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Latest Publications & Patents on Exascale Computing

Exascale Computing

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百亿亿次级计算
百亿亿次级计算融合了先进的架构和工程技术,为复杂的科学应用实现了前所未有的性能。

百亿亿次级计算是指能够执行至少一次百亿亿次浮点运算(每秒 10¹⁸ 次浮点运算)的高性能计算系统——这一门槛在 2022 年随着橡树岭国家实验室 Frontier 的部署而正式突破,随后是阿贡国家实验室的 Aurora 和劳伦斯利弗莫尔国家实验室的 El Capitan。

证明该基础设施合理性的科学应用——全分辨率气候建模、核武库模拟、全脑神经回路映射、精确宇宙学和流行病规模的流行病学建模——都有一个共同的特点:这些问题的空间或时间分辨率已被证明受到千万亿次级算术吞吐量的限制。

下面列出的出版物和专利记录了定义当前百亿亿次级计算研究前沿的硬件架构、系统软件、编程模型和特定领域的应用。

This is our latest selection of worldwide publications and patents in english on Exascale Computing, between many scientific online journals, classified and focused on exascale comput, exaflop, Frontier supercomputer, Aurora supercomputer, El Capitan supercomputer, exascale HPC, exascale workload, high-performance computing node, exascale interconnect, Slingshot interconnect, exascale storage hierarchy, parallel file system, liquid cooling HPC, exascale memory bandwidth, high-bandwidth memory HPC, exascale MPI, exascale OpenMP, exascale fault tolerance, checkpoint restart HPC, exascale, exascale accelerator and GPU cluster HPC.

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Selective inline compression using data processing unit on a parallel file system

Patent published on the 2026-07-16 in US under Ref US20260202962 by DELL PRODUCTS L P [US] (Doddaiah Ramesh [us], Chen Xiangping [us], Krasner Jonathan Ichael [us])

Abstract: Embodiments disclosed herein relate to selective inline compression of data using data processing units (DPUs) of hosts running on the file system prior to storing the data on a remote storage system. To be compressed by the DPUs of the hosts, data should be not already compressed, the data should not subject to frequent read/write cycles off the remote storage system, and the DPU should have sufficient computing resources to compress the data. A file system is connected to the hosts and the rem[...]


Our summary: Selective inline compression is performed using data processing units (DPUs) on hosts before storing data in a remote storage system. The process relies on a file heatmap generated by machine learning to assess data access frequency. Only uncompressed data that meets specific criteria is eligible for compression by the DPUs.

inline compression, data processing unit, file system, machine learning

Patent

涵盖的主题: Exascale computing, high-performance computing, exaflop, floating-point operations, Frontier, Oak Ridge National Laboratory, Aurora, Argonne, El Capitan, Lawrence Livermore, climate modelling, nuclear simulation, neural circuit mapping, precision cosmology, epidemiological modelling, hardware architectures, system software, programming modelsISO/IEC 30170, IEEE 754, ISO/IEC 9899, ISO/IEC 27001, and IEEE 8023..

常用术语表

High-Performance Computing (HPC): 一种计算范式,能够以比传统计算更高的速度和效率执行复杂的计算和数据处理,通常利用并行处理、大规模集群和先进架构来解决科学、工程和分析问题。

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