A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support. - Srivatsa Rangachar Srinivasa; Akshay Krishna Ramanathan; Xueqing Li 002; 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; et al. (ISLPED, 2018)

Harnessing Emerging Technology for Compute-in-Memory Support. - Nicholas Jao; Akshay Krishna Ramanathan; Srivatsa Rangachar Srinivasa; Sumitha George; John Sampson; Vijaykrishnan Narayanan (ISVLSI, 2018)

Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. - Nicholas Jao; Akshay Krishna Ramanathan; Abhronil Sengupta; John Sampson; Vijaykrishnan Narayanan (ISCAS, 2019)

Technology-Assisted Computing-In-Memory Design for Matrix Multiplication Workloads. - Nicholas Jao; Srivatsa Srivinasa; Akshay Krishna Ramanathan; Minhwan Kim; John Sampson; Vijaykrishnan Narayanan (NANOARCH, 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)

ROBIN: Monolithic-3D SRAM for Enhanced Robustness with In-Memory Computation Support. - Srivatsa Rangachar Srinivasa; Akshay Krishna Ramanathan; Xueqing Li 002; Wei-Hao Chen; Sumeet Kumar Gupta; Meng-Fan Chang; Swaroop Ghosh; Jack Sampson; Vijaykrishnan Narayanan (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

IMC-Sort: In-Memory Parallel Sorting Architecture using Hybrid Memory Cube. - Zheyu Li; Nagadastagiri Challapalle; Akshay Krishna Ramanathan; Vijaykrishnan Narayanan (ACM Great Lakes Symposium on VLSI, 2020)

Integrated CAM-RAM Functionality using Ferroelectric FETs. - Sumitha George; Nicholas Jao; Akshay Krishna Ramanathan; Xueqing Li 002; Sumeet Kumar Gupta; John Sampson; Vijaykrishnan Narayanan (ISQED, 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 (MICRO, 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)

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 (HPCA, 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 001; Vijaykrishnan Narayanan; Tanay Karnik (ISQED, 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)

Achieving Crash Consistency by Employing Persistent L1 Cache. - Akshay Krishna Ramanathan; Sara Mahdizadeh-Shahri; Yi Xiao 008; Vijaykrishnan Narayanan (DATE, 2022)

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., 2024)