Swagath Venkataramani
Swagath Venkataramani
Research Staff Member, IBM T.J. Watson Research Center / Purdue Univ.
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
SALSA: Systematic logic synthesis of approximate circuits
S Venkataramani, A Sabne, V Kozhikkottu, K Roy, A Raghunathan
DAC Design Automation Conference 2012, 796-801, 2012
3482012
Pact: Parameterized clipping activation for quantized neural networks
J Choi, Z Wang, S Venkataramani, PIJ Chuang, V Srinivasan, ...
arXiv preprint arXiv:1805.06085, 2018
3402018
Quality programmable vector processors for approximate computing
S Venkataramani, VK Chippa, ST Chakradhar, K Roy, A Raghunathan
2013 46th Annual IEEE/ACM International Symposium on Microarchitecture …, 2013
3012013
AxNN: Energy-efficient neuromorphic systems using approximate computing
S Venkataramani, A Ranjan, K Roy, A Raghunathan
2014 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2014
2252014
Approximate computing and the quest for computing efficiency
S Venkataramani, ST Chakradhar, K Roy, A Raghunathan
2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2015
2192015
Scaledeep: A scalable compute architecture for learning and evaluating deep networks
S Venkataramani, A Ranjan, S Banerjee, D Das, S Avancha, ...
Proceedings of the 44th Annual International Symposium on Computer …, 2017
1722017
Substitute-and-simplify: A unified design paradigm for approximate and quality configurable circuits
S Venkataramani, K Roy, A Raghunathan
2013 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2013
1592013
ASLAN: Synthesis of approximate sequential circuits
A Ranjan, A Raha, S Venkataramani, K Roy, A Raghunathan
2014 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2014
1232014
A scalable multi-TeraOPS deep learning processor core for AI trainina and inference
B Fleischer, S Shukla, M Ziegler, J Silberman, J Oh, V Srinivasan, J Choi, ...
2018 IEEE Symposium on VLSI Circuits, 35-36, 2018
902018
Approximate storage for energy efficient spintronic memories
A Ranjan, S Venkataramani, X Fong, K Roy, A Raghunathan
2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2015
852015
Stag: Spintronic-tape architecture for gpgpu cache hierarchies
R Venkatesan, SG Ramasubramanian, S Venkataramani, K Roy, ...
ACM SIGARCH Computer Architecture News 42 (3), 253-264, 2014
772014
ACCURATE AND EFFICIENT 2-BIT QUANTIZED NEURAL NETWORKS
J Choi, S Venkataramani, V Srinivasan, K Gopalakrishnan, Z Wang, ...
SysML Conference, 2019
762019
Approximate computing: An integrated hardware approach
VK Chippa, S Venkataramani, ST Chakradhar, K Roy, A Raghunathan
2013 Asilomar conference on signals, systems and computers, 111-117, 2013
762013
Scalable-effort classifiers for energy-efficient machine learning
S Venkataramani, A Raghunathan, J Liu, M Shoaib
Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015
752015
Multiplier-less artificial neurons exploiting error resiliency for energy-efficient neural computing
SS Sarwar, S Venkataramani, A Raghunathan, K Roy
2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 145-150, 2016
732016
Hybrid 8-bit floating point (HFP8) training and inference for deep neural networks
X Sun, J Choi, CY Chen, N Wang, S Venkataramani, X Cui, W Zhang, ...
572019
Computing approximately, and efficiently
S Venkataramani, ST Chakradhar, K Roy, A Raghunathan
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 748-751, 2015
472015
Exploiting approximate computing for deep learning acceleration
CY Chen, J Choi, K Gopalakrishnan, V Srinivasan, S Venkataramani
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 821-826, 2018
432018
Bridging the accuracy gap for 2-bit quantized neural networks (qnn)
J Choi, PIJ Chuang, Z Wang, S Venkataramani, V Srinivasan, ...
arXiv preprint arXiv:1807.06964, 2018
422018
Relax-and-retime: A methodology for energy-efficient recovery based design
SG Ramasubramanian, S Venkataramani, A Parandhaman, ...
2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2013
422013
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