NDLI: Tailoring instruction-set extensions for an ultra-low power tightly-coupled cluster of OpenRISC cores

Content Provider	IEEE Xplore Digital Library
Author	Gautschi, M. Traber, A. Pullini, A. Benini, L. Scandale, M. Di Federico, A. Beretta, M. Agosta, G.
Copyright Year	2015
Description	Author affiliation: Integrated Syst. Lab., ETH Zurich, Zurich, Switzerland (Gautschi, M.; Traber, A.; Pullini, A.; Benini, L.) \|\| Dipt. di Elettron., Politec. di Milano, Vinci, Italy (Scandale, M.; Di Federico, A.; Beretta, M.; Agosta, G.)
Abstract	Baseline RISC instruction sets for ultra-low power processors are constantly being tuned to reduce cycle count when executing computation-intensive applications. Performance improvements often come at a non-negligible price in terms of area and critical path length and imply deeper pipelines and complex memory interfaces. This penalizes control-intensive code execution and significantly increases cost and complexity of building multi-core clusters. In addition, some extensions are not easily exploited by compilers and may increase code development effort, especially when considering parallel applications. In this paper we describe our efforts in enhancing a baseline open ISA (OpenRISC) and its LLVM compiler back-end to significantly reduce execution cycles while minimizing the impact on core micro-architecture complexity, number of pipeline stages, area and power. In addition, we improved the core micro-architecture to streamline its integration in a tightly-coupled cluster, sharing instruction cache and data memory, thereby further enhancing parallel execution efficiency. The combined effect of ISA, compiler and micro-architecture evolution gives an average energy efficiency boost of 59% on vector intensive code and 41% otherwise, at an area and power increase of 2.3% and 18% on a four-core processor cluster.
Starting Page	25
Ending Page	30
File Size	784547
Page Count	6
File Format	PDF
ISSN	23248440
e-ISBN	9781467391405
DOI	10.1109/VLSI-SoC.2015.7314386
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-05
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Program processors Power demand Multicore processing Pipelines Hardware Registers
Content Type	Text
Resource Type	Article

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