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Drilling Down into Machine Learning and Deep Learning

Artificial intelligence and machine learning are rising in popularity as the needs of big data call for systems that exceed human capabilities. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.

Speeding Workloads at the Dell EMC HPC Innovation Lab

The Dell EMC HPC Innovation Lab, substantially powered by Intel, has been established to provide customers best practices for configuring and tuning systems and their applications for optimal performance and efficiency through blogs, whitepapers and other resources. “Dell is utilizing the lab’s world-class Infrastructure to characterize performance behavior and to test and validate upcoming technologies.”

MIT Lincoln Laboratory Takes the Mystery Out of Supercomputing

“Many supercomputer users, like the big DOE labs, are implementing these next generation systems. They are now engaged in significant code modernization efforts to adapt their key present and future applications to the new processing paradigm, and to bring their internal and external users up to speed. For some in the HPC community, this creates unanticipated challenges along with great opportunities.”

Dell EMC Powers Summit Supercomputer at CU Boulder

“The University of Colorado, Boulder supports researchers’ large-scale computational needs with their newly optimized high performance computing system, Summit. Summit is designed with advanced computation, network, and storage architectures to deliver accelerated results for a large range of HPC and big data applications. Summit is built on Dell EMC PowerEdge Servers, Intel Omni-Path Architecture Fabric and Intel Xeon Phi Knights Landing processors.”

Selecting HPC Network Technology

“With three primary network technology options widely available, each with advantages and disadvantages in specific workload scenarios, the choice of solution partner that can deliver the full range of choices together with the expertise and support to match technology solution to business requirement becomes paramount.”

Intel HPC Orchestrator Powers Research at University of Pisa

In this video, Maurizio Davini from the University of Pisa describe how the University works with Dell EMC and Intel to test new technologies, integrate and optimize HPC systems with Intel HPC Orchestrator software. “We believe these two companies are at the forefront of innovation in high performance computing,” said University CTO Davini. “We also share a common goal of simplifying HPC to support a broader range of users.”

Dell EMC Powers HPC at University of Connecticut

The University of Connecticut has partnered with Dell EMC and Intel to create a high performance computing cluster that students and faculty can use in their research. With this HPC Cluster, UConn researchers can solve problems that are computationally intensive or involve massive amounts of data in a matter of days or hours, instead of weeks. The HPC cluster operated on the Storrs campus features 6,000 CPU cores, a high-speed fabric interconnect, and a parallel file system. Since 2011, it has been used by over 500 researchers, from each of the university’s schools and colleges, for over 40 million hours of scientific computation.

HPC Networking Trends in the TOP500

The TOP500 list is a very good proxy for how different interconnect technologies are being adopted for the most demanding workloads, which is a useful leading indicator for enterprise adoption. The essential takeaway is that the world’s leading and most esoteric systems are currently dominated by vendor specific technologies. The Open Fabrics Alliance (OFA) will be increasingly important in the coming years as a forum to bring together the leading high performance interconnect vendors and technologies to deliver a unified, cross-platform, transport-independent software stack.

Dell & Intel Collaborate on CryoEM on Intel Xeon Phi

In this video from SC16, Janet Morss from Dell EMC and Hugo Saleh from Intel discuss how the two companies collaborated on accelerating CryoEM. “Cryo-EM allows molecular samples to be studied in near-native states and down to nearly atomic resolutions. Studying the 3D structure of these biological specimens can lead to new insights into their functioning and interactions, especially with proteins and nucleic acids, and allows structural biologists to examine how alterations in their structures affect their functions. This information can be used in system biology research to understand the cell signaling network which is part of a complex communication system.”

High Performance System Interconnect Technology

Today, high performance interconnects can be divided into three categories: Ethernet, InfiniBand, and vendor specific interconnects. Ethernet is established as the dominant low level interconnect standard for mainstream commercial computing requirements. InfiniBand originated in 1999 to specifically address workload requirements that were not adequately addressed by Ethernet, and vendor specific technologies frequently have a time to market (and therefore performance) advantage over standardized offerings.