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Radio Free HPC Recaps SC17 in Denver

In this podcast, the Radio Free HPC team describes the highlights of SC17 in Denver. Highlights includes the debut of ARM hardware for HPC, a Rasberry Pie Cluster, and pervasive liquid cooling.

Composable Infrastructure: Composing Greater HPC Breakthroughs

Composable infrastructure allows any number of CPU nodes to dynamically map the optimum number of GPU and NVMe storage resources to each node required to complete a specific task.  In this sponsored post, Katie Rivera of One Stop Systems, explores the power of GPUs and the potential benefits of composable infrastructure for HPC. 

The Inflection Point of Wattage in HPC, Deep Learning and AI

Magnified in 2017 by machine learning and AI, there is a heightened concern in the HPC community over wattage trends in CPUs, GPUs and emerging neural chips required to meet accelerating computational demands in HPC clusters. In this sponsored post from Asetek, the company examines how high wattage trends in HPC, deep learning and AI might be reaching an inflection point.

Beowulf Bash Returns to Denver for SC17

The Beowulf Bash is returning to Denver for SC17. The event takes place at the Lucky Strike bowling alley on Monday, Nov. 13 from 9pm to 12 midnight. “Got an urge to try something new? Lucky Strike Denver has you covered. With a tantalizing menu of chef driven cuisine, hand-crafted cocktails, and live local DJs, Lucky Strike Denver breathes new life into the typical bowling experience with chic modern decor and a one-of-a-kind atmosphere.”

HPC Software Stacks: Making High Performance Computing More Accessible

More than 200 researchers at the University of Pisa use high performance computing (HPC) systems in their quantum chemistry, nanophysics, genome sequencing, engineering simulations and areas such as big data analysis. The University’s IT Center has moved to a pre-integrated HPC software stack designed to simplify software installation and maintenance. This sponsored post from Intel shows how a  pre-integrated, validated and supported HPC software stack allows the University of Pisa to focus on research. 

GPUs Accelerate Population Distribution Mapping Around the Globe

With the Earth’s population at 7 billion and growing, understanding population distribution is essential to meeting societal needs for infrastructure, resources and vital services. This article highlights how NVIDIA GPU-powered AI is accelerating mapping and analysis of population distribution around the globe. “If there is a disaster anywhere in the world,” said Bhaduri, “as soon as we have imaging we can create very useful information for responders, empowering recovery in a matter of hours rather than days.”

Solving AI Hardware Challenges

For many deep learning startups out there, buying AI hardware and a large quantity of powerful GPUs is not feasible. So many of these startup companies are turning to cloud GPU computing to crunch their data and run their algorithms. Katie Rivera, of One Stop Systems, explores some of the AI hardware challenges that can arise, as well as the new tools designed to tackle these issues. 

Argonne Steps up to the Exascale Computing Project

The Exascale Computing Project (ECP) is working with a number of National Labs on the development of supercomputers with 50x better performance than today’s systems. In this special guest feature, ECP describes how Argonne is stepping up to the challenge. “Given the complexity and importance of exascale, it is not anything a single lab can do,” said Argonne’s Rick Stevens.

Unlike Oil and Water, Legacy and Cloud Mix Well

Despite the cloud hype, legacy HPC apps are alive and well. While it may seem like they can’t mix, the process of bursting these applications to the cloud is bringing these staples to cloud table. Avoiding rewrites can efficiently bring immediate HPC cloud benefits to organizations big and small. “Many technologies and solutions now available allow for the functional and highly efficient coordination and connection between legacy applications and the well-known advantages of the cloud.”

DeepSat: Monitoring the Earth’s Vitals with AI

In order to better keep a finger on the pulse of the Earth’s health, NASA developed DeepSat, a deep learning AI framework for satellite image classification and segmentation. DeepSat provides vital signs of changing landscapes at the highest possible resolution, enabling scientists to use the data for independent modeling efforts.