000 03925nam a22005295i 4500
001 978-3-030-20721-2
003 DE-He213
005 20220801215733.0
007 cr nn 008mamaa
008 190530s2019 sz | s |||| 0|eng d
020 _a9783030207212
_9978-3-030-20721-2
024 7 _a10.1007/978-3-030-20721-2
_2doi
050 4 _aTK7867-7867.5
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
_2thema
082 0 4 _a621.3815
_223
100 1 _aSkliarova, Iouliia.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946162
245 1 0 _aFPGA-BASED Hardware Accelerators
_h[electronic resource] /
_cby Iouliia Skliarova, Valery Sklyarov.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXVI, 245 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v566
505 0 _aReconfigurable devices and design tools -- Architectures of FPGA-based hardware accelerators and design techniques -- Hardware accelerators for data search -- Hardware accelerators for data sort -- FPGA-based hardware accelerators for selected computational problems -- Hardware/software co-design.
520 _aThis book suggests and describes a number of fast parallel circuits for data/vector processing using FPGA-based hardware accelerators. Three primary areas are covered: searching, sorting, and counting in combinational and iterative networks. These include the application of traditional structures that rely on comparators/swappers as well as alternative networks with a variety of core elements such as adders, logical gates, and look-up tables. The iterative technique discussed in the book enables the sequential reuse of relatively large combinational blocks that execute many parallel operations with small propagation delays. For each type of network discussed, the main focus is on the step-by-step development of the architectures proposed from initial concepts to synthesizable hardware description language specifications. Each type of network is taken through several stages, including modeling the desired functionality in software, the retrieval and automatic conversion of key functions, leading to specifications for optimized hardware modules. The resulting specifications are then synthesized, implemented, and tested in FPGAs using commercial design environments and prototyping boards. The methods proposed can be used in a range of data processing applications, including traditional sorting, the extraction of maximum and minimum subsets from large data sets, communication-time data processing, finding frequently occurring items in a set, and Hamming weight/distance counters/comparators. The book is intended to be a valuable support material for university and industrial engineering courses that involve FPGA-based circuit and system design.
650 0 _aElectronic circuits.
_919581
650 0 _aComputational intelligence.
_97716
650 1 4 _aElectronic Circuits and Systems.
_946163
650 2 4 _aComputational Intelligence.
_97716
700 1 _aSklyarov, Valery.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946164
710 2 _aSpringerLink (Online service)
_946165
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030207205
776 0 8 _iPrinted edition:
_z9783030207229
776 0 8 _iPrinted edition:
_z9783030207236
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v566
_946166
856 4 0 _uhttps://doi.org/10.1007/978-3-030-20721-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77811
_d77811