Sujan Kumar Gonugondla

15 papers A* 2A 1Misc 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	BASS: Batched Attention-optimized Speculative Sampling. ACL (Findings) Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras
2024	J	`jnl`	BASS: Batched Attention-optimized Speculative Sampling. CoRR Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras
2024	A*	`conf`	Bifurcated Attention for Single-Context Large-Batch Sampling. ICML Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang
2024	J	`jnl`	Bifurcated Attention for Single-Context Large-Batch Sampling. CoRR Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang
2024	J	`jnl`	The N-Grammys: Accelerating Autoregressive Inference with Learning-Free Batched Speculation. CoRR Lawrence Stewart, Matthew Trager, Sujan Kumar Gonugondla, Stefano Soatto
2024	—	`conf`	Token Alignment via Character Matching for Subword Completion. ACL (Findings) Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Parminder Bhatia, Bing Xiang
2024	J	`jnl`	Token Alignment via Character Matching for Subword Completion. CoRR Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Rob Kwiatkowski, Ramesh Nallapati, Bing Xiang
2023	A*	`conf`	Multi-lingual Evaluation of Code Generation Models. ICLR Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati
2023	A	`conf`	PRIVE: Efficient RRAM Programming with Chip Verification for RRAM-based In-Memory Computing Acceleration. DATE Wangxin He, Jian Meng, Sujan Kumar Gonugondla, Shimeng Yu, Naresh R. Shanbhag, Jae-sun Seo
2023	—	`conf`	Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, 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	Misc	`conf`	IMPQ: Reduced Complexity Neural Networks Via Granular Precision Assignment. ICASSP Sujan Kumar Gonugondla, Naresh R. Shanbhag
2022	J	`jnl`	Multi-lingual Evaluation of Code Generation Models. CoRR Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
2020	—	`—`	Cross-layer methods for energy-efficient inference using in-memory architectures Sujan Kumar Gonugondla
2020	J	`jnl`	Fundamental Limits on Energy-Delay-Accuracy of In-memory Architectures in Inference Applications. CoRR Sujan Kumar Gonugondla, Charbel Sakr, Hassan Dbouk, Naresh R. Shanbhag
2018	—	`conf`	A 42pJ/decision 3.12TOPS/W robust in-memory machine learning classifier with on-chip training. ISSCC Sujan Kumar Gonugondla, Mingu Kang, Naresh R. Shanbhag