By Yoonjin Kim
Coarse-grained reconfigurable structure (CGRA) has emerged as an answer for versatile, application-specific optimization of embedded structures. supporting the problems fascinated with designing and developing embedded structures, layout of Low-Power Coarse-Grained Reconfigurable Architectures deals new frameworks for optimizing the structure of elements in embedded structures on the way to reduce quarter and keep strength. actual software benchmarks and gate-level simulations substantiate those frameworks. the 1st 1/2 the ebook explains the way to lessen energy within the configuration cache. The authors current a low-power reconfiguration procedure in keeping with reusable context pipelining that merges the idea that of context reuse into context pipelining. in addition they suggest dynamic context compression in a position to helping required bits of the context phrases set to let and the redundant bits set to disable. additionally, they speak about dynamic context administration for lowering strength intake within the configuration cache through controlling a read/write operation of the redundant context phrases. targeting the layout of a cheap processing aspect array to lessen sector and tool intake, the second one 1/2 the textual content provides an economical array cloth that uniquely rearranges processing parts and their interconnection designs. The e-book additionally describes hierarchical reconfigurable computing arrays along with reconfigurable computing blocks with varieties of communique constitution. the 2 computing blocks percentage serious assets, delivering a good communique interface among them and lowering the final region. the ultimate bankruptcy takes an built-in method of optimization that pulls at the layout schemes offered in past chapters. utilizing a case examine, the authors show the synergy influence of mixing a number of layout schemes.
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Extra info for Design of Low-Power Coarse-Grained Reconfigurable Architectures
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. The MIPSII ISA is used as the base architecture of the main processor. The MIPS ISA is extended for the REMARC using special instructions.
Of existing CGRAs. Finally, we illustrate physical implementation examples of CGRAs to show analysis of their hardware costs. 26: Chip micrograph of PipeRench. (From H. Schmit, D. Whelihan, M. Moe, A. Tsai, B. Levine, and R. 18 micron technology,” In Proceedings of IEEE Custom Integrated Circuits Conference, c 2002 IEEE. 1 shows the general relationship between performance and flexibility for different kinds of IP-types for embedded systems. The more flexible a IP is, the lower performance it has.
Affine Transformations, like skewing of data spaces or the embedding of variables into a common index space. • Localization of affine data dependencies to uniform data dependencies by propagation of variables from one index point to a neighbor index point. • Operator Splitting, equations with more than one operation can be split into equations with only two operands. • Exploration of Space-Time Mappings. Linear transformations are used as space-time mappings in order to assign a processor p(space) and sequencing index t(time) to index vectors.