Sujan K. Gonugondla

22 papers A* 1A 2C 2Misc 4Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Approximately Aligned Decoding. CoRR Daniel Melcer, Sujan K. Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras
2024	—	`conf`	The N-Grammys: Accelerating Autoregressive Inference with Learning-Free Batched Speculation. ENLSP Lawrence Stewart, Matthew Trager, Sujan K. Gonugondla, Stefano Soatto
2023	J	`jnl`	Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR 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
2022	J	`jnl`	Fundamental Limits on Energy-Delay-Accuracy of In-Memory Architectures in Inference Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sujan K. Gonugondla, Charbel Sakr, Hassan Dbouk, Naresh R. Shanbhag
2021	J	`jnl`	A 0.44-μJ/dec, 39.9-μs/dec, Recurrent Attention In-Memory Processor for Keyword Spotting. IEEE J. Solid State Circuits Hassan Dbouk, Sujan K. Gonugondla, Charbel Sakr, Naresh R. Shanbhag
2020	Misc	`conf`	Block-LMS and RLS adaptive filters using in-memory architectures. ACSSC Chandrasekhar Radhakrishnan, Sujan K. Gonugondla
2020	J	`jnl`	Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing. Proc. IEEE Mingu Kang, Sujan K. Gonugondla, Naresh R. Shanbhag
2020	A	`conf`	Fundamental Limits on the Precision of In-memory Architectures. ICCAD Sujan K. Gonugondla, Charbel Sakr, Hassan Dbouk, Naresh R. Shanbhag
2020	—	`conf`	KeyRAM: A 0.34 uJ/decision 18 k decisions/s Recurrent Attention In-memory Processor for Keyword Spotting. CICC Hassan Dbouk, Sujan K. Gonugondla, Charbel Sakr, Naresh R. Shanbhag
2020	A	`conf`	SWIPE: Enhancing Robustness of ReRAM Crossbars for In-memory Computing. ICCAD Sujan K. Gonugondla, Ameya D. Patil, Naresh R. Shanbhag
2019	Misc	`conf`	Adaptive Filtering in In-Memory-Based Architectures. ACSSC Chandrasekhar Radhakrishnan, Sujan K. Gonugondla
2019	C	`conf`	An MRAM-Based Deep In-Memory Architecture for Deep Neural Networks. ISCAS Ameya D. Patil, Haocheng Hua, Sujan K. Gonugondla, Mingu Kang, Naresh R. Shanbhag
2018	J	`jnl`	A 19.4-nJ/Decision, 364-K Decisions/s, In-Memory Random Forest Multi-Class Inference Accelerator. IEEE J. Solid State Circuits Mingu Kang, Sujan K. Gonugondla, Sungmin Lim, Naresh R. Shanbhag
2018	J	`jnl`	A Multi-Functional In-Memory Inference Processor Using a Standard 6T SRAM Array. IEEE J. Solid State Circuits Mingu Kang, Sujan K. Gonugondla, Ameya Patil, Naresh R. Shanbhag
2018	J	`jnl`	A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training. IEEE J. Solid State Circuits Sujan K. Gonugondla, Mingu Kang, Naresh R. Shanbhag
2018	J	`jnl`	An In-Memory VLSI Architecture for Convolutional Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. Mingu Kang, Sungmin Lim, Sujan K. Gonugondla, Naresh R. Shanbhag
2018	C	`conf`	Energy-Efficient Deep In-memory Architecture for NAND Flash Memories. ISCAS Sujan K. Gonugondla, Mingu Kang, Yongjune Kim, Mark Helm, Sean Eilert, Naresh R. Shanbhag
2018	A*	`conf`	PROMISE: An End-to-End Design of a Programmable Mixed-Signal Accelerator for Machine-Learning Algorithms. ISCA Prakalp Srivastava, Mingu Kang, Sujan K. Gonugondla, Sungmin Lim, Jungwook Choi, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag
2017	—	`conf`	A 19.4 nJ/decision 364K decisions/s in-memory random forest classifier in 6T SRAM array. ESSCIRC Mingu Kang, Sujan K. Gonugondla, Naresh R. Shanbhag
2016	J	`jnl`	A 481pJ/decision 3.4M decision/s Multifunctional Deep In-memory Inference Processor using Standard 6T SRAM Array. CoRR Mingu Kang, Sujan K. Gonugondla, Ameya Patil, Naresh R. Shanbhag
2016	Misc	`conf`	Perfect error compensation via algorithmic error cancellation. ICASSP Sujan K. Gonugondla, Byonghyo Shim, Naresh R. Shanbhag
2015	Misc	`conf`	An energy-efficient memory-based high-throughput VLSI architecture for convolutional networks. ICASSP Mingu Kang, Sujan K. Gonugondla, Min-Sun Keel, Naresh R. Shanbhag