Compilation Techniques for Reconfigurable Architectures by João M.P. Cardoso, Pedro C. Diniz

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By João M.P. Cardoso, Pedro C. Diniz

This booklet describes a variety of code alterations and mapping recommendations for compiling courses written in high-level programming languages to reconfigurable architectures. whereas lots of those changes and mapping suggestions were built within the context of compilation for standard architectures and high-level synthesis, their software to reconfigurable architectures poses an entire new set of demanding situations- rather whilst concentrating on fine-grained reconfigurable architectures equivalent to modern Field-Programmable Gate-Arrays (FPGAs).

Organized in 8 chapters, this e-book offers a priceless constitution for practitioners and graduate scholars within the sector of desktop technological know-how and electric and computing device engineering to successfully map computations to reconfigurable architectures.

Key Features:

  • Introduces the reader to compilation and reconfigurable computing architectures.
  • Presents a number compiler code variations and mapping thoughts concentrating on crucial programming languages.
  • Allows the reader to bridge the distance among the software program compilation and the compilation and synthesis domains.
  • Brings a few compilation strategies jointly into one based resource, and comprises consultant examples in their applications.

  • Provides a old standpoint on consultant compilation learn efforts during the last 15 years.

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Extra info for Compilation Techniques for Reconfigurable Architectures

Sample text

An arbitrary number of hardware functions can be provided by architectural extension of set/execute instructions. Additionally, the parameters of these hardware operations are not included in the set/execute instructions, as they can be directly encoded in the associated ρ µ -code. The flexibility of the Molen machine organization mitigates some issues with other system 24 2 Reconfigurable Architectures integration approaches as Molen does not require a new instruction for each hardware function.

Some design-space exploration algorithms use feedback from previous mappings in the form of estimates to backtrack and possibly undo several high-level transformations. By using estimates derived in a fraction of the time, that it would take for a compilation flow to derive the actual designs, tools can effectively explore a wide range of mapping choices that would be otherwise impractical. 3 Back-End Lastly, the compilation flow includes a back-end for code generation and architectural synthesis.

Estimation of Mapping Decisions: These estimates provide the compiler with an approximation in terms of resources and/or execution time for a specific mapping choice. Compilers use these estimates to adjust the aggressiveness of their mapping strategies. For instance, while applying loop unrolling a compiler can quickly exceed the available hardware resources. When back-end phases such as placement and routing require extremely long time, estimation provides a reasonable trade-off between hardware design accuracy and design exploration time.

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