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Video: Deep Learning on Azure with GPUs

In this video, you’ll learn how to start submitting deep neural network (DNN) training jobs in Azure by using Azure Batch to schedule the jobs to your GPU compute clusters. “Previously, few people had access to the computing power for these scenarios. With Azure Batch, that power is available to you when you need it.”

SC17 Panel Preview: How Serious Are We About the Convergence Between HPC and Big Data?

SC17 will feature a panel discussion entitled How Serious Are We About the Convergence Between HPC and Big Data? “The possible convergence between the third and fourth paradigms confronts the scientific community with both a daunting challenge and a unique opportunity. The challenge resides in the requirement to support both heterogeneous workloads with the same hardware architecture. The opportunity lies in creating a common software stack to accommodate the requirements of scientific simulations and big data applications productively while maximizing performance and throughput.

Nuñez-Corrales Awarded SIGHPC Computational Data and Science Fellowship

Santiago Nuñez-Corrales, a graduate researcher at NCSA and Ph.D. student in Informatics at the University of Illinois at Urbana-Champaign was one of twelve recipients to be awarded the SIGHPC/Intel Computational and Data Science Fellowship for 2017. “The fellowship brings with it so many benefits,” said Nuñez-Corrales. “Attending SC17 is important to keep up with development in the HPC community, and the financial support is critical to continuing my degree, as I have no funding from my home country.”

Video: HPC Powers Bioinformatics Research at Rockefeller University

In this video, researchers describe how the new HPC facility at Rockefeller University will power bioinformatics research and more. This is the first time that Rockefeller University has purpose-built a datacenter for high performance computing.

More Than Ever, Vectorization and Multithreading are Essential for Performance

Employing a hybrid of MPI across nodes in a cluster, multithreading with OpenMP* on each node, and vectorization of loops within each thread results in multiple performance gains. In fact, most application codes will run slower on the latest supercomputers if they run purely sequentially. This means that adding multithreading and vectorization to applications is now essential for running efficiently on the latest architectures.

Philip Diamond from SKA Project to Keynote SC17

Professor Philip Diamond, Director General of the international Square Kilometer Array (SKA) project, will be the keynote speaker at SC17. “Professor Diamond, accompanied by Dr. Rosie Bolton, SKA Regional Centre Project Scientist, will take SC17 attendees around the globe and out into the deepest reaches of the observable universe as they describe the SKA’s international partnership that will map and study the entire sky in greater detail than ever before.”

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.

AI and Blockchain Companies Partner to Advance Healthcare Research

Today Insilico Medicine announced a research collaboration with The Bitfury Group, the world’s leading full-service blockchain technology conglomerate, to develop novel solutions for healthcare applications. The companies signed a memorandum of understanding (MOU) to collaborate in the academic and commercial settings to develop AI on Blockchain solutions for the healthcare industry.

Blockchain can secure and streamline our medical systems, while AI has the potential to revitalize data management and machine learning to help identify trends and diseases,” said Valery Vavilov, founder, and CEO of The Bitfury Group. “By partnering with Insilico, we will be able to combine their expertise in deep learning and bioinformatics with our Blockchain proficiency and real-time solutions to create bespoke and innovative new products for the healthcare sector.”

Call for Abstracts: Intel HPC Developer Conference at SC17

“The Intel HPC Developer Conference 2017 has become the place for developers to learn about the latest trends, developments, and the future of HPC. By submitting an abstract and speaking at the conference you will be able to reach top-level decision makers within the HPC industry.”

Heroes of Deep Learning: Yuanqing Lin

In this video from the Heroes of Deep Learning series, Andrew Ng interviews Head of Baidu Research, Yuanqing Lin. “Baidu Research brings together global research talent to work on AI technologies in areas such as image recognition, speech recognition, high performance computing, natural language processing and deep learning. Baidu Research comprises four labs: the Silicon Valley AI Lab, the Institute of Deep Learning, the Big Data Lab and the Augmented Reality Lab.”