03372nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001800172072001700190072002300207072001600230245014700246250001800393264006900411300006500480336002600545337002600571338003600597347002400633505044000657520114501097650002502242650003802267650002802305650002702333650003702360650002202397650002902419700008502448700008602533710003402619773002602653776003602679776003602715776003602751856004602787912001402833912001402847999001702861978-3-031-34233-2DE-He21320251030110818.0cr nn 008mamaa230925s2024    sz |    s    |||| 0|eng d  a97830313423329978-3-031-34233-27 a10.1007/978-3-031-34233-22doi 4aTK7867-7867.5 7aTJFC2bicssc 7aTEC0080102bisacsh 7aTJFC2thema10aIn-Memory Computing Hardware Accelerators for Data-Intensive Applicationsh[electronic resource] /cedited by Baker Mohammad, Yasmin Halawani.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aVII, 143 p. 77 illus., 66 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aChapter 1 Data-Centric Computing Paradigm Shift, And Domain-Specific Architecture and Hardware -- Chapter 2 SRAM-based In-Memory Computing: Circuits, Functions, and Applications -- Chapter 3 In and Near-Memory Computing using DRAM -- Chapter 4 MRAM-based In-Memory Computing -- Chapter 5 In-Memory Computing using Phase Change Memory -- Chapter 6 Memristor-Based In-Memory Computing -- Chapter 7 In-Memory Computing using FLASH Memory.  aThis book describes the state-of-the-art of technology and research on In-Memory Computing Hardware Accelerators for Data-Intensive Applications. The authors discuss how processing-centric computing has become insufficient to meet target requirements and how Memory-centric computing may be better suited for the needs of current applications. This reveals for readers how current and emerging memory technologies are causing a shift in the computing paradigm. The authors do deep-dive discussions on volatile and non-volatile memory technologies, covering their basic memory cell structures, operations, different computational memory designs and the challenges associated with them. Specific case studies and potential applications are provided along with their current status and commercial availability in the market. Explains how traditional computer architecture limits data movements (memory wall) and the associated impacts; Discusses computing paradigms such as In-Memory or near-memory computing for emerging applications such as AI; Uses case studies to explain the tradeoff between accuracy, computing complexity, and latency. . 0aElectronic circuits. 0aEmbedded computer systems.964625 0aMicroprocessors.959300 0aComputer architecture.14aElectronic Circuits and Systems.24aEmbedded Systems.24aProcessor Architectures.1 aMohammad, Baker.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9658641 aHalawani, Yasmin.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9662512 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303134232508iPrinted edition:z978303134234908iPrinted edition:z978303134235640uhttps://doi.org/10.1007/978-3-031-34233-2  aZDB-2-ENG  aZDB-2-SXE  c56329d56329