Akshay Krishna Ramanathan

Author

Pennsylvania State University ORCID

Also Known As

Akshay Krishna Ramanathan, Akshay Ramanathan

Publications

203

Citations

H-Index

Concepts

All Affiliations

Pennsylvania State University National Tsing Hua University Intel (United States)National Chung Hsing University National Taipei University

About

Akshay Krishna Ramanathan is an author at Pennsylvania State University specializing in computer engineering, parallel computing, and computer architecture.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	138
2	Computer Engineering	6	6	138
3	Computer Science	5	5	119
4	Data Science	2	2	25
5	Electrical Engineering	2	2	44

Akshay Krishna Ramanathan

Publications

161

Citations

H-Index

Page 1

	Year	Citations
Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration Akshay Krishna Ramanathan, Gurpreet S. Kalsi, Srivatsa Srinivasa, EngineeringMemory DesignEnergy EfficiencyHardware AlgorithmComputer Architecture	2020	46
ROBIN: Monolithic-3D SRAM for Enhanced Robustness with In-Memory Computation Support Srivatsa Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, IEEE Transactions on Circuits and Systems I Regular Papers Non-volatile MemoryEngineeringEmerging Memory TechnologyComputer ArchitectureMonolithic 3D	2019	25
CAPE: A Content-Addressable Processing Engine Helena Caminal, Kailin Yang, Srivatsa Srinivasa, Content-addressable Processing EngineEngineeringMemory DesignComputer ArchitectureProcessor Architecture	2021	23
A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support Srivatsa Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Proceedings of the International Symposium on Low Power Electronics and Design Hardware Security3D Ic ArchitectureElectrical EngineeringEngineeringVlsi Design	2018	19
Monolithic 3D+-IC Based Massively Parallel Compute-in-Memory Macro for Accelerating Database and Machine Learning Primitives Akshay Krishna Ramanathan, Srivatsa Srinivasa Rangachar, Je-Min Hung, EngineeringMachine LearningComputer ArchitectureParallel Beyond-boolean OperationsGpu Computing	2020	13
Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation Srivatsa Srinivasa, Akshay Krishna Ramanathan, Jainaveen Sundaram,	2021	13
IMC-Sort: In-Memory Parallel Sorting Architecture using Hybrid Memory Cube Zheyu Li, Nagadastagiri Challapalle, Akshay Krishna Ramanathan, EngineeringComputer ArchitectureHardware SecurityData ScienceHigh-performance Architecture	2020	12
Monolithic 3D<sup>+</sup> -IC based Reconfigurable Compute-in-Memory SRAM Macro Srivatsa Srinivasa, Yung-Ning Tu, Xin Si,	2019	10

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