Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Researchers Use TACC, SDSC and NASA Supercomputers to Forecast Corona of the Sun

Predictive Sciences ran a large-scale simulation of the Sun’s surface in preparation for a prediction of what the solar corona will look like during the eclipse. “The Solar eclipse allows us to see levels of the solar corona not possible even with the most powerful telescopes and spacecraft,” said Niall Gaffney, a former Hubble scientist and director of Data Intensive Computing at the Texas Advanced Computing Center. “It also gives high performance computing researchers who model high energy plasmas the unique ability to test our understanding of magnetohydrodynamics at a scale and environment not possible anywhere else.”

Video: Deep Learning on Azure with GPUs

In this video, you’ll learn how to start submitting deep neural network (DNN) training jobs in Azure by using Azure Batch to schedule the jobs to your GPU compute clusters. “Previously, few people had access to the computing power for these scenarios. With Azure Batch, that power is available to you when you need it.”

RCE Podcast Looks at PBS Professional Job Scheduler

“Now available as Open Source, PBS Pro software optimizes job scheduling and workload management in high-performance computing environments – clusters, clouds, and supercomputers – improving system efficiency and people’s productivity. Built by HPC people for HPC people, PBS Pro is fast, scalable, secure, and resilient, and supports all modern infrastructure, middleware, and applications.”

SC17 Panel Preview: How Serious Are We About the Convergence Between HPC and Big Data?

SC17 will feature a panel discussion entitled How Serious Are We About the Convergence Between HPC and Big Data? “The possible convergence between the third and fourth paradigms confronts the scientific community with both a daunting challenge and a unique opportunity. The challenge resides in the requirement to support both heterogeneous workloads with the same hardware architecture. The opportunity lies in creating a common software stack to accommodate the requirements of scientific simulations and big data applications productively while maximizing performance and throughput.

Dr. Ilkay Altintas to recieve ACM SIGHPC Emerging Woman Leader in Technical Computing Award

Today SIGHPC announced that Ilkay Altintas is the inaugural winner of the ACM SIGHPC Emerging Woman Leader in Technical Computing Award. “I am thrilled that Dr. Altintas has been selected to receive the inaugural SIGHPC Emerging Woman Leader in Technical Computing Award,” commented Dr. Jeffrey Hollingsworth, interim CIO at the University of Maryland and Chair of SIGHPC, in reaction to the award committee’s decision. “Dr. Altintas’ work enables technical collaboration among different groups; this is critical not only for high performance computing, but science in general. With leaders like Dr. Altintas, the future of our field is in good hands.”

Nuñez-Corrales Awarded SIGHPC Computational Data and Science Fellowship

Santiago Nuñez-Corrales, a graduate researcher at NCSA and Ph.D. student in Informatics at the University of Illinois at Urbana-Champaign was one of twelve recipients to be awarded the SIGHPC/Intel Computational and Data Science Fellowship for 2017. “The fellowship brings with it so many benefits,” said Nuñez-Corrales. “Attending SC17 is important to keep up with development in the HPC community, and the financial support is critical to continuing my degree, as I have no funding from my home country.”

Video: HPC Powers Bioinformatics Research at Rockefeller University

In this video, researchers describe how the new HPC facility at Rockefeller University will power bioinformatics research and more. This is the first time that Rockefeller University has purpose-built a datacenter for high performance computing.

xDCI Infrastructure Manages 3D Brain Microscopy Images at RENCI

Researchers at RENCI are using xDCI Data CyberInfrastructure to manage brain microscopy images that were overwhelming the storage capacity at individual workstations. “BRAIN-I is a computational infrastructure for handling these huge images combined with a discovery environment where scientists can run applications and do their analysis,” explained Mike Conway, a senior data science researcher at RENCI. “BRAIN-I deals with big data and computation in a user-friendly way so scientists can concentrate on their science.”

Kathy Yelick to Keynote ACM Europe Conference

Kathy Yelick from LBNL will give the HPC keynote on Exascale computing at the upcoming ACM Europe Conference. With main themes centering on Cybersecurity and High Performance Computing, the event takes place Sept. 7-8 in Barcelona.

Purdue Adds New Resource for GPU-accelerated Research Computing

A new computing resource is available for Purdue researchers running applications that can take advantage of GPU accelerators. The system, known as Halstead-GPU, is a newly GPU-equipped portion of Halstead, Purdue’s newest community cluster research supercomputer. Halstead-GPU nodes consist of two 10-core Intel Xeon E5 CPUs per node, 256 GB of RAM, EDR Infiniband interconnects and two NVIDIA Tesla P100 GPUs. The GPU nodes have the same high-speed scratch storage as the main Halstead cluster.