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Agenda Posted for MSST Mass Storage Conference in May

The Massive Storage Systems and Technology Conference (MSST) posted their preliminary speaker agenda. Keynote speakers include Margo Seltzer and Mark Kryder, along with a five-day agenda of invited and peer research talks and tutorials, May 20-24 in Santa Clara, California. “MSST 2019 will focus on current challenges and future trends in distributed storage system technologies,” said Meghan Wingate McClelland, Communications Chair of MSST.”

Video: The Game Changing Post-K Supercomputer for HPC, Big Data, and Ai

Satoshi Matsuoka from RIKEN gave this talk at the Rice Oil & Gas Conference. “Rather than to focus on double precision flops that are of lesser utility, rather Post-K, especially its Arm64fx processor and the Tofu-D network is designed to sustain extreme bandwidth on realistic applications including those for oil and gas, such as seismic wave propagation, CFD, as well as structural codes, besting its rivals by several factors in measured performance. Post-K is slated to perform 100 times faster on some key applications c.f. its predecessor, the K-Computer, but also will likely to be the premier big data and AI/ML infrastructure.”

Video: A Fast, Scaleable HPC Engine for Data Ingest

David Wade from Integral Engineering gave this talk at the Stanford HPC Conference. “In this talk, a design is sketched for an engine to ingest data from the IOT massively into a cluster for analysis, storage and transformation using COTS methods from High Performance Computing techniques in hardware and software.”

Scalable Machine Learning: The Role of Stratified Data Sharding

Srinivasan Parthasarathy from Ohio State University gave this talk at the Stanford HPC Conference. “With the increasing popularity of structured data stores, social networks and Web 2.0 and 3.0 applications, complex data formats, such as trees and graphs, are becoming ubiquitous. I will discuss a critical element at the heart of this challenge relates to the sharding, placement, storage and access of such tera- and peta- scale data.”

Interview: HPC User Forum in Santa Fe to look at Supercomputing Technology Trends

Hyperion Research will host the next HPC User Forum April 1-3 in Santa Fe, New Mexico. Now in its 20th year, the HPC User Forum has grown to 150 members from government, industry, and academia. To learn more, insideHPC caught up with Steve Conway from Hyperion Research.

Lenovo Enables Solutions for the ‘New HPC’

The new HPC, inclusive of analytics and AI, and with its wide range of technology components and choices, presents significant challenges to a commercial enterprise. Ultimately, the new HPC brings about opportunities that are worth the challenges. This whitepaper from Lenovo outlines new markets, workloads and technologies in HPC, as well as how its own products and tech are addressing the solution needs of the “new HPC.”

BSC fosters EUCANCan Project to share and reuse cancer genomic data worldwide

Today the Barcelona Supercomputing Center announced it will foster the EUCANCan project to allow both research and cancer treatments to be shared and re-used by the European and Canadian scientific community. As demonstrated by earlier work, research that merges and reanalyzes  biomedical data from different studies significantly increases the chances of new discoveries.

Rapids: Data Science on GPUs

Christoph Angerer from NVIDIA gave this talk at FOSDEM’19. “The next big step in data science will combine the ease of use of common Python APIs, but with the power and scalability of GPU compute. The RAPIDS project is the first step in giving data scientists the ability to use familiar APIs and abstractions while taking advantage of the same technology that enables dramatic increases in speed in deep learning. This session highlights the progress that has been made on RAPIDS, discusses how you can get up and running doing data science on the GPU, and provides some use cases involving graph analytics as motivation.”

The convergence of HPC and BigData: What does it mean for HPC sysadmins?

Damien Francois gave this talk at FOSDEM’19. “The world of HPC and the world of BigData are slowly, but surely, converging. The HPC world realizes that there are more to data storage than just files and that ‘self-service’ ideas are tempting. In the meantime, the BigData world realizes that co-processors and fast networks can really speedup analytics. And indeed, all major public Cloud services now have an HPC offering. And many academic HPC centres start to offer Cloud infrastructures and BigData-related tools.”

Job of the Week: Research Engineer at Reservoir Labs in New York

Reservoir Labs is seeking a Research Engineer in our Job of the Week. We are working on some of the most interesting and challenging problems related to high-performance computing and compilers, cybersecurity, advanced algorithms, and high-performance data analytics. “You will be closely guided and mentored by one of our experienced researchers, providing you with an unparalleled learning experience. You will have the opportunity to publish your own research papers, attend client meetings and academic conferences.”