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European SiPearl Startup designing microprocessor for Exascale

Today European chip startup SiPearl announced it is moving into its operational phase. The company is now the 27th member of the European Processor Initiative (EPI) consortium. “By delivering supercomputing power, energy efficiency and backdoor-free security, the solutions that we are developing with support from the EPI members will enable Europe to gain its independence and, more importantly, to ensure its technological sovereignty on the market for high performance computing, which has become one of the key drivers for economic growth”, explains Philippe Notton, SiPearl’s CEO.

Cloud Adoption for HPC: Trends and Opportunities

This whitepaper is an insideHPC Special Research Report sponsored by Univa. “Today many organizations solve their most difficult computational challenges by creating their own on-premises, compute-intensive, high performance data center. The latest hardware and software innovations have removed barriers that prevented many organizations from embracing HPC solutions. With more enterprises extending their own on-premises clusters into the cloud with hybrid configurations, finding the right tools for managing and scheduling workflows and automatically controlling cost remains a critical challenge.”

Are You Ready for the Exascale Era? Find Out at SC19

As we head into the biggest supercomputing event of the year, all eyes are on exascale. The frontrunners in the race to exascale, including our friends over at Altair, will convene at SC19 in Denver this November to share updates, address challenges, and help paint the picture of an exascale-fueled future for HPC.

The Use of High-Performance Polymers in HPC and Data Center Applications

“Polymer components in liquid cooling systems are attractive for several reasons: they are lightweight, typically less expensive than metal counterparts, and are impervious to corrosion that can render parts inoperable or introduce debris into flow paths. The challenges with many polymers used to date, however, are their abilities to handle high temperatures and physical stressors without deforming, cracking or creeping. These shortcomings become significant when leaks occur, leading to downtime or damage to equipment.”

Data Center Transformation: Why a Workload-Driven and Scalable Architecture Matters

The QCT Platform on Demand (QCT POD) combines advanced technology with a unique user experience to help enterprises reach better performance and gain more insights. “With flexibility and scalability, QCT POD enables enterprises to address a broader range of HPC, Deep Learning, and Data Analytic demands that fulfill various applications.”

Arm HPC User Group Returns to Denver Nov. 18

The Arm HPC team invites you to our 5th Annual Arm HPC User Group (AHUG) session at SC19. The all-day event takes place on Monday, Nov. 18 at the Curtis Hotel in Denver. “We have a full day agenda of strategic partners and end-users from all regions of the world sharing their experiences, best practices, plans, ecosystem advances, and results on Arm-based platforms for HPC applications. The goal of this event is, as always, to candidly share and network among the growing number of users and sites that are deploying Arm for HPC and to highlight the work of the many leaders in this area.”

A Liquid Cooling Petascale Supercomputing Site and GROMACS Workload Optimization Benchmark

Accelerated computing have been viewed as revolutionary breakthrough technologies for AI and HPC workloads. Significant accelerated computing power from GPUs paired with CPUs is the major contributor. Our friends over at Quanta Cloud Technology (QCT) provide QuantaGrid D52G-4U 8 NVLink GPUs servers with a liquid cooling platform successfully adopted by the National Center of High-performance Computing (NCHC) in Taiwan) for their Taiwania-II project. Rank 23rd on the Top500 as of June 2019.

Getting Smart About Slurm in the Cloud

This timely article from our friends over at Univa takes a look at how often the popular HPC workload manager Slurm (Simple Linux Utility for Resource Management) is used in the cloud. In a recent InsideHPC survey sponsored by Univa, all Slurm users surveyed reported using public cloud services to at least some degree.

Deep Learning for Natural Language Processing – Choosing the Right GPU for the Job

In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job. Focus is given to the latest developments in neural networks and deep learning systems, in particular a neural network architecture called transformers. Researchers have shown that transformer networks are particularly well suited for parallelization on GPU-based systems.

HPE Hybrid HPC Early Access Program for your Hybrid HPC Journey

This timely article from our friends over at HPE provides the following key takeaways: HPE Hybrid HPC provides you choice to meet demanding workload needs; HPE is committed to your success by offering their Early Access Program (EAP); Take advantage of HPE’s strategically assembled partner ecosystem to maximize success.