Swagath Venkataramani

Author

Purdue University West Lafayette ORCID

Also Known As

Swagath Venkataramani, Venkataramani, Swagath

103

Publications

4.5K

Citations

H-Index

Concepts

All Affiliations

Purdue University West Lafayette IBM (United States)IBM Research - Thomas J. Watson Research Center IBM (Germany)NEC (Japan)

About

Swagath Venkataramani is an author at Purdue University West Lafayette specializing in engineering, computer science, and computer engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	32	51	4.2K
2	Computer Science	31	50	4.2K
3	Computer Engineering	29	45	3.8K
4	Social Sciences	7	7	545
5	Health Sciences	1	1	18

Swagath Venkataramani

Publications

4.4K

Citations

H-Index

Page 1

	Year	Citations
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi, Zhuo Wang, Swagath Venkataramani, arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkClipping ActivationEngineeringMachine Learning	2018	719
SALSA Swagath Venkataramani, Amit Sabne, Vivek Kozhikkottu, Logic SynthesisEngineeringElectronic Design AutomationProgram AnalysisApproximate Computing	2012	327
AxNN Swagath Venkataramani, Ashish Ranjan, Kaushik Roy, EngineeringCellular Neural NetworkPattern RecognitionComputational NeuroscienceComputer Engineering	2014	263
Quality programmable vector processors for approximate computing Swagath Venkataramani, Vinay K. Chippa, Srimat Chakradhar, Numerical AnalysisEngineeringComputer ArchitectureVector ProcessingProcessor Architecture	2013	252
Approximate computing and the quest for computing efficiency Swagath Venkataramani, Srimat Chakradhar, Kaushik Roy, Mathematical ProgrammingCluster ComputingEngineeringAdvanced ComputingHardware Algorithm	2015	245
ScaleDeep Swagath Venkataramani, Ashish Ranjan, Subarno Banerjee, Deep Neural NetworksEngineeringHardware AccelerationHigh-performance ArchitectureComputer Engineering	2017	199
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks Xiao Sun, Jungwook Choi, Chia Yu Chen, Neural Information Processing Systems Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2019	134
Substitute-and-Simplify: A Unified Design Paradigm for Approximate and Quality Configurable Circuits Swagath Venkataramani, Kaushik Roy, Anand Raghunathan Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013 EngineeringUnified Design ParadigmAnalog DesignHardware AlgorithmElectronic Design	2013	130
Accurate and Efficient 2-bit Quantized Neural Networks Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Proceedings of Machine Learning and Systems EngineeringQuantum ComputingSparse Neural NetworkComputer ScienceDeep Learning	2019	108
Scalable-effort classifiers for energy-efficient machine learning Swagath Venkataramani, Anand Raghunathan, Jie Liu, Artificial IntelligenceMachine-learning AlgorithmsMachine LearningData ScienceData Mining	2015	105

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