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Avnish R. Brahmbhatt

dblp:73/406 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 67% Energy-efficient computing · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design › low-power circuit design
bus encoding		 0.112006
Low-power bus encoding using an adaptive hybrid algorithm · DAC 2006
Integrated circuit design
low-power circuit design		 0.112006
Low-power bus encoding using an adaptive hybrid algorithm · DAC 2006
Energy-efficient computing › low-power design
low-power interconnect		 0.112006
Low-power bus encoding using an adaptive hybrid algorithm · DAC 2006

Methods — techniques the papers use, named apart from their topics

weighted code mapping · 0.1delayed bus technique · 0.1adaptive encoding · 0.1
YearPublicationVenuePosition
2006 Low-power bus encoding using an adaptive hybrid algorithm
abstract
In this paper, we propose an adaptive low-power bus encoding algorithm based on weighted code mapping (WCM) and the delayed bus technique. The WCM algorithm transforms an original bus data vector to a low-energy code through one-to-one mapping. The code mapping is determined by the data probabilistic distribution in the original sequence. The WCM algorithm considers both the self and coupling capacitance of the bus wires. In addition, we found that applying the delayed-bus technique can further reduce the bus energy. A window-based adaptive encoding algorithm is proposed to improve the energy saving by adaptively changing the code mapping when significant data changes are detected. Experimental results show that the proposed algorithm outperforms the existing heuristic bus encoding algorithms by 20~60% in energy dissipation.
Avnish R. Brahmbhatt, Qing Wu 0002, Qinru Qiu
 DAC1
2006 Adaptive low-power bus encoding based on weighted code mapping
abstract
In this paper, we propose an adaptive low-power bus encoding algorithm based on weighted code mapping (WCM). The WCM algorithm transforms an original bus data vector to a low-energy code through one-to-one mapping. The code mapping is determined by the data probability distribution in the original sequence. The WCM algorithm considers both the self and coupling capacitance of the bus wires. A window-based adaptive encoding algorithm is proposed to improve the energy saving by adaptively changing the code mapping for different data probability characteristics. Experimental results show that the proposed algorithm outperforms the existing coding algorithms by either significantly lower computation/hardware complexity or higher energy savings.
Avnish R. Brahmbhatt, Qinru Qiu, Qing Wu 0002
 ISCAS1