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Fireside Chat: Dr. Eng Lim Goh on New Trends in HPC Energy Efficiency & Deep Learning

In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning. “SGI’s leadership in data analytics derives from deep expertise in High Performance Computing and over two decades delivering many of the world’s fastest supercomputers. Leveraging this experience and SGI’s innovative shared and distributed memory computing solutions for data analytics enables organizations to achieve greater insight, accelerate innovation, and gain competitive advantage.”

Adaptive Computing Rolls Out New Reporting & Analytics Tool

“Adaptive Computing is driving up our customers’ productivity by helping them gain true insight into how their resources are being used, how to handle future capacity planning, and the service levels they are delivering to their most critical projects,” says Marty Smuin, CEO of Adaptive Computing. “This latest solution helps deliver the insights that organizations need in order to eliminate waste, avoid unnecessary delays, and make the changes that will align resources to better achieve organizational goals.”

Tencent Cloud Breaks World Record for Data Sorting with IBM & Mellanox

“Real-time-analytics and Big Data environments are extremely demanding and the network is critical in linking together the extra high performance IBM POWER based servers and Tencent Cloud’s massive amounts of data,”said Amir Prescher, Sr. Vice President, Business Development, at Mellanox Technologies. “Tencent Cloud developed an optimized hardware/software platform to achieve new computing records, showing that Mellanox’s 100Gb/s Ethernet technology can deliver total infrastructure efficiency and improves application performance, making them ideal for Big Data applications.”

DK Panda Team Launches High-Performance Deep Learning Project

Deep learning is one of the hottest topics at SC16. Now, DK Panda and his team at Ohio State University have announced an exciting new High-Performance Deep Learning project that aims to bring HPC technologies to the DL field. “Availability of large data sets like ImageNet and massively parallel computation support in modern HPC devices like NVIDIA GPUs have fueled a renewed interest in Deep Learning (DL) algorithms. This has triggered the development of DL frameworks like Caffe, Torch, TensorFlow, and CNTK. However, most DL frameworks have been limited to a single node. The objective of the HiDL project is to exploit modern HPC technologies and solutions to scale out and accelerate DL frameworks.”

Hewlett Packard Enterprise Completes Acquisition of SGI

Today Hewlett Packard Enterprise announced that it has completed its acquisition of SGI, a global leader in high performance solutions for compute, data analytics and data management, for $7.75 per share in cash. “This deal combines SGI’s computing strengths with HPE’s global reach,” said Antonio Neri, executive vice president and general manager, Enterprise Group, Hewlett Packard Enterprise. “SGI’s technologies and services will further our position in high-performance computing and give our customers the best of data management capabilities for real time analytics.”

Keynotes Announced for Intel HPC Developer Conference at SC16

The Intel HPC Developer Conference at SC16 has announced its keynote speakers. Jonathan Cohen and Kai Li from Princeton will present, Going Where Neuroscience and Computer Science Have Not Gone Before. “Taking place Nov. 12-13 in Salt Lake City, the Intel HPC Developer Conference will bring together developers from around the world to discuss code modernization in high-performance computing.”

insideHPC Research Report on GPUs

In this research report, we reveal recent research showing that customers are feeling the need for speed—i.e. they’re looking for more processing cores. Not surprisingly, we found that they’re investing more money in accelerators like GPUs and moreover are seeing solid positive results from using GPUs. In the balance of this report, we take a look at these finding and and the newest GPU tech from NVIDIA and how it performs vs. traditional servers and earlier GPU products.

Engility to Build Up HPC at FDA

“With this award, Engility expands on our long-standing partnership with the FDA to further develop their high performance computing and complex data analysis capabilities,” said Engility CEO Lynn Dugle. “We look forward to supporting the FDA’s mission to make groundbreaking treatments, such as genetics-based medicine, available to all Americans.”

Will Deep Learning Scale to Supercomputers?

Are supercomputers practical for Deep Learning applications? Over at the Allinea Blog, Mark O’Connor writes that a recent experiment with machine learning optimization on the Archer supercomputer shows that relatively simple models run at sufficiently large scale can readily outperform more complex but less scalable models. “In the open science world, anyone running a HPC cluster can expect to see a surge in the number of people wanting to run deep learning workloads over the coming months.”

OpenPOWER Gains Momentum in Europe

Growing momentum was the watchword at the inaugural OpenPOWER European Summit this week, where the OpenPOWER Foundation made a series of announcements today detailing the rapid growth, adoption and support of OpenPOWER across the continent. ” With today’s announcements by our European members, the OpenPOWER Foundation expands its reach, bringing open source, high performing, flexible and scalable solutions to organizations worldwide.”