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SC17 Invited Talk to Explore the History of the TOP500

SC17 continues their series of session previews with a look at an invited talk entitled “The TOP500 List – Past, Present and Future.” Published twice a year, the TOP500 list is a compilation of the world’s 500 largest installations and some of their main characteristics. Systems are ranked according to their performance on the Linpack […]

Machine & Deep Learning: Practical Deployments and Best Practices for the Next Two Years

Arno Kolster from Providentia Worldwide gave this talk at the HPC User Forum in Milwaukee. “Providentia Worldwide is a new venture in technology and solutions consulting which bridges the gap between High Performance Computing and Enterprise Hyperscale computing. We take the best practices from the most demanding compute environments in the world and apply those techniques and design patterns to your business.”

Kubernetes Meets HPC

“While the notion of packaging a workload into a Docker container, publishing it to a registry, and submitting a YAML description of the workload is second nature to users of Kubernetes, this is foreign to most HPC users. An analyst running models in R, MATLAB or Stata simply wants to submit their simulation quickly, monitor their execution, and get a result as quickly as possible.”

AI Breakthroughs and Initiatives at the Pittsburgh Supercomputing Center

Nick Nystrom and Paola Buitrago from PSC gave this talk at the HPC User Forum in Milwaukee. “The Bridges supercomputer at PSC offers the possibility for experts in fields that never before used supercomputers to tackle problems in Big Data and answer questions based on information that no human would live long enough to study by reading it directly.”

Benefits of Multi-rail Cluster Architectures for GPU-based Nodes

Craig Tierney from NVIDIA gave this talk at the MVAPICH User Group meeting. “As high performance computing moves toward GPU-accelerated architectures, single node application performance can be between 3x and 75x faster than the CPUs alone. Performance increases of this size will require increases in network bandwidth and message rate to prevent the network from becoming the bottleneck in scalability. In this talk, we will present results from NVLink enabled systems connected via quad-rail EDR Infiniband.”

Entering the Era of Simulation Driven Design

In this special guest feature, Robert Roe from Scientific Computing World reports from the European Altair Technology Conference and finds that simulation-driven design is taking center stage for the CAE industry. “Jim Scapa from Altair noted that Scapa noted that big data and the cloud will continue to play a significant role in the development and consumption of software and that manufacturing methods and materials science would continue to drive innovations – particularly in areas such as additive manufacturing and the design of composites.”

Video: Best Practices between HPC centers and Industrial Users

Bill Kramer from NCSA gave this talk at the HPC User Forum in Milwaukee. “NCSA and Hyperion Research released a new study that examines HPC and Industry partnerships. Aimed at identifying and understanding best practices in partnerships between public high performance computing centers and private industry, the study aims to promote the vital transfer of scientific knowledge to industry and the important transfer of industrial experience to the scientific community.”

Video: Characterization and Benchmarking of Deep Learning

 Natalia Vassilieva from HP Labs gave this talk at the HPC User Forum in Milwaukee. “Our Deep Learning Cookbook is based on a massive collection of performance results for various deep learning workloads on different hardware/software stacks, and analytical performance models. This combination enables us to estimate the performance of a given workload and to recommend an optimal hardware/software stack for that workload. Additionally, we use the Cookbook to detect bottlenecks in existing hardware and to guide the design of future systems for artificial intelligence and deep learning.”

Call for Submissions: Supercomputing Asia 2018 in Singapore

The inaugural Supercomputing Asia conference has issued its Call for Technical Papers. The event takes place March 26-29, 2018 in Singapore.

MIT Paper Sheds Light on How Neural Networks Think

MIT researchers have developed a new general-purpose technique sheds light on inner workings of neural nets trained to process language. “During training, a neural net continually readjusts thousands of internal parameters until it can reliably perform some task, such as identifying objects in digital images or translating text from one language to another. But on their own, the final values of those parameters say very little about how the neural net does what it does.”