News Feed

Can Anyone Make Money From Modern Storage?

In the past three decades, there has been no shortage of companies with interesting ideas to solve very specific data storage and retrieval problems associated with high performance computing in some form or another.

Can Anyone Make Money From Modern Storage? was written by Timothy Prickett Morgan at The Next Platform.

Intel and Penn Medicine Conduct Cancer Using Federated Learning to Analyze (and Protect) Sensitive Medical Data at Scale

Calling it the largest federated learning study in the medical field to date, Intel Labs and Penn Medicine have announced a joint research study  to help international healthcare and research institutions identify malignant brain tumors. The study, which involved a global dataset from 71 institutions across six continents, improved brain tumor detection, the two organizations said. […]

The post Intel and Penn Medicine Conduct Cancer Using Federated Learning to Analyze (and Protect) Sensitive Medical Data at Scale appeared first on High-Performance Computing News Analysis | insideHPC.

IonQ and Hyundai Expand Quantum Partnership

Dec. 6, 2022 — COLLEGE PARK, Md.– Quantum Computing copany IonQ (NYSE: IONQ) today announced new stages of its partnership with Hyundai Motor Company to develop machine vision algorithms capable of conducting object detection on three dimensional data from autonomous vehicles. Additionally, the companies will utilize IonQ quantum computers to simulate electrochemical reactions of varying […]

The post IonQ and Hyundai Expand Quantum Partnership appeared first on High-Performance Computing News Analysis | insideHPC.

Just How Bad Is CXL Memory Latency?

Conventional wisdom says that trying to attach system memory to the PCI-Express bus is a bad idea if you care at all about latency.

Just How Bad Is CXL Memory Latency? was written by Tobias Mann at The Next Platform.

TOP500 News


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ORNL’s Frontier First to Break the Exaflop Ceiling
May 30, 2022

The 59th edition of the TOP500 revealed the Frontier system to be the first true exascale machine with an HPL score of 1.102 Exaflop/s.

The No. 1 spot is now held by the Frontier system at Oak Ridge National Laboratory (ORNL) in the US. Based on the latest HPE Cray EX235a architecture and equipped with AMD EPYC 64C 2GHz processors, the system has 8,730,112 total cores, a power efficiency rating of 52.23 gigaflops/watt, and relies on gigabit ethernet for data transfer.


Still waiting for Exascale: Japan's Fugaku outperforms all competition once again
Nov. 15, 2021

FRANKFURT, Germany; BERKELEY, Calif.; and KNOXVILLE, Tenn.— The 58th annual edition of the TOP500 saw little change in the Top10. The Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No. 10. Based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU and 80 GB of memory, Voyager-EUS2 also utilizes a Mellanox HDR Infiniband for data transfer. 


The List

11/2022 Highlights

  • The Frontier system at the Oak Ridge National Laboratory, Tennessee, USA remains the No. 1 system on the TOP500 and is still the only system reported with an HPL performance exceeding one Exaflop/s. Frontier brought the pole position back to the USA on the June listing with an HPL score of 1.102 Exaflop/s.
  • The LUMI system at EuroHPC/CSC in Finland entered the list last June at No. 3. It is again listed as No. 3 but only thanks to an upgrade of the system, which doubled its size. With its increased HPL score of 309 Pflop/s it remains the largest system in Europe.
  • The only new machine to grace the top of the list was the No. 4 Leonardo system at EuroHPC/CINECA in Bologna, Italy. The machine achieved an HPL score of .174 EFlop/s with 1,463,616 cores.

 

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