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Video: A Fast, Scaleable HPC Engine for Data Ingest

David Wade from Integral Engineering gave this talk at the Stanford HPC Conference. “In this talk, a design is sketched for an engine to ingest data from the IOT massively into a cluster for analysis, storage and transformation using COTS methods from High Performance Computing techniques in hardware and software.”

Scalable Machine Learning: The Role of Stratified Data Sharding

Srinivasan Parthasarathy from Ohio State University gave this talk at the Stanford HPC Conference. “With the increasing popularity of structured data stores, social networks and Web 2.0 and 3.0 applications, complex data formats, such as trees and graphs, are becoming ubiquitous. I will discuss a critical element at the heart of this challenge relates to the sharding, placement, storage and access of such tera- and peta- scale data.”

Announcing Google’s New TPU Dev Board for Machine Learning on the Edge

Google just launched Coral, a Beta platform for building intelligent devices with local AI. To enable this initiative, Google is making an edge version of its TensorFlow Processing Unit available for sale for the first time. “Our first hardware components feature the new Edge TPU, a small ASIC designed by Google that provides high-performance ML inferencing for low-power devices. For example, it can execute state-of-the-art mobile vision models such as MobileNet V2 at 100+ fps, in a power efficient manner.”

Accelerating Machine Learning on VMware vSphere with NVIDIA GPUs

Mohan Potheri from VMware gave this talk at Stanford HPC Conference. “This session introduces machine learning on vSphere to the attendee and explains when and why GPUs are important for them. Basic machine learning with Apache Spark is demonstrated. GPUs can be effectively shared in vSphere environments and the various methods of sharing are addressed here.”

Video: Access the Future Today with Quantum Computing

Dr. Dario Gil gave this talk at the IBM Think conference. “For two years now, IBM has enabled more than 100,000 people around the globe to access quantum computers for learning, research, and tackling new problems. IBM’s Dario Gil will discuss this radically different approach to computing built on the laws of quantum mechanics and how the roadmap for mainstream adoption of this new technology is being forged today by IBM in collaboration with a global community across business, academia and research.”

Interview: HPC User Forum in Santa Fe to look at Supercomputing Technology Trends

Hyperion Research will host the next HPC User Forum April 1-3 in Santa Fe, New Mexico. Now in its 20th year, the HPC User Forum has grown to 150 members from government, industry, and academia. To learn more, insideHPC caught up with Steve Conway from Hyperion Research.

Agenda Posted for Dell EMC Community Event in Austin

The Dell EMC Community Meeting has published their preliminary speaker agenda. The event takes place March 25-27 in Austin, Texas. The Dell HPC Community is a worldwide technical forum that facilitates the exchange of ideas among researchers, computer scientists, executives, developers, and engineers and promotes the advancement of innovative, powerful HPC solutions. The vision of the […]

How to Design Scalable HPC, Deep Learning and Cloud Middleware for Exascale Systems

DK Panda from Ohio State University gave this talk at the Stanford HPC Conference. “This talk will focus on challenges in designing HPC, Deep Learning, and HPC Cloud middleware for Exascale systems with millions of processors and accelerators. For the HPC domain, we will discuss about the challenges in designing runtime environments for MPI+X (PGAS – OpenSHMEM/UPC/CAF/UPC++, OpenMP, and CUDA) programming models taking into account support for multi-core systems (Xeon, OpenPower, and ARM), high-performance networks, GPGPUs (including GPUDirect RDMA), and energy-awareness.”

Spack – A Package Manager for HPC

Todd Gamblin from LLNL gave this talk at the Stanford HPC Conference. “Spack is a package manager for cluster users, developers and administrators. Rapidly gaining popularity in the HPC community, like other HPC package managers, Spack was designed to build packages from source. This talk will introduce some of the open infrastructure for distributing packages, challenges to providing binaries for a large package ecosystem and what we’re doing to address problems.”

Call for Submissions: OpenMPCon and IWOMP 2019 in New Zealand

The OpenMP community has issued its Call for Submissions for OpenMPCon 2019 and IWOMP 2019. The events take place September 9-13 in Auckland, New Zealand. “OpenMPCon is the annual conference for OpenMP developers to discuss of all aspects of parallel programming with OpenMP. The International Workshop on OpenMP (IWOMP) is an annual workshop dedicated to the promotion and advancement of all aspects of parallel programming with OpenMP.”