Efficient and Scalable Communication and System Software for Exascale Computing

用于百亿亿次计算的高效且可扩展的通信和系统软件

• 批准号: RGPIN-2016-05389
• 负责人: Afsahi, Ahmad
• 金额: $ 2.26万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637690
• 关键词: Efficient; Scalable; Communication; System; Software

High-Performance Computing (HPC) is used to tackle computationally-intensive problems in fields as diverse as green energy and biofuels, cancer research and drug discovery, weather forecasting and climate change, seismic processing for oil and gas, genomics and bioinformatics, astrophysics, material science, automotive, defense, data mining and analytics, and financial computing. It is the key to many scientific discoveries and engineering innovations. However, the demand for more computational power is never ending. Far more computational power on much larger-scale machines is required to unravel the scientific mysteries.

高性能计算（HPC）用于解决各种领域的计算密集型问题，这些领域包括绿色能源和生物燃料、癌症研究和药物发现、天气预报和气候变化、石油和天然气的地震处理、基因组学和生物信息学、天体物理学、材料科学、汽车、国防、数据挖掘和分析以及金融计算。它是许多科学发现和工程创新的关键。然而，对更多计算能力的需求永远不会停止。要解开科学之谜，需要在更大规模的机器上拥有更强大的计算能力。