Prati
Swagath Venkataramani
Swagath Venkataramani
Research Staff Member, IBM T.J. Watson Research Center / Purdue Univ.
Potvrđena adresa e-pošte na ibm.com - Početna stranica
Naslov
Citirano
Citirano
Godina
Pact: Parameterized clipping activation for quantized neural networks
J Choi, Z Wang, S Venkataramani, PIJ Chuang, V Srinivasan, ...
arXiv preprint arXiv:1805.06085, 2018
6592018
SALSA: Systematic logic synthesis of approximate circuits
S Venkataramani, A Sabne, V Kozhikkottu, K Roy, A Raghunathan
Proceedings of the 49th Annual Design Automation Conference, 796-801, 2012
3882012
Quality programmable vector processors for approximate computing
S Venkataramani, VK Chippa, ST Chakradhar, K Roy, A Raghunathan
Proceedings of the 46th Annual IEEE/ACM International Symposium on …, 2013
3312013
Approximate computing and the quest for computing efficiency
S Venkataramani, ST Chakradhar, K Roy, A Raghunathan
Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015
2872015
AxNN: Energy-efficient neuromorphic systems using approximate computing
S Venkataramani, A Ranjan, K Roy, A Raghunathan
Proceedings of the 2014 international symposium on Low power electronics and …, 2014
2822014
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
2352017
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
1892013
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
1522014
ACCURATE AND EFFICIENT 2-BIT QUANTIZED NEURAL NETWORKS
J Choi, S Venkataramani, V Srinivasan, K Gopalakrishnan, Z Wang, ...
SysML Conference, 2019
1472019
Hybrid 8-bit floating point (HFP8) training and inference for deep neural networks
X Sun, J Choi, CY Chen, N Wang, S Venkataramani, VV Srinivasan, X Cui, ...
Advances in neural information processing systems 32, 2019
1352019
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
1242018
Approximate storage for energy efficient spintronic memories
A Ranjan, S Venkataramani, X Fong, K Roy, A Raghunathan
Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015
1032015
Ultra-low precision 4-bit training of deep neural networks
X Sun, N Wang, CY Chen, J Ni, A Agrawal, X Cui, S Venkataramani, ...
Advances in Neural Information Processing Systems 33, 1796-1807, 2020
1012020
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
872016
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
862014
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
852013
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
832015
Energy-efficient neural computing with approximate multipliers
SS Sarwar, S Venkataramani, A Ankit, A Raghunathan, K Roy
ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (2), 1-23, 2018
612018
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
612018
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
582018
Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.
Članci 1–20