Today Cray announced it has signed a solutions provider agreement with Mark III Systems to develop, market and sell solutions that leverage Cray’s portfolio of supercomputing and big data analytics systems. “We’re very excited to be partnering with Cray to deliver unique platforms and data-driven solutions to our joint clients, especially around the key opportunities of data analytics, artificial intelligence, cognitive compute, and deep learning,” said Chris Bogan, Mark III’s director of business development and alliances. “Combined with Mark III’s full stack approach of helping clients capitalize on the big data and digital transformation opportunities, we think that this partnership offers enterprises and organizations the ability to differentiate and win in the marketplace in the digital era.”
In this video from the HPC User Forum, Bob Sorensen from Hyperion Research moderates a panel discussion on Disruptive Technologies for HPC. “A disruptive innovation is an innovation that creates a new market and value network and eventually disrupts an existing market and value network, displacing established market leading firms, products and alliances. The term was defined and phenomenon analyzed by Clayton M. Christensen beginning in 1995.”
The Argonne Leadership Computing Facility Data Science Program (ADSP) is now accepting proposals for projects hoping to gain insight into very large datasets produced by experimental, simulation, or observational methods. The larger the data, in fact, the better. Applications are due by June 15, 2017.
Ingolf Wittmann from IBM presented this talk for the Switzerland HPC Conference. “This presentation will point out based on real examples how HPC environments can benefit from such solutions and technologies to drive cognitive solutions, machine/deep learning where we can ask ourselves, ‘What will be possible in the near future – can the future computers be smarter than humans?”
Dr. Eng Lim Goh from Hewlett Packard Enterprise gave this talk at the HPC User Forum. “SGI’s highly complementary portfolio, including its in-memory high-performance data analytics technology and leading high-performance computing solutions will extend and strengthen HPE’s current leadership position in the growing mission critical and high-performance computing segments of the server market.”
Today IBM announced that the first annual OpenPOWER Foundation Developer Congress will take place May 22-25 in San Francisco. With a focus on Machine Learning, the conference will focus on continuing to foster the collaboration within the foundation to satisfy the performance demands of today’s computing market.
“Baidu and NVIDIA are long-time partners in advancing the state of the art in AI,” said Ian Buck, general manager of Accelerated Computing at NVIDIA. “Baidu understands that enterprises need GPU computing to process the massive volumes of data needed for deep learning. Through Baidu Cloud, companies can quickly convert data into insights that lead to breakthrough products and services.”
In this AI Podcast, Mark Michalski from the Massachusetts General Hospital Center for Clinical Data Science discusses how AI is being used to advance medicine. “Medicine — particularly radiology and pathology — have become more data-driven. The Massachusetts General Hospital Center for Clinical Data Science — led by Mark Michalski — promises to accelerate that, using AI technologies to spot patterns that can improve the detection, diagnosis and treatment of diseases.”
“The basic idea of deep learning is to automatically learn to represent data in multiple layers of increasing abstraction, thus helping to discover intricate structure in large datasets. NVIDIA has invested in SaturnV, a large GPU-accelerated cluster, (#28 on the November 2016 Top500 list) to support internal machine learning projects. After an introduction to deep learning on GPUs, we will address a selection of open questions programmers and users may face when using deep learning for their work on these clusters.”