Supercomputer Shaheen II Flying Full Speed at KAUST

At King Abdullah University of Science and Technology, high-performance computing is in our DNA. We launched our first supercomputer Shaheen I at our university’s founding in 2009. Six years later, we put Shaheen II, our second system, into service. Since its launch in 2015, Shaheen II has been the computational engine behind several record-breaking simulations and many significant discoveries. It’s the largest and most powerful supercomputer in the Middle East, and its speed and performance have attracted some of the brightest computationally oriented scholars from all over the world. As such, Shaheen II has been integral in assisting KAUST to grow as a destination for science and technology research. A fun fact about Shaheen is that ... [ Read More ]

3 Reasons Why CosmoFlow on a Cray System is a Big Deal

Today, Cray, NERSC (the National Energy Research Scientific Computing Center at Lawrence Berkeley National Laboratory) and Intel announced the results of a three-way collaboration around CosmoFlow, a deep learning 3D convolutional neural network (CNN) that can predict cosmological parameters with unprecedented accuracy using the Intel-powered Cray® XC™ series “Cori” supercomputer at NERSC. Supercomputers are unique in their ability to be instruments of discovery for problems on the smallest and largest of scales — from subatomic scale to the cosmos. Cosmologists who study the origin, evolution and eventual fate of the universe use a combination of empirical observations and theoretical computer simulations to define and refine a ... [ Read More ]

Building a Computing Architecture for Drug Discovery

We recently had the pleasure of helping Jason Roszik and his colleagues at the University of Texas MD Anderson Cancer Center in developing a high-throughput architecture supporting their work in identifying combination therapies for cancer. This work sits at the interface of some major technology, processing and clinical trends, and it was quite an eye-opener — as well as a motivation — for us on how to use Cray-developed systems and processing technologies to build a useful and productive high-throughput IT architecture. The first trend, of course, is next-generation sequencing (NGS). Costs are going down and sequencing throughput is going up dramatically, to where today’s NGS companies state they can process tens of human genomes a ... [ Read More ]

Leading the Charge for Cancer Research

Prof. Rick Stevens with Argonne National Laboratory is using deep learning to help move science closer to curing cancer.

Cancer has proven itself a formidable opponent. But every opponent has a weakness — and Rick Stevens is working to identify it, exploit it... and, ultimately, bring the disease to its knees. How? With supercomputing-powered deep learning. Prof. Stevens is an associate laboratory director at Argonne National Laboratory (ANL) and a principal investigator on a program that’s part of the “Cancer Moonshot” — a sweeping “all government” approach to the problem of cancer. Called the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C), the program relies on team science, bringing the combined forces of U.S. Department of Energy (DOE) supercomputing labs and the National Cancer Institute (NCI) and its national laboratory to ... [ Read More ]

How HPC Can Help Tap the Power of Ocean Waves

“What’s amazing about ocean wave energy is the enormity of the resource sitting there,” says Ashkan Rafiee. “Whoever solves this riddle will make a huge impact on the world.” Dr. Rafiee is the hydrodynamics team leader for Carnegie Clean Energy — an Australian wave, solar and battery energy company well on its way to making wave power a reality. For the last decade, Carnegie has been developing a wave energy device that converts ocean swell into zero-emission, renewable power and desalinated freshwater. Dubbed “CETO,” the device is already in use off of Western Australia’s Garden Island, helping power the country’s largest naval base. But deploying wave energy technology at scale is another matter. “The potential is phenomenal,” says ... [ Read More ]