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ECP Launches “Let’s Talk Exascale” Podcast

The DOE’s Exascale Computing Project has launched a new podcast channel. In this episode, Danny Perez from Los Alamos National Laboratory discusses The Exascale Atomistic Capability for Accuracy, Length, and Time (EXAALT) project. EXAALT specializes in molecular dynamics simulations of materials. “We hope you enjoy the podcast, and we welcome your ideas for future episodes.”

How AI is Reshaping HPC

Karl Freund from Moor Insights gave this talk at SC17. “Researchers have begun putting Machine Learning to work solving problems that do not lend themselves well to traditional numerical analysis, or that require unaffordable computational capacity. This talk with discuss three primary approaches being used today, and will share some case studies that show significant promise of lower latency, improved accuracy, and lower cost.”

PEARC18 Conference Announces lineup of Keynote Speakers

The PEARC18 Conference has announced its lineup of Keynote Speakers. The event takes place July 22-27 in Pittsburgh. “PEARC18 is for everyone who works to realize the promise of advanced computing as the enabler of seamless creativity. Scientists and engineers, scholars and planners, artists and makers, students and teachers all depend on the efficiency, security, reliability and sustainability of increasingly complex and powerful digital infrastructure systems. If your work addresses these challenges in any way, PEARC18 is the forum to share, learn and inspire progress.”

Steve Oberlin from NVIDIA Presents: HPC Exascale & AI

Steve Oberlin from NVIDIA gave this talk at SC17 in Denver. “HPC is a fundamental pillar of modern science. From predicting weather to discovering drugs to finding new energy sources, researchers use large computing systems to simulate and predict our world. AI extends traditional HPC by letting researchers analyze massive amounts of data faster and more effectively. It’s a transformational new tool for gaining insights where simulation alone cannot fully predict the real world.”

Video: Red Hat Showcases ARM Support for HPC at SC17

In this video from SC17, Jon Masters from Red Hat describes the company’s Multi-Architecture HPC capabilities, including the new ARM-powered Apollo 70 server from HPE. “At SC17, you will also have an opportunity to see the power and flexibility of Red Hat Enterprise Linux across multiple architectures, including Arm v8-A, x86_64 and IBM POWER Little Endian.”

New Whitepaper on Meltdown and Spectre fixes for HPC

Can you afford to lose a third of your compute real estate? If not, you need to pre-empt the impact of Meltdown and Spectre. “Meltdown and Spectre are quickly becoming household names and not just in the HPC space. The severe design flaws in Intel microprocessors that could allow sensitive data to be stolen and the fixes are likely to be bad news for any I/O intensive applications such as those often used in HPC. Ellexus Ltd, the I/O profiling company, has released a white paper: How the Meltdown and Spectre bugs work and what you can do to prevent a performance plummet.”

Radio Free HPC Looks at Spectre and Meltdown Exploits

In this podcast, the Radio Free HPC team looks at the performance ramifications of the Spectre and Meltdown exploits that affect processors from Intel, AMD, and many others. While patches are on the way, the performance hit from these patches could be as high as twenty or thirty percent in some cases.

Adapting Deep Learning to New Data Using ORNL’s Titan Supercomputer

Travis Johnston from ORNL gave this talk at SC17. “Multi-node evolutionary neural networks for deep learning (MENNDL) is an evolutionary approach to performing this search. MENNDL is capable of evolving not only the numeric hyper-parameters, but is also capable of evolving the arrangement of layers within the network. The second approach is implemented using Apache Spark at scale on Titan. The technique we present is an improvement over hyper-parameter sweeps because we don’t require assumptions about independence of parameters and is more computationally feasible than grid-search.”

The AI Future is Closer than it Seems

Gadi Singer gave this talk at the Intel HPC Developer Conference in Denver. “Technology visionaries architecting the future of high-performance computing and artificial intelligence (AI) will share the key challenges as well as Intel’s direction. The talk will cover the adaptation of AI into HPC workflows, along their perspective architectural developments, upcoming transitions and range of solutions, technology opportunities, and the driving forces behind them.”

Job of the Week: Computer Systems Researcher at Baidu USA

Baidu USA in Silicon Valley is seeking a Computer Systems Researcher in our Job of the Week. “Baidu’s research mission is to develop hard AI technologies that will reach and impact hundreds of millions of users. Our Silicon Valley Artificial Intelligence Lab (SVAIL) develops state-of-the-art AI technologies that require bleeding-edge systems to improve accuracy, scale, and performance. Our systems researchers address the many and new systems challenges that arise as we extend the AI state-of-the-art.”