03274nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001500153072001600168072002300184072001500207100007500222245015700297250001800454264007500472300006600547336002600613337002600639338003600665347002400701490005100725505021100776520117800987650005002165650001502215650003802230650004002268650002602308650002302334650001002357650001202367700008902379700008302468710003402551773002602585776003602611776003602647830005102683856004602734978-3-031-49559-5DE-He21320251030111813.0cr nn 008mamaa240410s2024    sz |    s    |||| 0|eng d  a97830314955957 a10.1007/978-3-031-49559-52doi 4aQA76.7-.73 7aUMX2bicssc 7aCOM0510102bisacsh 7aUMX2thema1 aFumero, Juan.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aProgramming Heterogeneous Hardware via Managed Runtime Systemsh[electronic resource] /cby Juan Fumero, Athanasios Stratikopoulos, Christos Kotselidis.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aXVII, 134 p. 31 illus., 30 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSpringerBriefs in Computer Science,x2191-57760 a1. Introduction -- 2. Heterogeneous Hardware -- 3. Heterogeneous Programming Models -- 4. Managed Runtime Environments -- 5. Programming Heterogeneous Hardware via Managed Runtime Systems -- 6. Conclusions.  aThis 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. 0aProgramming languages (Electronic computers). 0aComputers. 0aJava (Computer program language). 0aPython (Computer program language).14aProgramming Language.24aComputer Hardware.24aJava.24aPython.1 aStratikopoulos, Athanasios.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut1 aKotselidis, Christos.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303149558808iPrinted edition:z9783031495601 0aSpringerBriefs in Computer Science,x2191-577640uhttps://doi.org/10.1007/978-3-031-49559-5