Intel® HPC Developer Conference 2017
The presentation describes how to use Docker* and Singularity* containers on Intel® Xeon Phi™ processors with Intel® Omni-Path Architecture, as well as integration with the Intel® MPI Library. Compare performance results obtained using containers with bare metal results.
Piotr Uminski, Intel
In Fall 2016, NERSC brought in the Cori system, which contains over 9,000 Intel® Xeon Phi™ processors. This session discusses the process and lessons learned in porting the NERSC workload to this system.
Jack Deslippe and Richard Gerber, NERSC
We present our QoS Planner for Lustre* and introduce how we faced different requirements of HPC administrators. Besides usability and its integration into existing batch systems, the performance, reliability, and flexibility of the QoS planner opened many program and design challenges.
Tim Suess, Johannes Gutenberg University
There are a multitude of factors that go into successfully implementing a deep learning solution. These encompass hardware, software, data ingestion and processing, choosing a model, and so on. This talk outlines our design criteria, the challenges faced, and our resolutions while architecting an optimal deep learning platform using Intel technologies.
Nishanth Dandapanthula, Dell Technologies*
Today’s big data and machine learning workloads are already being throttled by tomorrow’s platforms. Acceleration is the new key to enabling these workloads. Bigstream has developed a hyperacceleration platform that automatically accelerates these workloads on CPUs, GPUs, and FPGAs without changing application code.
Balavinayagam Samynathan, Bigstream
This session focuses on the best practices for using Intel® Memory Drive Technology in a diverse set of HPC codes, demonstrating strong and weak points of hybrid memory approach. Become familiar with hybrid memory approach using DRAM and 3D XPoint™ Memory Media based on Intel Optane™ technology.
Vladimir Mironov, Lomonosov Moscow State University
Yuri Alexeev, Argonne National Laboratory, Leadership Computing Facility
Andrey Kudryavtsev, Intel
Igor Chernykh, Institute of Computational Mathematics and Mathematical Geophysics SB RAS
This talk provides a brief summary of the experiences of Stampede 1, plus details the design and architecture of Stampede 2, which includes a number of Intel® technologies.
Dan Stanzione, Texas Advanced Computing Center, University of Texas
This talk introduces the distributed application object storage (DAOS) architecture, data model, and API. It also provides materials that enable application and I/O middleware developers to program to the DAOS API productively.
Kalyana Chadalavada, Intel
OpenHPC is a validated software stack of prepackaged components that can be used to install and support HPC systems throughout their lifecycle. Allowing multiple system configurations that leverage community reference designs and best practices, OpenHPC enables faster time to insight.
Jeff Adams, Intel
PBS Professional is architected for exascale and Optimizes HPC resources (clusters, clouds, licenses, data, even power) to ensure site-specific policies, maximize efficiency, deliver resilience and security, and provide data management.
Scott Suchyta, Altair
Infrastructure as a service (IaaS) has been playing a prominent role in enterprise IT for some time. It enables the automation and self-service capabilities many organizations are looking for in their IT services in order to streamline operations and increase efficiency. This session discusses the collaboration between UberCloud*, Hewlett Packard Enterprise (HPE) and Intel with the Living Heart Project.
Wolfgang Gentzsch and Burak Yenier, UberCloud*