Jeffrey Welser from IBM Research Almaden presented this talk at the Stanford HPC Conference. “Whether exploring new technical capabilities, collaborating on ethical practices or applying Watson technology to cancer research, financial decision-making, oil exploration or educational toys, IBM Research is shaping the future of AI.”
Purdue University is seeking a Senior HPC Systems Administrator in our Job of the Week. “In this role, you will assist world renowned researchers in advancing science. Additionally, as Senior HPC Systems Administrator, you will be responsible for large sections of Purdue’s innovative computational research environment and help set direction of future research systems. This role requires an individual to work closely with researchers, systems administrators, and developers throughout the University and partner institutions to develop large-impact projects and computational systems.”
Francis Lam from Huawei presented this talk at the Stanford HPC Conference. “High performance computing is rapidly finding new uses in many applications and businesses, enabling the creation of disruptive products and services. Huawei, a global leader in information and communication technologies, brings a broad spectrum of innovative solutions to HPC. This talk examines Huawei’s world class HPC solutions and explores creative new ways to solve HPC problems.
Over at TACC, Faith Singer-Villalobos writes that researchers are using the Rustler supercomputer to tackle Big Data from self-driving connected vehicles (CVs). “The volume and complexity of CV data are tremendous and present a big data challenge for the transportation research community,” said Natalia Ruiz-Juri, a research associate with The University of Texas at Austin’s Center for Transportation Research. While there is uncertainty in the characteristics of the data that will eventually be available, the ability to efficiently explore existing datasets is paramount.
High-performance computing (HPC) tools are helping financial firms survive and thrive in this highly demanding and data-intensive industry. As financial models grow in complexity and greater amounts of data must be processed and analyzed on a daily basis, firms are increasingly turning to HPC solutions to exploit the latest technology performance improvements. Suresh Aswani, Senior Manager, Solutions Marketing, at Hewlett Packard Enterprise, shares how to overcome the learning curve of new processor architectures.
In his keynote, Mr. Geist will discuss the need for future Department of Energy supercomputers to solve emerging data science and machine learning problems in addition to running traditional modeling and simulation applications. In August 2016, the Exascale Computing Project (ECP) was approved to support a huge lift in the trajectory of U.S. High Performance Computing (HPC). The ECP goals are intended to enable the delivery of capable exascale computers in 2022 and one early exascale system in 2021, which will foster a rich exascale ecosystem and work toward ensuring continued U.S. leadership in HPC. He will also share how the ECP plans to achieve these goals and the potential positive impacts for OFA.
DK Panda from Ohio State University presented this deck at the 2017 HPC Advisory Council Stanford Conference. “This talk will focus on challenges in designing runtime environments for exascale systems with millions of processors and accelerators to support various programming models. We will focus on MPI, PGAS (OpenSHMEM, CAF, UPC and UPC++) and Hybrid MPI+PGAS programming models by taking into account support for multi-core, high-performance networks, accelerators (GPGPUs and Intel MIC), virtualization technologies (KVM, Docker, and Singularity), and energy-awareness. Features and sample performance numbers from the MVAPICH2 libraries will be presented.”
In this podcast, the Radio Free HPC team discusses a recent presentation by John Gustafson on Next Generation Computer Arithmetic. “A new data type called a “posit” is designed for direct drop-in replacement for IEEE Standard 754 floats. Unlike unum arithmetic, posits do not require interval-type mathematics or variable size operands, and they round if an answer is inexact, much the way floats do. However, they provide compelling advantages over floats, including simpler hardware implementation that scales from as few as two-bit operands to thousands of bits.”
The PEARC17 Conference has issued its Call for Participation. Formerly known as the Extreme Science and Engineering Discovery Environment (XSEDE) annual conference, PEARC17 will take place July 9-13 in New Orleans. “The Technical Program for the PEARC17 includes four Paper tracks, Tutorials, Posters, a Visualization Showcase and Birds of a Feather (BoF) sessions. All submissions should emphasize experiences and lessons derived from operation and use of advanced research computing on campuses or provided for the academic and open science communities. Submissions aligned with the conference theme—Sustainability, Success, and Impact—are particularly encouraged.”
Today Intel announced the open-source BigDL, a Distributed Deep Learning Library for the Apache Spark* open-source cluster-computing framework. “BigDL is an open-source project, and we encourage all developers to connect with us on the BigDL Github, sample the code and contribute to the project,” said Doug Fisher, senior vice president and general manager of the Software and Services Group at Intel.