Srivatsa Rangachar Srinivasa

According to our database, Srivatsa Rangachar Srinivasa authored at least 20 papers between 2009 and 2023.

Collaborative distances:

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

2023

On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs.

Gauthaman Murali, Aditya Iyer, Lingjun Zhu, Jianming Tong, Francisco Muñoz-Martínez, Srivatsa Rangachar Srinivasa, Tanay Karnik, Tushar Krishna, Sung Kyu Lim

IEEE Trans. Very Large Scale Integr. Syst., October, 2023

2022

Design Methodology for Scalable 2.5D/3D Heterogenous Tiled Chiplet Systems.

Srivatsa Rangachar Srinivasa, Jainaveen Sundaram Priya, Dileep Kurian, Erika Ramirez Lozano, Satish Yada, Saransh Chhabra, Kamakhya Prasad Sahu, Paolo A. Aseron, Ronald Kalim, Anuradha Srinivasan, Tanay Karnik

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

2021

Cryogenic Memory Technologies.

Shamiul Alam, Md. Shafayat Hossain, Srivatsa Rangachar Srinivasa, Ahmedullah Aziz

CoRR, 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

A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding.

Jainaveen Sundaram, Srivatsa Rangachar Srinivasa, Dileep Kurian, Indranil Chakraborty, Sirisha Rani Kale, Nilesh Jain, Tanay Karnik, Ravi R. Iyer, Anuradha Srinivasan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

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

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

Back-End-of-Line Compatible Transistors for Monolithic 3-D Integration.

Suman Datta, Sourav Dutta, Benjamin Grisafe, Jeff Smith, Srivatsa Srinivasa, Huacheng Ye

IEEE Micro, 2019

Monolithic-3D Integration Augmented Design Techniques for Computing in SRAMs.

Srivatsa Rangachar Srinivasa, Wei-Hao Chen, Yung-Ning Tu, Meng-Fan Chang, Jack Sampson, Vijaykrishnan Narayanan

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

2018

Compact 3-D-SRAM Memory With Concurrent Row and Column Data Access Capability Using Sequential Monolithic 3-D Integration.

Srivatsa Rangachar Srinivasa, Xueqing Li, Meng-Fan Chang, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan

IEEE Trans. Very Large Scale Integr. Syst., 2018

Symmetric 2-D-Memory Access to Multidimensional Data.

Sumitha George, Xueqing Li, Minli Julie Liao, Kaisheng Ma, Srivatsa Rangachar Srinivasa, Karthik Mohan, Ahmedullah Aziz, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan

IEEE Trans. Very Large Scale Integr. Syst., 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 Power-Efficient Hybrid Architecture Design for Image Recognition Using CNNs.

Jinhang Choi, Srivatsa Rangachar Srinivasa, Yasuki Tanabe, Jack 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

Emerging reconfigurable nanotechnologies: can they support future electronics?

Shubham Rai, Srivatsa Rangachar Srinivasa, Patsy Cadareanu, Xunzhao Yin, Xiaobo Sharon Hu, Pierre-Emmanuel Gaillardon, Vijaykrishnan Narayanan, Akash Kumar

Proceedings of the International Conference on Computer-Aided Design, 2018

2017

Improving FPGA Design with Monolithic 3D Integration Using High Dense Inter-Stack Via.

Srivatsa Rangachar Srinivasa, Karthik Mohan, Wei-Hao Chen, Kuo-Hsinag Hsu, Xueqing Li, Meng-Fan Chang, Sumeet Kumar Gupta, John Sampson, Vijaykrishnan Narayanan

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

Spendthrift: Machine learning based resource and frequency scaling for ambient energy harvesting nonvolatile processors.

Kaisheng Ma, Xueqing Li, Srivatsa Rangachar Srinivasa, Yongpan Liu, John Sampson, Yuan Xie, Vijaykrishnan Narayanan

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2009

Hardware implementation low power high speed FFT core.

Muniandi Kannan, Srivatsa Srinivasa

Int. Arab J. Inf. Technol., 2009