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Supercomputing the Cancer Moonshot and Beyond

In this video, Dr. Dimitri Kusnezov from the U.S. Department of Energy National Nuclear Security Administration presents: Supercomputing the Cancer Moonshot and Beyond. “How can the next generation of supercomputers unlock biomedical mysteries that will shape the future practice of medicine? Scientists behind the National Strategic Computing Initiative, a federal strategy for investing in high-performance computing, are exploring this question.”

Video: HPC Opportunities in Deep Learning

“This talk will provide empirical evidence from our Deep Speech work that application level performance (e.g. recognition accuracy) scales with data and compute, transforming some hard AI problems into problems of computational scale. It will describe the performance characteristics of Baidu’s deep learning workloads in detail, focusing on the recurrent neural networks used in Deep Speech as a case study. It will cover challenges to further improving performance, describe techniques that have allowed us to sustain 250 TFLOP/s when training a single model on a cluster of 128 GPUs, and discuss straightforward improvements that are likely to deliver even better performance.”

Driving Collaborative Research Partnerships at IBM

Martina Naughton presented this talk at the HPC Advisory Council Spain Conference. “IBM has a strong tradition of research collaboration with academia. We go beyond the boundaries of our IBM labs to work with colleagues in universities around the world to address global grand challenge problems. We also foster collaborative research related to transformation and innovation of businesses and governments, relationships through fellowships, grants, and funding for programs of shared interest.”

TotalView: Debugging from Desktop to Supercomputer

Peter Thompson from Rogue Wave Software presented this talk at the Argonne Training Program on Extreme-Scale Computing. “Purpose-built for applications using hundreds or thousands of cores, TotalView for HPC provides a set of tools that give scientific and academic developers unprecedented control over processes and thread execution, along with deep visibility into program states and data. By allowing the simultaneous debugging of many processes and threads in a single window, you get complete control over program execution: running, stepping, and halting line-by-line through code within a single thread or within arbitrary groups of processes or threads.”

Slidecast: Running HPC Simulation Workflows in Microsoft Azure

In this video from the Microsoft Ignite Conference, Tejas Karmarkar describes how to run your HPC Simulations on Microsoft Azure – with UberCloud container technology. “High performance computing applications are some of the most challenging to run in the cloud due to requirements that can include fast processors, low-latency networking, parallel file systems, GPUs, and Linux. We show you how to run these engineering, research and scientific workloads in Microsoft Azure with performance equivalent to on-premises. We use customer case studies to illustrate the basic architecture and alternatives to help you get started with HPC in Azure.”

Streamlining HPC Workloads with Containers

“While we often talk about the density advantages of containers, it’s the opposite approach that we use in the High Performance Computing world! Here, we use exactly 1 system container per node, giving it unlimited access to all of the host’s CPU, Memory, Disk, IO, and Network. And yet we can still leverage the management characteristics of containers — security, snapshots, live migration, and instant deployment to recycle each node in between jobs. In this talk, we’ll examine a reference architecture and some best practices around containers in HPC environments.”

HPC: Retrospect & Looking Towards the Next 10 Years

In this video from the HPC Advisory Council Spain Conference, Addison Snell from Intersect360 Research looks back over the past 10 years of HPC and provides predictions for the next 10 years. Intersect360 Research just released their Worldwide HPC 2015 Total Market Model and 2016–2020 Forecast.

Supercomputing Cancer Diagnostics with CyVerse

Adam Buntzman and his colleagues at the University of Arizona recently developed a tool that uses CyVerse supercomputing resources to create the first nearly comprehensive map of the human immunome, all the possible immune receptors our bodies can make. “When people go to a clinic, it’s usually because they’re already sick,” Buntzman said. “If doctors could detect cancerous cells before they grow drastically out of proportion to healthy cells, patients would have much higher odds of successful cancer treatment and survival.”

Jack Dongarra Presents: Adaptive Linear Solvers and Eigensolvers

Jack Dongarra presented this talk at the Argonne Training Program on Extreme-Scale Computing. “ATPESC provides intensive, two weeks of training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future.”

White House Releases Report on the Future of Artificial Intelligence

Today, to ready the United States for a future in which Artificial Intelligence (AI) plays a growing role, the White House is releasing a report on future directions and considerations for AI called Preparing for the Future of Artificial Intelligence. This report surveys the current state of AI, its existing and potential applications, and the questions that progress in AI raise for society and public policy.”