01970nam 2200349 450 991055401660332120230421092637.01-66541-128-7(CKB)5590000000639605(NjHacI)995590000000639605(EXLCZ)99559000000063960520230421d2021 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrier2021 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA) /Institute of Electrical and Electronics EngineersPiscataway, New Jersey :IEEE,2021.1 online resource (51 pages)1-66541-129-5 Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large scale systems This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count These extreme scale systems require novel scientific algorithms to hide network and memory latency, have very high computation communication overlap, have minimal communication, and have no synchronization points With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important.2021 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems High performance computingCongressesHigh performance computing004.11NjHacINjHaclPROCEEDING99105540166033212021 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA)2812127UNINA