Akshay Krishna Ramanathan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Recent Advances

Matrix Multiplication

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Ikenna Okafor, Akshay Krishna Ramanathan, Nagadastagiri Challapalle, Zheyu Li, Vijaykrishnan Narayanan
Fusing In-storage and Near-storage Acceleration of Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 20 (1) (2024)
Akshay Krishna Ramanathan, Sara Mahdizadeh-Shahri, Yi Xiao, Vijaykrishnan Narayanan
Achieving Crash Consistency by Employing Persistent L1 Cache. DATE (2022)
Srivatsa Srinivasa, Akshay Krishna Ramanathan, Jainaveen Sundaram, Dileep Kurian, Srinivasan Gopal, Nilesh Jain, Anuradha Srinivasan, Ravi R. Iyer, Vijaykrishnan Narayanan, Tanay Karnik
Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation. ISQED (2021)
Helena Caminal, Kailin Yang, Srivatsa Srinivasa, Akshay Krishna Ramanathan, Khalid Al-Hawaj, Tianshu Wu, Vijaykrishnan Narayanan, Christopher Batten, José F. Martínez
CAPE: A Content-Addressable Processing Engine. HPCA (2021)
Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan
Sparse Vector-Matrix Multiplication Acceleration in Diode-Selected Crossbars. IEEE Trans. Very Large Scale Integr. Syst. 29 (12) (2021)
Zheyu Li, Nagadastagiri Challapalle, Akshay Krishna Ramanathan, Vijaykrishnan Narayanan
IMC-Sort: In-Memory Parallel Sorting Architecture using Hybrid Memory Cube. ACM Great Lakes Symposium on VLSI (2020)
Nagadastagiri Challapalle, Sahithi Rampalli, Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan
FARM: A Flexible Accelerator for Recurrent and Memory Augmented Neural Networks. J. Signal Process. Syst. 92 (11) (2020)
Akshay Krishna Ramanathan, Gurpreet S. Kalsi, Srivatsa Srinivasa, Tarun Makesh Chandran, Kamlesh R. Pillai, Om Ji Omer, Vijaykrishnan Narayanan, Sreenivas Subramoney
Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration. MICRO (2020)
Sumitha George, Nicholas Jao, Akshay Krishna Ramanathan, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Vijaykrishnan Narayanan
Integrated CAM-RAM Functionality using Ferroelectric FETs. ISQED (2020)
Srivatsa Rangachar Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Wei-Hao Chen, Sumeet Kumar Gupta, Meng-Fan Chang, Swaroop Ghosh, Jack Sampson, Vijaykrishnan Narayanan
ROBIN: Monolithic-3D SRAM for Enhanced Robustness with In-Memory Computation Support. IEEE Trans. Circuits Syst. I Regul. Pap. (7) (2019)
Zhixiao Zhang, Xin Si, Srivatsa Srinivasa, Akshay Krishna Ramanathan, Meng-Fan Chang
Recent Advances in Compute-in-Memory Support for SRAM Using Monolithic 3-D Integration. IEEE Micro 39 (6) (2019)
Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan
Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. ISCAS (2019)
Nicholas Jao, Srivatsa Srivinasa, Akshay Krishna Ramanathan, Minhwan Kim, John Sampson, Vijaykrishnan Narayanan
Technology-Assisted Computing-In-Memory Design for Matrix Multiplication Workloads. NANOARCH (2019)
Nicholas Jao, Akshay Krishna Ramanathan, Srivatsa Rangachar Srinivasa, Sumitha George, John Sampson, Vijaykrishnan Narayanan
Harnessing Emerging Technology for Compute-in-Memory Support. ISVLSI (2018)
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
A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support. ISLPED (2018)