Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “pre-exascale” award), parsed out …
Always a hard-fought competition, the Student Cluster Competition awards were announced Wednesday, June 21, at the ISC High Performance Conference 2017. Amid whoops and hollers from the crowd, Th …
IBM jumped into the weather forecasting business roughly a year and a half ago by purchasing The Weather Company. This week at ISC 2017, Big Blue rolled out plans to push deeper into climate scie …
June 22, 2017
The care, feeding and sustained growth of the HPC industry increasingly is in the hands of the commercial market sector – in particular, it’s the hyperscale Read more…
June 22, 2017
I've seen the future this week at ISC, it’s on display in prototype or Powerpoint form, and it’s going to dumbfound you. The future is an AI neural network Read more…
June 20, 2017
Cray took one more step toward the convergence of big data and high performance computing (HPC) today when it announced that it’s adding a full suite of big d Read more…
June 20, 2017
AMD is charging back into the enterprise datacenter and select HPC workflows with its new EPYC 7000 processor line, code-named Naples, announced today at a “g Read more…
June 20, 2017
To be at the ISC conference in Frankfurt this week is to experience deep immersion in deep learning. Users want to learn about it, vendors want to talk about it Read more…
June 19, 2017
OpenACC is strutting its stuff at ISC this year touting expanding membership, a jump in downloads, favorable benchmarks across several architectures, new staff Read more…
June 19, 2017
Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…
June 17, 2017
Deep learning is the latest and most compelling technology strategy to take aim at the decades-old “drowning in data/starving for insight” problem. But cont Read more…
June 15, 2017
The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…
June 15, 2017
As open source hardware gains traction, the potential for a completely open source supercomputing system becomes a compelling proposition, one that is being inv Read more…
June 15, 2017
High-performance networking company Mellanox is announcing a new protocol it’s calling SHIELD, an acronym for “Self Healing Interconnect Enhancement for int Read more…
June 14, 2017
As deputy chair of Industrial Day at ISC next week, my goal is to help bring clarity to the key opportunities and challenges afforded by HPC-scale technologies, including the specific barriers commercial companies are likely to encounter... Read more…
June 13, 2017
On the eve of ISC 2017 and the next release of the Top500 list, Japan’s RIKEN Advanced Institute for Computational Science has posted an extensive study by IDC that compares and contrasts international efforts on pre-exascale and early exascale plans. Read more…
June 12, 2017
At a time when university graduates in science and engineering may find job markets difficult, thousands of well-paying jobs go unfilled across the world becaus Read more…
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
Karlsruhe Institute of Technology (KIT) is an elite public research university located in Karlsruhe, Germany and is engaged in a broad range of disciplines in natural sciences, engineering, economics, humanities, and social sciences. For institutions like KIT, HPC has become indispensable to cutting-edge research in these areas.
KIT’s HoreKa supercomputer supports hundreds of research initiatives including a project aimed at predicting when the Earth’s ozone layer will be fully healed. With HoreKa, projects like these can process larger amounts of data enabling researchers to deepen their understanding of highly complex natural processes.
Read this case study to learn how KIT implemented their supercomputer powered by Lenovo ThinkSystem servers, featuring Lenovo Neptune™ liquid cooling technology, to attain higher performance while reducing power consumption.
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