PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks. - Nagadastagiri Challapalle; Sahithi Rampalli; Makesh Chandran; Gurpreet S. Kalsi; Sreenivas Subramoney; John Sampson; Vijaykrishnan Narayanan (DATE, 2020)

IMC-Sort: In-Memory Parallel Sorting Architecture using Hybrid Memory Cube. - Zheyu Li; Nagadastagiri Challapalle; Akshay Krishna Ramanathan; Vijaykrishnan Narayanan (ACM Great Lakes Symposium on VLSI, 2020)

GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures. - Nagadastagiri Challapalle; Sahithi Rampalli; Linghao Song; Nandhini Chandramoorthy; Karthik Swaminathan; John Sampson; Yiran Chen 001; Vijaykrishnan Narayanan (ISCA, 2020)

X-VS: Crossbar-Based Processing-in-Memory Architecture for Video Summarization. - Nagadastagiri Challapalle; Makesh Chandran; Sahithi Rampalli; Vijaykrishnan Narayanan (ISVLSI, 2020)

Adaptive Neural Network Architectures for Power Aware Inference. - Skyler Anderson; Nagadastagiri Challapalle; John Sampson; Vijaykrishnan Narayanan (IEEE Des. Test, 2020)

FARM: A Flexible Accelerator for Recurrent and Memory Augmented Neural Networks. - Nagadastagiri Challapalle; Sahithi Rampalli; Nicholas Jao; Akshay Krishna Ramanathan; John Sampson; Vijaykrishnan Narayanan (J. Signal Process. Syst., 2020)

Crossbar based Processing in Memory Accelerator Architecture for Graph Convolutional Networks. - Nagadastagiri Challapalle; Karthik Swaminathan; Nandhini Chandramoorthy; Vijaykrishnan Narayanan (ICCAD, 2021)

Performance Evaluation of Video Analytics Workloads on Emerging Processing-In-Memory Architectures. - Nagadastagiri Challapalle; Vijaykrishnan Narayanan (ISVLSI, 2022)

ISKEVA: in-SSD key-value database engine for video analytics applications. - Yi Zheng; Joshua Fixelle; Nagadastagiri Challapalle; Pingyi Huo; Zhaoyan Shen; Zili Shao; Mircea Stan; Vijaykrishnan Narayanan (LCTES, 2022)

GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. - Yiming Chen; Guohao Dai; Mufeng Zhou; Mingyen Lee; Nagadastagiri Challapalle; Guodong Yin; Zekun Yang; Yongpan Liu; Huazhong Yang; Vijaykrishnan Narayanan; Xueqing Li 002 (CoRR, 2022)

Ternary In-Memory Computing with Cryogenic Quantum Anomalous Hall Effect Memories. - Arun Govindankutty; Shamiul Alam; Sanjay Das; Nagadastagiri Challapalle; Ahmedullah Aziz; Sumitha George (ACM Great Lakes Symposium on VLSI, 2023)

GRAPHIC: Gather and Process Harmoniously in the Cache With High Parallelism and Flexibility. - Yiming Chen; Mingyen Lee; Guohao Dai; Mufeng Zhou; Nagadastagiri Challapalle; Tianyi Wang; Yao Yu; Yongpan Liu; Yu Wang 002; Huazhong Yang; Vijaykrishnan Narayanan; Xueqing Li 002 (IEEE Trans. Emerg. Top. Comput., 2024)

Fusing In-storage and Near-storage Acceleration of Convolutional Neural Networks. - Ikenna Okafor; Akshay Krishna Ramanathan; Nagadastagiri Challapalle; Zheyu Li; Vijaykrishnan Narayanan (ACM J. Emerg. Technol. Comput. Syst., 2024)