November 18, 2022
One of the original RISC-V designers this week boldly predicted that the open architecture will surpass rival chip architectures in performance. "The prediction is two or three years we'll be surpassing your architectures and available performance with... Read more…
September 9, 2022
HPCwire presents our interview with Eric Monchalin, chair of European Processor Initiative & VP, head of machine intelligence, Atos, and an HPCwire 2022 Person to Watch. Monchalin recaps the EPI program strategy, explains the motivations for tech soveriengty and gives a view to current and future computing... Read more…
February 17, 2022
At an elaborate event yesterday, French computing firm Atos announced its newest supercomputer: the BullSequana XH3000, a system that the company can scale to an exaflops performance and which works with hardware from AMD, Intel, Nvidia and (when it arrives) SiPearl. At the event – which included a series of keynotes and two roundtables – Atos and... Read more…
June 24, 2021
In this video interview with HPCwire's Managing Editor Tiffany Trader, Jean-Marc Denis, European Processor Initiative (EPI) chair of the board and head of strategy at Atos, details ongoing EPI activities and covers themes from his upcoming ISC 2021 featured talk, titled "Future Supercomputers are game changers for processor architecture. Why?" Read more…
September 18, 2020
Just under two years ago, the European Commission formalized the EuroHPC Joint Undertaking (JU): a concerted HPC effort (comprising 32 participating states at c Read more…
September 19, 2019
With the EuroHPC program well underway, much of the European Union’s ambition to be a leader in the exascale era rests with the European Processor Initiative 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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