Download Fine- and Coarse-Grain Reconfigurable Computing by K. Tatas, K. Siozios, D. Soudris (auth.), Stamatis PDF

By K. Tatas, K. Siozios, D. Soudris (auth.), Stamatis Vassiliadis, Dimitrios Soudris (eds.)

Fine- and Coarse-Grain Reconfigurable Computing provides the elemental suggestions and development blocks for the layout of good- (or FPGA) and Coarse-Grain Reconfigurable Architectures. Recently-developed built-in structure layout and software-supported layout circulate of FPGA and coarse-grain reconfigurable structure also are defined.
Part I includes vast surveys of FPGA and Coarse-Grain Reconfigurable Architectures:
The FPGA expertise is outlined, consisting of structure, common sense block constitution, interconnect, and configuration tools and present fine-grain reconfigurable architectures emerged from either academia and undefined. also, the implementation suggestions and CAD instruments constructed to facilitate the implementation of a procedure in reconfigurable through the and academia are provided.
In addition the gains, the benefits and boundaries of the coarse-grain reconfigurable structures, the categorical matters that are supposed to be addressed through the layout part, in addition to consultant latest coarse-grain reconfigurable structures are explained.
In half II, case stories, cutting edge study effects approximately reconfigurable architectures and layout frameworks from 3 tasks AMDREL, MOLEN and ADRES&DRESC, and, a brand new type in keeping with microcoded architectural standards are described.
Fine- and Coarse-Grain Reconfigurable Computing is a vital reference for researchers and pros and will be used as a textbook by means of undergraduate, graduate scholars and professors.
Foreword by means of Yale Patt, Jim Smith and Mateo Valero

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Extra resources for Fine- and Coarse-Grain Reconfigurable Computing

Sample text

The Level-0 connections provide connections between adjacent logic blocks (Sect. 3). Each output pin connects to one input pin of the eight immediate neighbors. The routing overhead of having eight separate lines to each input pin 24 K. Tatas et al. A1A2 A3 B1 B2 C2 C0 C3 LUT0 O1 B1 B2 CLK1 LUT1 C4 C1 O2 Cint CLK1 LUT2 C5 O3 Cint CLK1 LUT3 CLK1 C6 CLK Fig. 14 LP PGA II Logic block architecture from the output pins of the neighbors is quite high. The overhead can be reduced if multiple pins share the same interconnect line.

Furthermore, Garp has been defined to support strict binary compatibility among implementations, even for its reconfigurable hardware. Garp’s reconfigurable array is composed of entities called blocks. One block on each row is known as a control block. The rest of the blocks in the array are logic blocks, which correspond roughly to the CLBs of the Xilinx 4000 series. The Garp Architecture fixes the number of columns of blocks at 24, while the number of rows is implementation-specific, but can be expected to be at least 32.

The Level-0 connections provide connections between adjacent logic blocks (Sect. 3). Each output pin connects to one input pin of the eight immediate neighbors. The routing overhead of having eight separate lines to each input pin 24 K. Tatas et al. A1A2 A3 B1 B2 C2 C0 C3 LUT0 O1 B1 B2 CLK1 LUT1 C4 C1 O2 Cint CLK1 LUT2 C5 O3 Cint CLK1 LUT3 CLK1 C6 CLK Fig. 14 LP PGA II Logic block architecture from the output pins of the neighbors is quite high. The overhead can be reduced if multiple pins share the same interconnect line.

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