Srivatsa Rangachar Srinivasa
Orcid: 0000-0002-3146-6642
According to our database1,
Srivatsa Rangachar Srinivasa
authored at least 20 papers
between 2009 and 2023.
Collaborative distances:
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Bibliography
2023
On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs.
IEEE Trans. Very Large Scale Integr. Syst., October, 2023
2022
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
2021
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021
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.
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.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019
Recent Advances in Compute-in-Memory Support for SRAM Using Monolithic 3-D Integration.
IEEE Micro, 2019
IEEE Micro, 2019
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.
IEEE Trans. Very Large Scale Integr. Syst., 2018
IEEE Trans. Very Large Scale Integr. Syst., 2018
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018
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.
Proceedings of the International Symposium on Low Power Electronics and Design, 2018
Proceedings of the International Conference on Computer-Aided Design, 2018
2017
Improving FPGA Design with Monolithic 3D Integration Using High Dense Inter-Stack Via.
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.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017
2009
Int. Arab J. Inf. Technol., 2009