CAREER: Heterogeneity-Enriched Communication for Advancing HPC Systems and Applications

在高性能计算（HPC）网络基础设施系统正在经历快速变革的时代，以异构性和规模激增为标志，该项目站在HPC网络基础设施变革创新的最前沿，异构性和规模的快速发展带来了机遇和挑战。其重要性在于其坚定不移地致力于提高HPC系统和应用程序的可用性，效率和可扩展性。通过开创性的异质性丰富的通信设计和软件，该项目不仅推动了该领域的发展，而且与美国国家科学基金会（NSF）更广泛的使命产生了共鸣，该基金会渴望促进科学进步，促进国家福利，并确保国防安全。除了其科学影响，这项奋进优先考虑教育和多样性，培养学习文化，并解决关键STEM（科学，技术，工程和数学）领域的劳动力短缺问题。它寻求通过开源原则使知识民主化并赋予科学界权力，扩大其对数据密集型科学研究的潜在好处。该项目的主要目标是为现代和下一代HPC系统和应用开创创新的异构丰富通信设计，显著提高其可用性，效率和可扩展性，以应对以增加异构性和规模为特征的快速发展。这将通过涉及分析建模和架构性能优化的多管齐下的方法来实现。该研究项目针对三个关键挑战：（a）通过为异构性丰富的通信开发精确的成本建模、预测和仿真来实现高可用性;（B）通过创新的通信方案和自适应编排的组合来解决效率问题;以及（c）通过减少消息和连接开销的优化技术来确保可扩展性。这些设计作为开源工具发布并集成到现有的HPC库中，可以彻底改变农业、工业工作负载、生物统计和地理空间信息科学等领域的HPC和机器学习（ML）应用。此外，该项目符合NSF的核心使命，即通过积极促进STEM中的包容性，教育和代表性不足的群体来促进国家福利。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

In an era where High-Performance Computing (HPC) cyberinfrastructure systems are undergoing rapid and transformative evolution, marked by a surge in heterogeneity and scale, this project stands at the forefront of transformative innovation in HPC cyberinfrastructure, where rapid development in heterogeneity and scale presents both opportunities and challenges. Its significance lies in its unwavering commitment to advancing the usability, efficiency, and scalability of HPC systems and applications. By pioneering Heterogeneity-Enriched Communication designs and software, this project not only propels the field forward but also resonates with the broader mission of the National Science Foundation (NSF), which aspires to promote the progress of science, advance national welfare, and secure the national defense. Beyond its scientific impact, this endeavor prioritizes education and diversity, fostering a learning culture and addressing workforce shortages in critical STEM (Science, Technology, Engineering, and Mathematics) fields. It seeks to democratize knowledge and empower the scientific community through open-source principles, amplifying its potential benefits for data-intensive scientific research. The primary objective of this project is to pioneer innovative heterogeneous-enriched communication designs for modern and next-generation HPC systems and applications, significantly enhancing their usability, efficiency, and scalability in the face of rapid evolution characterized by increased heterogeneity and scale. This will be achieved through a multi-pronged approach involving analytical modeling and architectural performance optimization. This research project targets three key challenges: (a) achieving high usability by developing precise cost modeling, prediction, and simulation for heterogeneity-enriched communication; (b) addressing efficiency through the composition of innovative communication schemes and adaptive orchestration; and (c) ensuring scalability through optimization techniques that reduce message and connection overhead. These designs, released as open-source tools and integrated into existing HPC libraries, can revolutionize HPC and Machine Learning (ML) applications across domains such as agriculture, industrial workloads, biostatistics, and geospatial information science. Furthermore, this project aligns with the NSF's core mission to advance the national welfare by actively fostering inclusivity, education, and underrepresented groups in STEM. It aims to drive innovation and leave a lasting impact on the scientific community.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.