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Heterogeneous and unconventional cluster architectures and applications
Author(s) -
Fröning Holger,
Silla Federico
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4661
Subject(s) - scaling , computer science , cluster (spacecraft) , moore's law , transistor , cmos , scale (ratio) , function (biology) , computer architecture , electrical engineering , distributed computing , parallel computing , voltage , engineering , operating system , physics , mathematics , geometry , quantum mechanics , evolutionary biology , biology
Recent trends in cluster computing and related topics, including processor and memory design, demonstrate a continuous growing need for more processing and memory, both in terms of capacity and performance. Cluster computing has been traditionally at the forefront of such computing systems and, usually, is one of the earliest adopters of future and emerging technologies. With this special issue, we gear to gather recent related works, hoping that the reader finds these contributions helpful for a better understanding of future directions in cluster computing. Before that, we will briefly present a short rationale on our view of cluster computing. This rationale is based on two trends that are most important for such cluster architectures: first, the end of Dennard scaling has led to an era in which the growing amount of transistors, as described by Moore's law, cannot be simultaneously active because of an increasing power density. Second, applications continue to demand more processing and memory capacity. However, economy and technology laws imply that horizontal scaling is usually more cost effective than vertical scaling.