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Lenovo Enables Solutions for the ‘New HPC’

The new HPC, inclusive of analytics and AI, and with its wide range of technology components and choices, presents significant challenges to a commercial enterprise. Ultimately, the new HPC brings about opportunities that are worth the challenges. This whitepaper from Lenovo outlines new markets, workloads and technologies in HPC, as well as how its own products and tech are addressing the solution needs of the “new HPC.”

BSC fosters EUCANCan Project to share and reuse cancer genomic data worldwide

Today the Barcelona Supercomputing Center announced it will foster the EUCANCan project to allow both research and cancer treatments to be shared and re-used by the European and Canadian scientific community. As demonstrated by earlier work, research that merges and reanalyzes  biomedical data from different studies significantly increases the chances of new discoveries.

Rapids: Data Science on GPUs

Christoph Angerer from NVIDIA gave this talk at FOSDEM’19. “The next big step in data science will combine the ease of use of common Python APIs, but with the power and scalability of GPU compute. The RAPIDS project is the first step in giving data scientists the ability to use familiar APIs and abstractions while taking advantage of the same technology that enables dramatic increases in speed in deep learning. This session highlights the progress that has been made on RAPIDS, discusses how you can get up and running doing data science on the GPU, and provides some use cases involving graph analytics as motivation.”

The convergence of HPC and BigData: What does it mean for HPC sysadmins?

Damien Francois gave this talk at FOSDEM’19. “The world of HPC and the world of BigData are slowly, but surely, converging. The HPC world realizes that there are more to data storage than just files and that ‘self-service’ ideas are tempting. In the meantime, the BigData world realizes that co-processors and fast networks can really speedup analytics. And indeed, all major public Cloud services now have an HPC offering. And many academic HPC centres start to offer Cloud infrastructures and BigData-related tools.”

Job of the Week: Research Engineer at Reservoir Labs in New York

Reservoir Labs is seeking a Research Engineer in our Job of the Week. We are working on some of the most interesting and challenging problems related to high-performance computing and compilers, cybersecurity, advanced algorithms, and high-performance data analytics. “You will be closely guided and mentored by one of our experienced researchers, providing you with an unparalleled learning experience. You will have the opportunity to publish your own research papers, attend client meetings and academic conferences.”

A Future for R: Parallel and Distributed Processing in R for Everyone

In this video from the European R Users Meeting, Henrik Bengtsson from the University of California San Francisco presents: A Future for R: Parallel and Distributed Processing in R for Everyone. “The future package is a powerful and elegant cross-platform framework for orchestrating asynchronous computations in R. It’s ideal for working with computations that take a long time to complete; that would benefit from using distributed, parallel frameworks to make them complete faster; and that you’d rather not have locking up your interactive R session.”

Book Review: The Model Thinker – A new way to look at Data Analysis

In this special guest feature, Carol Wells reviews the new book by Scott E. Page entitled The Model Thinker. “A hands-on reference for the working data scientist, ‘The Model Thinker’ challenges us to consider that the historical methods we have used for data analysis are no longer adequate given the complexity of today’s world. The book opens by making the case for a new way of using mathematical models to solve problems, offers a close look at a number of the models, then closes with a pair of demonstrations of the method.”

IBM’s Plan to bring Machine Learning Capabilities to Data Scientists Everywhere

Over at the IBM Blog, IBM Fellow Hillary Hunter writes that the company anticipates that the world’s volume of digital data will exceed 44 zettabytes, an astounding number. “IBM has worked to build the industry’s most complete data science platform. Integrated with NVIDIA GPUs and software designed specifically for AI and the most data-intensive workloads, IBM has infused AI into offerings that clients can access regardless of their deployment model. Today, we take the next step in that journey in announcing the next evolution of our collaboration with NVIDIA. We plan to leverage their new data science toolkit, RAPIDS, across our portfolio so that our clients can enhance the performance of machine learning and data analytics.”

Job of the Week: Data Scientist at Booz Allen

Booz Allen is seeking a Data Scientist in our Job of the Week. “We have an opportunity for you to use your analytical skills to improve geospatial intelligence. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll explore data from various sources, discover patterns and previously hidden insights to address business problems, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in geospatial intelligence.”

DDN to showcase World’s Fastest Storage and more at SC18

Today DDN announced it will showcase a number of new innovations optimized for HPC, AI and hybrid cloud at SC18 in Dallas. Designed, optimized and right-sized for commercial HPC, AI, deep learning (DL), and exascale computing, DDN’s new products and solutions are fully integrated for any data-at-scale need. “DDN continues to advance powerful new storage solutions, and we’re excited to see its latest offerings at SC18 next week.”