In this AI Podcast, Brant Robertson from UC Santa Cruz describes how astronomers are turning to AI to turn the vast quantities of data that will be pouring out of next-generation telescopes into world-changing scientific discoveries. “Good news: astronomers are getting new tools to let them see further, better than ever before. The bad news: they’ll soon be getting more data than humans can handle.”
CosmoGAN Neural Network to Study Dark Matter
May 18, 2019 by Leave a Comment
As cosmologists and astrophysicists delve deeper into the darkest recesses of the universe, their need for increasingly powerful observational and computational tools has expanded exponentially. From facilities such as the Dark Energy Spectroscopic Instrument to supercomputers like Lawrence Berkeley National Laboratory’s Cori system at NERSC, they are on a quest to collect, simulate, and analyze […]
HPE to Acquire Cray for $1.3 Billion
May 17, 2019 by 1 Comment
Today HPE announced that the company has entered into a definitive agreement to acquire Cray for approximately $1.3 billion. “This pending deal will bring together HPE, the global HPC market leader, and Cray, whose Shasta architecture is under contract to power America’s two fastest supercomputers in 2021,” said Steve Conway from Hyperion Research. “The Cray addition will boost HPE’s ability to pursue high-end procurements and will speed the combined company’s development of next-generation technologies that will benefit HPC and AI-machine learning customers at all price points.”
Achieving ExaOps with the CoMet Comparative Genomics Application
May 16, 2019 by Leave a Comment
Wayne Joubert’s talk at the HPC User Forum described how researchers at the US Department of Energy’s Oak Ridge National Laboratory (ORNL) achieved a record throughput of 1.88 ExaOps on the CoMet algorithm. As the first science application to run at the exascale level, CoMet achieved this remarkable speed analyzing genomic data on the recently launched Summit supercomputer.
Video: Can FPGAs compete with GPUs?
May 15, 2019 by Leave a Comment
John Romein from ASTRON gave this talk at the GPU Technology Conference. “We’ll discuss how FPGAs are changing as a result of new technology such as the Open CL high-level programming language, hard floating-point units, and tight integration with CPU cores. Traditionally energy-efficient FPGAs were considered notoriously difficult to program and unsuitable for complex HPC applications. We’ll compare the latest FPGAs to GPUs, examining the architecture, programming models, programming effort, performance, and energy efficiency by considering some real applications.”
EuroHPC – The EU Strategy in High Performance Computing
May 14, 2019 by 2 Comments
Thomas Skordas from the European Commission gave this talk at EuroHPC Summit Week in Poland. “The EuroHPC Summit Week brings together relevant European supercomputing stakeholders and decision makers, allowing them to share on the one hand their needs and future expectations and on the other hand the latest technological developments, to define synergies and participate in shaping the future of European supercomputing.”
Diagnose Network Problems Faster with Mellanox WJH Technology
May 13, 2019 by Leave a Comment
Today Mellanox announced an advanced Network Telemetry technology that provides visibility into Data Plane Anomalies – for public cloud, private cloud and enterprise computing. “What Just Happened (WJH) is a new intelligent monitoring technology that goes well beyond conventional streaming telemetry and Inband Network Telemetry (INT) offerings. Every customer who has tried WJH has been amazed at how quickly they were able to discover behavior they never knew was occurring in their network.”
Design Work Completed for SKA Telescope Supercomputer
May 12, 2019 by 1 Comment
An international group of scientists led by the University of Cambridge has finished designing the ‘brain’ of the Square Kilometre Array (SKA), the world’s largest radio telescope. When complete, the SKA will enable astronomers to monitor the sky in unprecedented detail and survey the entire sky much faster than any system currently in existence. “We estimate SDP’s total compute power to be around 250 PFlops – that’s 25% faster than IBM’s Summit, the current fastest supercomputer in the world.”
Video: Jupyter as the Interface to High Performance Computing
May 12, 2019 by Leave a Comment
In this video, researchers describe how the Jupyter notebook has become one of the tools of choice for the data science and high-performance computing communities. “This webinar will provide an overview of why Jupyter is gaining traction in education, data science, and HPC, with emphasis on how notebooks can be used as interactive documents for exploration and reporting. We will present an overview of how Jupyter works and how the network protocol can be leveraged for both a local single machine and remote-cluster work.”
Video: The Exascale Computing Project and the Future of HPC
May 10, 2019 by Leave a Comment
Doug Kothe from ORNL presented this ACM Tech Talk in April, 2019. “The ECP is designing the software infrastructure to enable the next generation of supercomputers—systems capable of more than 1018 operations per second—to effectively and efficiently run applications that address currently intractable problems of strategic importance. The ECP is creating and deploying an expanded and vertically integrated software stack on DOE HPC exascale and pre-exascale systems, thereby defining the enduring US exascale ecosystem.”
