Video: The First Catalan Quantum Computer
Pol Forn from the Barcelona Supercomputing Centre gave this talk at the BSC Annual Meeting. “QUANTIC is a joint venture between the Barcelona Supercomputing Center and the University of Barcelona. The research directions are focused on performing quantum computation in a laboratory of superconducting quantum circuits and studying new applications for quantum processors.” [READ MORE…]
Featured Stories
HPC Powers Evolution of Defects for Superconductors
Researchers are using supercomputers to introduce and assess the impact of different configurations of defects on the performance of a superconductor. “When people think of targeted evolution, they might think of people who breed dogs or horses,” said Argonne materials scientist Andreas Glatz, the corresponding author of the study. “Ours is an example of materials by design, where the computer learns from prior generations the best possible arrangement of defects.” [READ MORE…]
New Blueprint lays out Strategic Research Agenda for HPC in Europe
The European ETP4HPC initiative has published a blueprint for the new Strategic Research Agenda for High Performance Computing. “This blueprint sketches the big picture of the major trends in the deployment of HPC and HPDA methods and systems, driven by the economic and societal needs of Europe, taking into account the changes expected in the underlying technologies and the overall architecture of the expanding underlying HPC infrastructure.” [READ MORE…]
Colombian and Botswana Researchers Awarded ISC Travel Grant
Today ISC 2019 announced the recipients of the ISC Travel Grant this year will be from Columbia and Botswana. The winners will each be awarded a grant of 2500 euros to cover travel expenses and boarding. ISC High Performance will also provide the grant recipients free registration for the entire conference in Frankfurt, Germany. [READ MORE…]
Featured Resource
How Financial Services Can Fuel Innovation with GPU Computing
The financial services and insurance sector is one of the most data-intensive industries in modern business. Unfortunately, that abundance of information has hindered the extraction of business value from data. However, improvements in technology can take data-related challenges that had, until recently, been considered impossible to overcome. Download the new white paper from Penguin Computing that highlights how financial services and insurance firms can benefit from GPU computing and spur innovation and future technological developments.
Industry Perspectives
Epic HPC Road Trip Continues to NCAR
In this special guest feature, Dan Olds from OrionX continues his Epic HPC Road Trip series with a stop at NCAR in Boulder. “Their ability to increase model precision/resolution and to increase throughput at the same time is becoming more difficult over time due to core speed slowing down as more cores are added. In other words, new chips aren’t providing the same increase in performance as we’ve become accustomed to over the years.” [READ MORE…]
Catalyst UK Program Fosters Arm-based HPC Systems
“Clearly Arm will fit in as part of a broader HPC ecosystem, as we move towards systems that involve multiple chip architectures. In terms of scientific research, it may mean we run one stage of a simulation workflow on an Arm processor, while another stage is best carried out on another processor. By building a common fabric with multiple architectures on it, we can allow users to use the most appropriate hardware for each stage of their particular research problem.” [READ MORE…]
Featured from insideBIGDATA
- The Data Talent Market Continues Its AscentWe’re at an important inflection point in history where a glaring shortage of data-centric skills, coupled with an increasing demand for data professionals, represents a unique opportunity for those willing to make a commitment to “tool up” or “retool” as the case may be, in preparation for a career in analytics. The good thing is, […]
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Editor’s Choice
Video: Perlmutter – A 2020 Pre-Exascale GPU-accelerated System for NERSC
Nick Wright from Lawrence Berkeley Lab gave this talk at the GPU Technology Conference. “We’ll present an overview of the upcoming NERSC9 system architecture, throughput model, and application readiness efforts. Perlmutter, a Cray system based on the Shasta architecture, will be a heterogeneous system comprising both CPU-only and GPU-accelerated nodes, with a performance of more than 3 times Cori, NERSC’s current platform.” [READ MORE…]
The Pending Age of Exascale
In this special guest feature from Scientific Computing World, Robert Roe looks at advances in exascale computing and the impact of AI on HPC development. “There is a lot of co-development, AI and HPC are not mutually exclusive. They both need high-speed interconnects and very fast storage. It just so happens that AI functions better on GPUs. HPC has GPUs in abundance, so they mix very well.” [READ MORE…]
HPE to Acquire Cray for $1.3 Billion
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.” [READ MORE…]
Achieving ExaOps with the CoMet Comparative Genomics Application
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. [READ MORE…]
Video: Can FPGAs compete with GPUs?
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.” [READ MORE…]
