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Rack Scale Composable Infrastructure for Mixed Workload Data Centers

A more flexible, application-centric, datacenter architecture is required to meet the needs of rapidly changing HPC applications and hardware. In this guest post, Katie Rivera of One Stop Systems explores how rack-scale composable infrastructure can be utilized for mixed workload data centers. 

Inside the new NVIDIA DGX-2 Supercomputer with NVSwitch

In this video from the GPU Technology Conference, Marc Hamilton from NVIDIA describes the new DGX-2 supercomputer with the NVSwitch interconnect. “NVIDIA NVSwitch is the first on-node switch architecture to support 16 fully-connected GPUs in a single server node and drive simultaneous communication between all eight GPU pairs at an incredible 300 GB/s each. These 16 GPUs can be used as a single large-scale accelerator with 0.5 Terabytes of unified memory space and 2 petaFLOPS of deep learning compute power. With NVSwitch, we have 2.4 terabytes a second bisection bandwidth, 24 times what you would have with two DGX-1s.”

Let’s Talk Exascale: Software Ecosystem for High-Performance Numerical Libraries

In this Let’s Talk Exascale podcast, Lois Curfman McInnes from Argonne National Laboratory describes the Extreme-scale Scientific Software Development Kit (xSDK) for ECP, which is working toward a software ecosystem for high-performance numerical libraries. “The project is motivated by the need for next-generation science applications to use and build on diverse software capabilities that are developed by different groups.”

Broad Institute and Intel Advance Genomics

The Broad Institute of MIT and Harvard in collaboration with Intel, is playing a major role in accelerating genomic analysis. This guest post from Intel explores how the two are working together to ‘reach levels of analysis that were not possible before.’

A World of Opportunities for HPC and AI

In this special guest feature, Dr. Eng Lim Goh from HPE shares the endless possibilities of supercomputing and AI, and the challenges that stand in the way. “Can AI systems continue to learn and evolve based on historical data, and then predict – with breakneck speed – the exact time to buy or sell stocks? Of course they can – and with precision that comes close to replicating other predictive models, and usually in a fraction of the time.”

The U.S. Exascale Computing Project: Status and Plans

In this video from the 2018 Rice Oil & Gas Conference, Doug Kothe from ORNL provides an update on the Exascale Computing Project. “The quest to develop a capable exascale ecosystem is a monumental effort that requires the collaboration of government, academia, and industry. Achieving exascale will have profound effects on the American people and the world—improving the nation’s economic competitiveness, advancing scientific discovery, and strengthening our national security.”

NVIDIA Makes Visualization Easier in the Cloud

Visualizing the results of a simulation can give new insight into complex scientific problems. Interactive viewing of entire datasets can lead to earlier understanding of the challenge at hand and can enhance the understanding of complex phenomena. With the release of the of HPC Visualization Containers with the NVIDIA CPU Cloud, it has become much easier to get a visualization system up and production ready much quicker than ever before.

IBM Launches Deep Learning as a Service

“IBM’s goal is to make it easier for you to build your deep learning models. Deep Learning as a Service has unique features, such as Neural Network Modeler, to lower the barrier to entry for all users, not just a few experts. The enhancements live within Watson Studio, our cloud-native, end-to-end environment for data scientists, developers, business analysts and SMEs to build and train AI models that work with structured, semi-structured and unstructured data — while maintaining an organization’s existing policy/access rules around the data.”

Radio Free HPC Looks at Immortality through Nectome’s Mind Archival

In this podcast, the Radio Free HPC team goes off the supercomputing rails a bit with a discussion on digital immortality. “A new company called Nectome will reportedly archive your mind for future uploading to a machine. While the price of $10K seems reasonable enough, they do have to kill you to complete the process.”

Podcast: Power and Peformance Optimization at Exascale

In this Let’s Talk Exascale podcast, Tapasya Patki of Lawrence Livermore National Laboratory dicusses ECP’s Power Steering Project. “Efficiently utilizing procured power and optimizing the performance of scientific applications at exascale under power and energy constraints are challenging for several reasons. These include the dynamic behavior of applications, processor manufacturing variability, and increasing heterogeneity of node-level components.”