By Yoonjin Kim
Coarse-grained reconfigurable structure (CGRA) has emerged as an answer for versatile, application-specific optimization of embedded platforms. assisting the problems curious about designing and developing embedded structures, layout of Low-Power Coarse-Grained Reconfigurable Architectures bargains new frameworks for optimizing the structure of elements in embedded platforms which will lessen quarter and retailer energy. genuine software benchmarks and gate-level simulations substantiate those frameworks. the 1st 1/2 the e-book explains find out how to decrease strength within the configuration cache. The authors current a low-power reconfiguration strategy in response to reusable context pipelining that merges the concept that of context reuse into context pipelining. additionally they suggest dynamic context compression able to helping required bits of the context phrases set to allow and the redundant bits set to disable. moreover, they speak about dynamic context administration for decreasing energy intake within the configuration cache via controlling a read/write operation of the redundant context phrases. targeting the layout of an economical processing point array to minimize zone and gear intake, the second one half the textual content offers an economical array textile that uniquely rearranges processing parts and their interconnection designs. The booklet additionally describes hierarchical reconfigurable computing arrays inclusive of reconfigurable computing blocks with kinds of conversation constitution. the 2 computing blocks proportion serious assets, delivering a good conversation interface among them and lowering the general sector. the ultimate bankruptcy takes an built-in method of optimization that attracts at the layout schemes offered in prior chapters. utilizing a case examine, the authors show the synergy impression of mixing a number of layout schemes.
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Additional resources for Design of Low-Power Coarse-Grained Reconfigurable Architectures
Like instructions in microprocessors, the configurations control the basic components’ behavior by selecting operations and controlling multiplexers. 5 RaPiD Reconfigurable pipelined datapaths (RaPiDs) are coarse-grained field programmable architectures for constructing deep computational pipelines. As compared to a general purpose processor, a RaPiD can be thought of as a superscalar architecture with hundreds of functional units but with no cache, register file, or crossbar interconnect. Instead of a data cache, data is streamed in directly from external memory or sensors.
Another PAE object implemented in the prototype is a memory object which can be used in FIFO mode or as RAM for lookup tables, intermediate results etc. However, any PAE object functionality can be included in the XPP architecture. 4 ADRES Architecture for dynamically reconfigurable embedded systems (ADRES) is a flexible architecture template that includes a tightly coupled very long instruction word (VLIW) processor and a CGRA . Integrating the VLIW processor and the reconfigurable array into a single architecture with two virtual functional views provides advantages over state-of-the-art architectures.
Singh, “Reconfigurable Architectures for Multimedia and Data-Parallel Application Domains,” Dissertation in University of California, Irvine, University of California, Irvine, 2000. 7 shows a block diagram of a microprocessor which includes Reconfigurable Multimedia Array Coprocessor (REMARC) . The REMARC consists of a global control unit, coprocessor data registers, and a reconfigurable logic array which includes an 8x8 16-bit processor (nano processor) array. The global control unit controls the execution of the reconfigurable logic array and the transfer of data between the main processor and the reconfigurable logic array through the coprocessor data registers.
Design of Low-Power Coarse-Grained Reconfigurable Architectures by Yoonjin Kim