03654nam a22005775i 4500 978-3-031-49559-5 DE-He213 20251030111813.0 cr nn 008mamaa 240410s2024 sz | s |||| 0|eng d 9783031495595 978-3-031-49559-5 10.1007/978-3-031-49559-5 doi QA76.7-.73 UMX bicssc COM051010 bisacsh UMX thema Fumero, Juan. author. aut http://id.loc.gov/vocabulary/relators/aut 74965 Programming Heterogeneous Hardware via Managed Runtime Systems [electronic resource] / by Juan Fumero, Athanasios Stratikopoulos, Christos Kotselidis. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XVII, 134 p. 31 illus., 30 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Computer Science, 2191-5776 1. Introduction -- 2. Heterogeneous Hardware -- 3. Heterogeneous Programming Models -- 4. Managed Runtime Environments -- 5. Programming Heterogeneous Hardware via Managed Runtime Systems -- 6. Conclusions. This book provides an introduction to both heterogeneous execution and managed runtime environments (MREs) by discussing the current trends in computing and the evolution of both hardware and software. To this end, it first details how heterogeneous hardware differs from traditional CPUs, what their key components are and what challenges they pose to heterogenous execution. The most ubiquitous ones are General Purpose Graphics Processing Units (GPGPUs) which are pervasive across a plethora of application domains ranging from graphics processing to training of AI and Machine Learning models. Subsequently, current solutions on programming heterogeneous MREs are described, highlighting for each current existing solution the associated advantages and disadvantages. This book is written for scientists and advanced developers who want to understand how choices at the programming API level can affect performance and/or programmability of heterogeneous hardware accelerators, how toimprove the underlying runtime systems in order to seamlessly integrate diverse hardware resources, or how to exploit acceleration techniques from their preferred programming languages. Programming languages (Electronic computers). 66206 Computers. 65793 Java (Computer program language). 66213 Python (Computer program language). 64608 Programming Language. 66208 Computer Hardware. 65796 Java. 4794 Python. 47553 Stratikopoulos, Athanasios. author. aut http://id.loc.gov/vocabulary/relators/aut 74966 Kotselidis, Christos. author. aut http://id.loc.gov/vocabulary/relators/aut 74967 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031495588 Printed edition: 9783031495601 SpringerBriefs in Computer Science, 2191-5776 66578 https://doi.org/10.1007/978-3-031-49559-5 ZDB-2-SCS ZDB-2-SXCS 59054 59054