Chirag Sudarshan

Orcid: 0000-0002-1651-1935

According to our database1, Chirag Sudarshan authored at least 27 papers between 2018 and 2024.

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Bibliography

2024
Novel adaptive quantization methodology for 8-bit floating-point DNN training.
Des. Autom. Embed. Syst., June, 2024

Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models.
CoRR, 2024

2023
Non-idealities and Design Solutions for Analog Memristor-Based Content-Addressable Memories.
Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, 2023


2022
A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

FeFET versus DRAM based PIM Architectures: A Comparative Study.
Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022

A Critical Assessment of DRAM-PIM Architectures - Trends, Challenges and Solutions.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2022

A Framework for Formal Verification of DRAM Controllers.
Proceedings of the 2022 International Symposium on Memory Systems, 2022

Optimization of DRAM based PIM Architecture for Energy-Efficient Deep Neural Network Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Correction to: Efficient Hardware Architectures for 1D- and MD-LSTM Networks.
J. Signal Process. Syst., 2021

A Novel DRAM Architecture for Improved Bandwidth Utilization and Latency Reduction Using Dual-Page Operation.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A Novel DRAM-Based Process-in-Memory Architecture and its Implementation for CNNs.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
eBrainII: a 3 kW Realtime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex.
J. Signal Process. Syst., 2020

Efficient Hardware Architectures for 1D- and MD-LSTM Networks.
J. Signal Process. Syst., 2020

Efficient Generation of Application Specific Memory Controllers.
Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

Multi-Valued Physical Unclonable Functions based on Dynamic Random Access Memory.
Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

A Low Power In-DRAM Architecture for Quantized CNNs using Fast Winograd Convolutions.
Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

2019
eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex.
CoRR, 2019

A Lean, Low Power, Low Latency DRAM Memory Controller for Transprecision Computing.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2019

Channel Models for Physical Unclonable Functions based on DRAM Retention Measurements.
Proceedings of the XVI International Symposium "Problems of Redundancy in Information and Control Systems", 2019

Fast validation of DRAM protocols with timed petri nets.
Proceedings of the International Symposium on Memory Systems, 2019

An In-DRAM Neural Network Processing Engine.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018
Efficient coding scheme for DDR4 memory subsystems.
Proceedings of the International Symposium on Memory Systems, 2018

Driving into the memory wall: the role of memory for advanced driver assistance systems and autonomous driving.
Proceedings of the International Symposium on Memory Systems, 2018

The Role of Memories in Transprecision Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

An analysis on retention error behavior and power consumption of recent DDR4 DRAMs.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Improving the error behavior of DRAM by exploiting its Z-channel property.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018


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