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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.”

New PGI 17.7 Release Supports NVIDIA Volta GPUs

Today NVIDIA released Version 17.7 of PGI 2017 Compilers and Tools, delivering improved performance and programming simplicity to HPC developers who target multicore CPUs and heterogeneous GPU-accelerated systems.

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.”

Solving AI Hardware Challenges

For many deep learning startups out there, buying AI hardware and a large quantity of powerful GPUs is not feasible. So many of these startup companies are turning to cloud GPU computing to crunch their data and run their algorithms. Katie Rivera, of One Stop Systems, explores some of the AI hardware challenges that can arise, as well as the new tools designed to tackle these issues. 

New OrionX Survey: Insights in Artificial Intelligence

In this Radio Free HPC podcast, Dan Olds and Shahin Khan from OrionX describe their new AI Survey. “OrionX Research has completed one the most comprehensive surveys to date of Artificial Intelligence, Machine Learning, and Deep Learning. With over 300 respondents in North America, representing 13 industries, our model indicates a confidence level of 95% and a margin of error of 6%. Covering 144 questions/data points, it provides a comprehensive view of what customers are doing and planning to do with AI/ML/DL.”

Call for Participation: GTC 2018 in San Jose

The GPU Technology Conference (GTC 2018) has issued their Call for Participation. The event takes place March 26-29 in San Jose, California. “Don’t miss this unique opportunity to participate in the world’s most important GPU event, NVIDIA’s GPU Technology Conference (GTC 2018). Sign up to present a talk, poster, or lab on how GPUs power the most dynamic areas in computing today—including AI and deep learning, big data analytics, healthcare, smart cities, IoT, HPC, VR, and more.”

Overview of the MVAPICH Project and Future Roadmap

“This talk will provide an overview of the MVAPICH project (past, present and future). Future roadmap and features for upcoming releases of the MVAPICH2 software family (including MVAPICH2-X, MVAPICH2-GDR, MVAPICH2-Virt, MVAPICH2-EA and MVAPICH2-MIC) will be presented. Current status and future plans for OSU INAM, OEMT and OMB will also be presented.”

Canada’s Biggest Radio Telescope to use CoolIT Systems Liquid Cooling

With support from CoolIT Systems with a custom Direct Liquid Cooling solution, the CHIME telescope will map out the entire northern sky each day, aiming to constrain the properties and evolution of Dark Energy over a broad swath of cosmic history. “The liquid cooled system consists of 256 rack-mounted General Technics GT0180 custom 4u servers housed in 26 racks managed by CoolIT Systems Rack DCLC CHx40 Heat Exchange Modules. The custom direct contact cooling loops manage 100% of heat generated by the single Intel Xeon E5 2620v3 CPUs and the Dual AMD FirePro S9300x2 GPUs, while simultaneously pulling heat from the ambient air into the liquid coolant loops.”

NVIDIA Volta GPUs to Help CDDS Advance Medicine with AI

Over at the NVIDIA Blog, Abdul Hamid Halabi writes that the Center for Clinical Data Science (CCDS) today received the world’s first NVIDIA DGX systems with Volta. “Soon, Boston-area radiologists will have AI “assistants” integrated into their daily workflows, helping them more quickly and accurately diagnose disease from MRIs, CAT scans, X-rays and more. The trained neural networks residing on DGX-1 systems in CCDS’s data center are in a constant state of learning, continually ingesting countless medical images worldwide.”

OCF Builds Isca Supercomputer for Life Sciences at University of Exeter

Researchers from across the University of Exeter can now benefit from a new HPC machine – Isca – that was configured and integrated by OCF to give the university a larger capacity for computational research. “We’ve seen in the last few years a real growth in interest in High-Performance Computing from life sciences, particularly with the availability of new high-fidelity genome sequencers, which have heavy compute requirements, and that demand will keep going up.”