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Deep Learning State of the Art in 2020

Lex Fridman gave this talk as part of the MIT Deep Learning series. “This lecture is on the most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, and society in general.”

Advanced simulation tools for Vortex Bladeless wind power

Vortex Bladeless presented the company’s design for a new wind energy technology. One of the key characteristics of this system is the reduction of mechanical elements that can be worn by friction. The company developed the technology using CFD tools provided by Altair, which helped the company study both the fluid-structure interaction and the behaviour of the magnetic fields in the alternator.

Podcast: Will the ExaSky Project be First to Reach Exascale?

In this Lets Talk Exascale podcast, Katrin Heitmann from Argonne describes how the ExaSky project may be one of the first applications to reach exascale levels of performance. “Our current challenge problem is designed to run across the full machine [on both Aurora and Frontier], and doing so on a new machine is always difficult,” Heitmann said. “We know from experience, having been first users in the past on Roadrunner, Mira, Titan, and Summit; and each of them had unique hurdles when the machine hit the floor.”

Supercomputing Planet Formation at SDSC

Researchers are using a novel approach to solving the mysteries of planet formation with the help of the Comet supercomputer at the San Diego Supercomputer Center on the UC San Diego campus. The modeling enabled scientists at the Southwest Research Institute (SwRI) to implement a new software package, which in turn allowed them to create a simulation of planet formation that provides a new baseline for future studies of this mysterious field. “The problem of planet formation is to start with a huge amount of very small dust that interacts on super-short timescales (seconds or less), and the Comet-enabled simulations finish with the final big collisions between planets that continue for 100 million years or more.”

Call for Papers: MSST 2020 Mass Storage Conference in Santa Clara

The MSST 2020 Mass Storage Conference has issued its Call for Papers. The event will be held May 4-8, 2020 at Santa Clara University, with the Research Track taking place May 7 and 8. “The conference focuses on current challenges and future trends in storage technologies. MSST 2020 will include a day of tutorials, two days of invited papers, and two days of peer-reviewed research papers. The conference will be held, once again, on the beautiful campus of Santa Clara University, in the heart of Silicon Valley.”

Video: The Parallel Computing Revolution Is Only Half Over

In this video from ATPESC 2019, Rob Schreiber from Cerebras Systems looks back at historical computing advancements, Moore’s Law, and what happens next. “A recent report by OpenAI showed that, between 2012 and 2018, the compute used to train the largest models increased by 300,000X. In other words, AI computing is growing 25,000X faster than Moore’s law at its peak. To meet the growing computational requirements of AI, Cerebras has designed and manufactured the largest chip ever built.”

NVIDIA DGX SuperPOD: Instant Infrastructure for AI Leadership

Darrin Johnson from NVIDIA gave this talk at the DDN User Group. “The NVIDIA DGX SuperPOD is a first-of-its-kind artificial intelligence (AI) supercomputing infrastructure that delivers groundbreaking performance, deploys in weeks as a fully integrated system, and is designed to solve the world’s most challenging AI problems. “When combined with DDN’s A3I data management solutions, NVIDIA DGX SuperPOD creates a real competitive advantage for customers looking to deploy AI at scale.”

Los Alamos National Laboratory joins IBM Q Network for quantum computing

Today Los Alamos National Laboratory announced that it is joining the cloud-based IBM Q Network as part of the Laboratory’s research initiative into quantum computing, including developing quantum computing algorithms, conducting research in quantum simulations, and developing education tools. “Joining the IBM Q Network will greatly help our research efforts in several directions, including developing and testing near-term quantum algorithms and formulating strategies for mitigating errors on quantum computers,” said Irene Qualters, associate laboratory director for Simulation and Computation at Los Alamos.

Podcast: PSIP Brings Software Development teams together at the Exascale Computing Project

In this Lets Talk Exascale podcast, Elaine Raybourn from Sandia National Laboratories decribes how Productivity Sustainability Improvement Planning (PSIP) is bringing software development teams together at the Exascale Computing Project. PSIP brings software development activities together and enables partnerships and the adoption of best practices across aggregate teams.

Job of the Week: Research Systems Integration Engineer at UC San Diego

UC San Diego is seeking a Research Systems Integration Engineer in our Job of the Week. “Information Technology Services uses world-class services and technologies to empower UC San Diego’s mission to transform California and the world as a student-centered, research-focused, service-oriented public university. As a strategic member of the UC San Diego community, IT Services embraces innovation in their delivery of IT services, infrastructure, applications, and support. IT Services is customer-focused and committed to collaboration, continuous improvement, and accountability.”