Sujan K. Gonugondla

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 19

Top Topics

Keyword Spotting

Vlsi Architecture

Top Venues

IEEE J. Solid State Circuits

Publications

Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR (2023)
Sujan K. Gonugondla, Charbel Sakr, Hassan Dbouk, Naresh R. Shanbhag
Fundamental Limits on Energy-Delay-Accuracy of In-Memory Architectures in Inference Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (10) (2022)
Hassan Dbouk, Sujan K. Gonugondla, Charbel Sakr, Naresh R. Shanbhag
A 0.44-μJ/dec, 39.9-μs/dec, Recurrent Attention In-Memory Processor for Keyword Spotting. IEEE J. Solid State Circuits 56 (7) (2021)
Mingu Kang, Sujan K. Gonugondla, Naresh R. Shanbhag
Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing. Proc. IEEE 108 (12) (2020)
Sujan K. Gonugondla, Ameya D. Patil, Naresh R. Shanbhag
SWIPE: Enhancing Robustness of ReRAM Crossbars for In-memory Computing. ICCAD (2020)
Hassan Dbouk, Sujan K. Gonugondla, Charbel Sakr, Naresh R. Shanbhag
KeyRAM: A 0.34 uJ/decision 18 k decisions/s Recurrent Attention In-memory Processor for Keyword Spotting. CICC (2020)
Sujan K. Gonugondla, Charbel Sakr, Hassan Dbouk, Naresh R. Shanbhag
Fundamental Limits on the Precision of In-memory Architectures. ICCAD (2020)
Chandrasekhar Radhakrishnan, Sujan K. Gonugondla
Block-LMS and RLS adaptive filters using in-memory architectures. ACSSC (2020)
Ameya D. Patil, Haocheng Hua, Sujan K. Gonugondla, Mingu Kang, Naresh R. Shanbhag
An MRAM-Based Deep In-Memory Architecture for Deep Neural Networks. ISCAS (2019)
Chandrasekhar Radhakrishnan, Sujan K. Gonugondla
Adaptive Filtering in In-Memory-Based Architectures. ACSSC (2019)
Sujan K. Gonugondla, Mingu Kang, Naresh R. Shanbhag
A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training. IEEE J. Solid State Circuits 53 (11) (2018)
Sujan K. Gonugondla, Mingu Kang, Yongjune Kim, Mark Helm, Sean Eilert, Naresh R. Shanbhag
Energy-Efficient Deep In-memory Architecture for NAND Flash Memories. ISCAS (2018)
Mingu Kang, Sungmin Lim, Sujan K. Gonugondla, Naresh R. Shanbhag
An In-Memory VLSI Architecture for Convolutional Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (3) (2018)
Mingu Kang, Sujan K. Gonugondla, Ameya Patil, Naresh R. Shanbhag
A Multi-Functional In-Memory Inference Processor Using a Standard 6T SRAM Array. IEEE J. Solid State Circuits 53 (2) (2018)
Prakalp Srivastava, Mingu Kang, Sujan K. Gonugondla, Sungmin Lim, Jungwook Choi, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag
PROMISE: An End-to-End Design of a Programmable Mixed-Signal Accelerator for Machine-Learning Algorithms. ISCA (2018)
Mingu Kang, Sujan K. Gonugondla, Sungmin Lim, Naresh R. Shanbhag
A 19.4-nJ/Decision, 364-K Decisions/s, In-Memory Random Forest Multi-Class Inference Accelerator. IEEE J. Solid State Circuits 53 (7) (2018)
Mingu Kang, Sujan K. Gonugondla, Naresh R. Shanbhag
A 19.4 nJ/decision 364K decisions/s in-memory random forest classifier in 6T SRAM array. ESSCIRC (2017)
Sujan K. Gonugondla, Byonghyo Shim, Naresh R. Shanbhag
Perfect error compensation via algorithmic error cancellation. ICASSP (2016)
Mingu Kang, Sujan K. Gonugondla, Ameya Patil, Naresh R. Shanbhag
A 481pJ/decision 3.4M decision/s Multifunctional Deep In-memory Inference Processor using Standard 6T SRAM Array. CoRR (2016)
Mingu Kang, Sujan K. Gonugondla, Min-Sun Keel, Naresh R. Shanbhag
An energy-efficient memory-based high-throughput VLSI architecture for convolutional networks. ICASSP (2015)