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Containers: Shifter and Singularity on Blue Waters

In this video from the Blue Waters 2018 Symposium, Maxim Belkin presents a tutorial on Containers: Shifter and Singularity on Blue Waters. “Container solutions are a great way to seamlessly execute code on a variety of platforms. Not only they are used to abstract away from the software stack of the underlying operating system, they also enable reproducible computational research. In this mini-tutorial, I will review the process of working with Shifter and Singularity on Blue Waters.”

Video: Exploring the Universe with Blue Waters

Brian O’Shea from Michigan State University gave this talk at the Blue Waters Summit. “Astronomy, astrophysics, and space sciences are fields that are inundated with data, and involve physical phenomena that are complex and cannot be explored via experiments on Earth. As a result, sophisticated simulation tools are required to make theoretical progress in understanding these phenomena, and large-scale computing is required to both analyze observational data and to execute the necessary simulations. In this talk, I will highlight some of the most important advances made in astronomy, astrophysics, and space sciences using Blue Waters, including a variety of figures and animations contributed by the user community.”

Job of the Week: Research Scientist at Intel

Intel is seeking a Research Scientist for their Extreme Scale Computing team in Oregon in our Job of the Week. “In this position, you will be responsible for conceiving, researching, and prototyping new parallel and distributed computing algorithms and frameworks, with special emphasis on machine learning and graph analytics, and you will develop relevant software and hardware technologies with the goal of converting these into products and fueling Intel’s growth. You will use your strong knowledge of scientific principles to identify and research promising technologies typically 3-5 years prior to product development. This requires a good understanding of state-of-the-art techniques in parallel computing, machine learning, distributed computing, optimization of algorithms, and bench-marking, along with a strong understanding of computer architecture.”

Video: Introduction to OpenACC

Vasileios Karakasis from CSCS gave this talk at the the Directive Based GPU Programming Workshop. “Directives-based programming facilitates the task of parallelizing your application by letting you focus on its parallel logic rather than on the very details and the low-level intricacies of the GPU architecture. In this course, we will introduce the OpenACC programming paradigms for the GPU. We will cover the parallel execution model and how it can be used to leverage parallelism, the memory model and how this differs from the classic CPU paradigm.”

Tachyum Touts Benefits of Universal Processor at HOT CHIPS

This week at the Hot Chips conference, Tachyum CEO Dr. Radoslav Danilak described how the company’s its Prodigy Universal Processor Chip combines the best attributes of CPU, GPU and TPU architectures to overcome HPC challenges. “I look forward to sharing with attendees at HOT CHIPS how a new approach is needed to overcome the challenges faced by all those in the hyperscale datacenter, HPC and AI markets.”

Women in HPC Launches Chapters and Affiliates Pilot Program

Today the Women in High Performance Computing (WHPC) group announced the launch of a Chapters and Affiliates Program to bring its vision and mission to the worldwide community and assist those passionate about diversity and inclusion in bringing about positive change in their localities. The pilot programme consists of six chapters and three affiliates across Europe and North America, and will allow WHPC to assess how a worldwide network of such chapters and affiliates might operate.

Video: Accelerated Any-Scale Ai Solutions from DDN

In this video from the DDN User Group at ISC 2018, James Coomer from DDN presents: A3I – Accelerated Any-Scale Solutions from DDN. “Engineered from the ground up for the AI-enabled data center, DDN’s A3I solutions are fully optimized to handle the spectrum of AI and DL activities concurrently: data ingest and preparation, training, validation, and inference. The DDN A3I platform is easy to deploy and manage, highly scalable in both performance and capacity, and represents a highly efficient and resilient solution for all of your current and future AI requirements.”

Podcast: From Here to Ai with Jack Wells from Oak Ridge

In this Conversations with Dez podcast, Dez Blanchfield sits down with Jack Wells from ORNL to talk about about his personal & professional life journey, his role at Oak Ridge National Lab, how Artificial Intelligence is being deployed & leveraged in HPC, and the role IBM’s POWER9 solution is playing in supporting Oak Ridge and its mission. Jack Wells is the Director of Science for the Oak Ridge Leadership Computing Facility.

SC18 Preview: Steve Furber on Brain-Inspired Massively-Parallel Computing

SC18 continues its series of Invited Talk previews with this quick look at “Brain-Inspired Massively-Parallel Computing” by Stephen Furber. “The SpiNNaker (Spiking Neural Network Architecture) platform is an example of a highly flexible digital neuromorphic platform, based upon a massively-parallel configuration of small processors with a bespoke interconnect fabric designed to support the very high connectivity of biological neural nets in real-time models. Although designed primarily to support brain science, it can also be used to explore more applications-oriented research.”

Linda Gesenhues and Markus Höhnerbach to receive George Michael Memorial HPC Fellowships

Today ACM announced that Linda Gesenhues of the Federal University of Rio de Janeiro and Markus Höhnerbach of RWTH Aachen University are the recipients of the 2018 ACM-IEEE CS George Michael Memorial HPC Fellowships. “The ACM-IEEE CS George Michael Memorial HPC Fellowship is endowed in memory of George Michael, one of the founding fathers of the SC Conference series. The fellowship honors exceptional PhD students throughout the world whose research focus is on high performance computing applications, networking, storage or large-scale data analytics using the most powerful computers that are currently available.”