Supercomputing Frontiers Europe 2018

The Supercomputing Frontiers Europe 2018 conference has issued its Call for Papers. The conference takes place March 12 – 15, 2018 in Warsaw, Poland. “Supercomputing Frontiers is an annual international conference that provides a platform for thought leaders from both academia and industry to interact and discuss visionary ideas, important visionary trends and substantial innovations in supercomputing. Organized by ICM UW, Supercomputing Frontiers Europe 2018 will explore visionary trends and innovations in high performance computing.”

Comet Supercomputer Assists in Latest LIGO Discovery

This week’s landmark discovery of gravitational and light waves generated by the collision of two neutron stars eons ago was made possible by a signal verification and analysis performed by Comet, an advanced supercomputer based at SDSC in San Diego. “LIGO researchers have so far consumed more than 2 million hours of computational time on Comet through OSG – including about 630,000 hours each to help verify LIGO’s findings in 2015 and the current neutron star collision – using Comet’s Virtual Clusters for rapid, user-friendly analysis of extreme volumes of data, according to Würthwein.”