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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.”

Micron and Intel to continue joint development of 3D NAND Memory through 2019

Today Micron and Intel announced an update to their successful NAND memory joint development partnership that has helped the companies develop and deliver industry-leading NAND technologies to market. “The companies have agreed to complete development of their third-generation of 3D NAND technology, which will be delivered toward the end of this year and extending into early 2019. Beyond that technology node, both companies will develop 3D NAND independently in order to better optimize the technology and products for their individual business needs.”

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.”

Visualization on GPU Accelerated Supercomputers

Peter Messmer from NVIDIA gave this talk at SC17. “This talk is a summary about the ongoing HPC visualization activities, as well as a description of the technologies behind the developer-zone shown in the booth.” Messmer is a principal software engineer in NVIDIA’s Developer Technology organization, working with clients to accelerate their scientific discovery process with GPUs.