Scipediacontent: Scipediacontent moved page Draft Content 743673986 to Das et al 2008a

2021-02-03T16:08:43Z

Scipediacontent moved page Draft Content 743673986 to Das et al 2008a

Scipediacontent: Created page with " == Abstract == Hardware accelerators are common in embedded systems that have high performance requirements but must still operate within stringent energy constraints. To fa..."

2021-02-03T16:08:40Z

Created page with " == Abstract == Hardware accelerators are common in embedded systems that have high performance requirements but must still operate within stringent energy constraints. To fa..."

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== Abstract ==

Hardware accelerators are common in embedded systems that have high performance requirements but must still operate within stringent energy constraints. To facilitate short time-to-market and reduced non-recurring engineering costs, automatic systems that can rapidly generate hardware bearing both power and performance in mind are extremely attractive. This paper proposes the BLADES (Better-than-worst-case Loop Accelerator Design) system for automatically designing self-tuning hardware accelerators that dynamically select their best operating frequency and voltage based on environmental conditions, silicon variation, and input data characteristics. Errors in operation are detected by Razor flip-flops, and recovery is initiated. The architecture efficiently supports detection, rollback, and recovery to provide a highly adaptable and configurable loop accelerator. The overhead of deploying Razor flip-flops is significantly reduced by automatically chaining primitive computation operations together. Results on a range of loop accelerators show average energy savings of 32% gained by voltage scaling below the nominal supply voltage.

== Original document ==

The different versions of the original document can be found in:

* [http://cccp.eecs.umich.edu/papers/gdasika-dac08.pdf http://cccp.eecs.umich.edu/papers/gdasika-dac08.pdf]

* [http://cccp.eecs.umich.edu/papers/gdasika-dac08.pdf http://cccp.eecs.umich.edu/papers/gdasika-dac08.pdf],
: [https://dblp.uni-trier.de/db/conf/dac/dac2008.html#DasikaDFMB08 https://dblp.uni-trier.de/db/conf/dac/dac2008.html#DasikaDFMB08],
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004555946 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004555946],
: [https://dl.acm.org/citation.cfm?id=1391694 https://dl.acm.org/citation.cfm?id=1391694],
: [https://doi.acm.org/10.1145/1391469.1391694 https://doi.acm.org/10.1145/1391469.1391694],
: [https://academic.microsoft.com/#/detail/2100215874 https://academic.microsoft.com/#/detail/2100215874]

* [http://dl.acm.org/ft_gateway.cfm?id=1391694&ftid=529276&dwn=1 http://dl.acm.org/ft_gateway.cfm?id=1391694&ftid=529276&dwn=1],
: [http://dx.doi.org/10.1145/1391469.1391694 http://dx.doi.org/10.1145/1391469.1391694]

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Das et al 2008a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 743673986 to Das et al 2008a

Scipediacontent: Created page with " == Abstract == Hardware accelerators are common in embedded systems that have high performance requirements but must still operate within stringent energy constraints. To fa..."