CHIMAERA: a high-performance architecture with a tightly-coupled reconfigurable functional unit

  • Authors:
  • Zhi Alex Ye;Andreas Moshovos;Scott Hauck;Prithviraj Banerjee

  • Affiliations:
  • Electrical and Computer Engineering, Northwestern University;Electrical and Computer Engineering, Northwestern University;Electrical Engineering, University of Washington;Electrical and Computer Engineering, Northwestern University

  • Venue:
  • Proceedings of the 27th annual international symposium on Computer architecture
  • Year:
  • 2000

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Abstract

Reconfigurable hardware has the potential for significant performance improvements by providing support for application-specific operations. We report our experience with Chimaera, a prototype system that integrates a small and fast reconfigurable functional unit (RFU) into the pipeline of an aggressive, dynamically-scheduled superscalar processor. Chimaera is capable of performing 9-input/1-output operations on integer data. We discuss the Chimaera C compiler that automatically maps computations for execution in the RFU. Chimaera is capable of: (1) collapsing a set of instructions into RFU operations, (2) converting control-flow into RFU operations, and (3) supporting a more powerful fine-grain data-parallel model than that supported by current multimedia extension instruction sets (for integer operations). Using a set of multimedia and communication applications we show that even with simple optimizations, the Chimaera C compiler is able to map 22% of all instructions to the RFU on the average. A variety of computations are mapped into RFU operations ranging from as simple as add/sub-shift pairs to operations of more than 10 instructions including several branches. Timing experiments demonstrate that for a 4-way out-of-order superscalar processor Chimaera results in average performance improvements of 21%, assuming a very aggressive core processor design (most pessimistic RFU latency model) and communication overheads from and to the RFU.