Akshay Krishna Ramanathan

According to our database, Akshay Krishna Ramanathan authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fusing In-storage and Near-storage Acceleration of Convolutional Neural Networks.

Ikenna Okafor, Akshay Krishna Ramanathan, Nagadastagiri Challapalle, Zheyu Li, Vijaykrishnan Narayanan

ACM J. Emerg. Technol. Comput. Syst., January, 2024

2022

Achieving Crash Consistency by Employing Persistent L1 Cache.

Akshay Krishna Ramanathan, Sara Mahdizadeh-Shahri, Yi Xiao, Vijaykrishnan Narayanan

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Sparse Vector-Matrix Multiplication Acceleration in Diode-Selected Crossbars.

Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan

IEEE Trans. Very Large Scale Integr. Syst., 2021

Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation.

Srivatsa Srinivasa, Akshay Krishna Ramanathan, Jainaveen Sundaram, Dileep Kurian, Srinivasan Gopal, Nilesh Jain, Anuradha Srinivasan, Ravi R. Iyer, Vijaykrishnan Narayanan, Tanay Karnik

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

CAPE: A Content-Addressable Processing Engine.

Helena Caminal, Kailin Yang, Srivatsa Srinivasa, Akshay Krishna Ramanathan, Khalid Al-Hawaj, Tianshu Wu, Vijaykrishnan Narayanan, Christopher Batten, José F. Martínez

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

FARM: A Flexible Accelerator for Recurrent and Memory Augmented Neural Networks.

Nagadastagiri Challapalle, Sahithi Rampalli, Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan

J. Signal Process. Syst., 2020

Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration.

Akshay Krishna Ramanathan, Gurpreet S. Kalsi, Srivatsa Srinivasa, Tarun Makesh Chandran, Kamlesh R. Pillai, Om Ji Omer, Vijaykrishnan Narayanan, Sreenivas Subramoney

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Integrated CAM-RAM Functionality using Ferroelectric FETs.

Sumitha George, Nicholas Jao, Akshay Krishna Ramanathan, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Vijaykrishnan Narayanan

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

IMC-Sort: In-Memory Parallel Sorting Architecture using Hybrid Memory Cube.

Zheyu Li, Nagadastagiri Challapalle, Akshay Krishna Ramanathan, Vijaykrishnan Narayanan

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

2019

ROBIN: Monolithic-3D SRAM for Enhanced Robustness with In-Memory Computation Support.

Srivatsa Rangachar Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Wei-Hao Chen, Sumeet Kumar Gupta, Meng-Fan Chang, Swaroop Ghosh, Jack Sampson, Vijaykrishnan Narayanan

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Recent Advances in Compute-in-Memory Support for SRAM Using Monolithic 3-D Integration.

Zhixiao Zhang, Xin Si, Srivatsa Srinivasa, Akshay Krishna Ramanathan, Meng-Fan Chang

IEEE Micro, 2019

Technology-Assisted Computing-In-Memory Design for Matrix Multiplication Workloads.

Nicholas Jao, Srivatsa Srivinasa, Akshay Krishna Ramanathan, Minhwan Kim, John Sampson, Vijaykrishnan Narayanan

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019

Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations.

Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018

Harnessing Emerging Technology for Compute-in-Memory Support.

Nicholas Jao, Akshay Krishna Ramanathan, Srivatsa Rangachar Srinivasa, Sumitha George, John Sampson, Vijaykrishnan Narayanan

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support.

Srivatsa Rangachar Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Wei-Hao Chen, Fu-Kuo Hsueh, Chih-Chao Yang, Chang-Hong Shen, Jia-Min Shieh, Sumeet Kumar Gupta, Meng-Fan Marvin Chang, Swaroop Ghosh, Jack Sampson, Vijaykrishnan Narayanan

Proceedings of the International Symposium on Low Power Electronics and Design, 2018