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Deep-PowerX: a deep learning-based framework for low-power approximate logic synthesis.

G. Pasandi, M. Peterson, M. Herrera, S. Nazarian, and M. Pedram. ISLPED, page 73-78. ACM, (2020)

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Ghasem Amirian

Ghasem Toulany

Ghasem Tohidloo

Mohammad Ghasem Vetr Tamijani

Other publications of authors with the same name

A Dynamic Programming-Based, Path Balancing Technology Mapping Algorithm Targeting Area Minimization.G. Pasandi, and M. Pedram. ICCAD, page 1-8. ACM, (2019)Low-power data encoding/decoding for energy-efficient static random access memory design.G. Pasandi, K. Mehrabi, B. Ebrahimi, S. Fakhraei, A. Afzali-Kusha, and M. Pedram. IET Circuits Devices Syst., 13 (8): 1152-1159 (2019)Balanced Factorization and Rewriting Algorithms for Synthesizing Single Flux Quantum Logic Circuits.G. Pasandi, and M. Pedram. ACM Great Lakes Symposium on VLSI, page 183-188. ACM, (2019)qSeq: Full Algorithmic and Tool Support for Synthesizing Sequential Circuits in Superconducting SFQ Technology.G. Pasandi, and M. Pedram. DAC, page 133-138. IEEE, (2021)Energy-efficient, low-latency realization of neural networks through boolean logic minimization.M. Nazemi, G. Pasandi, and M. Pedram. ASP-DAC, page 274-279. ACM, (2019)NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference.M. Nazemi, G. Pasandi, and M. Pedram. CoRR, (2018)A Graph Partitioning Algorithm with Application in Synthesizing Single Flux Quantum Logic Circuits.G. Pasandi, and M. Pedram. CoRR, (2018)Deep-PowerX: a deep learning-based framework for low-power approximate logic synthesis.G. Pasandi, M. Peterson, M. Herrera, S. Nazarian, and M. Pedram. ISLPED, page 73-78. ACM, (2020)SFQmap: A Technology Mapping Tool for Single Flux Quantum Logic Circuits.G. Pasandi, A. Shafaei, and M. Pedram. CoRR, (2019)kNN-CAM: A k-Nearest Neighbors-based Configurable Approximate Floating Point Multiplier.M. Yan, Y. Song, Y. Feng, G. Pasandi, M. Pedram, and S. Nazarian. ISQED, page 1-7. IEEE, (2019)

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Disambiguation of "Pasandi, Ghasem"

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Deep-PowerX: a deep learning-based framework for low-power approximate logic synthesis.

Please choose a person to relate this publication to

Ghasem Amirian

Ghasem Toulany

Ghasem Tohidloo

Mohammad Ghasem Vetr Tamijani

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pasandi, Ghasem"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep-PowerX: a deep learning-based framework for low-power approximate logic synthesis.

Please choose a person to relate this publication to

Ghasem Amirian

Ghasem Toulany

Ghasem Tohidloo

Mohammad Ghasem Vetr Tamijani

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Deep-PowerX: a deep learning-based framework for low-power approximate logic synthesis.