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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.

Building a True Data Solution

Many of the biggest challenges in current data center deployments involve moving and protecting the massive amount of data that is used by today’s leading companies. In this sponsored post from One Stop Systems, Inc., Tom Matson, Director of Software Solutions Sales at SanDisk, explains how a successful data solution is built. “With flash migrating from PCIe to NVMe, OSS continues to offer a “one-stop” hardware and software solution for high-performance AFA storage that combines their industry-leading systems with the latest version of high-performance ION software.”

Advancing AI Capabilities with Next-Generation HPC Solutions

HPE and NVIDIA are delivering IT solutions with superhuman intelligence to harness the full power of AI and pioneer the next generation of HPC systems. In this special guest feature, HPE’s Vineeth Ram explores the possibilities of advancing AI capabilities with next-generation HPC solutions. “HPE is excited to complement our purpose-built systems innovation for Deep Learning and AI with the unique, industry leading strengths of the NVIDIA V100 technology architecture to accelerate insights and intelligence for our customers.”

Petabyte-Scale Active Archive in Private Object Storage

In big data science, storage archives protect massive volumes of research-critical content. Scientists at the University of Warsaw (UW) Interdisciplinary Centre for Mathematical and Computational Modelling (ICM) rely on a petabyte-scale active archive built on modern storage technology.

Mateo Valero on how the MareNostrum 4 Supercomputer will Advance Science

In this video from ISC 2017, Mateo Valero from the Barcelona Supercomputing Center describes the innovations behind MareNostrum 4, the #13 supercomputer on the TOP500. “MareNostrum 4, hosted by Barcelona Supercomputing Center, is entirely aimed at generating scientific knowledge and its computer architecture has been called ‘the most diverse and interesting in the world’ by international experts. Equipped with Intel’s latest processing and networking technologies, MareNostrum provides 11.1 Petaflops of processing power to scientific production.”

Interview: Piz Daint Supercomputer advances to the #3 position on the TOP500

In this video from PASC17 in Lugano, Michele De Lorenzi from CSCS discussed the recent advancement of Piz Daint supercomputer to the #3 position on the TOP500. After that, he describes the mission of the PASC conference and the location of PASC18 next year.