Nagadastagiri Challapalle

According to our database, Nagadastagiri Challapalle authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 2024

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, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li

IEEE Trans. Emerg. Top. Comput., 2024

2023

Ternary In-Memory Computing with Cryogenic Quantum Anomalous Hall Effect Memories.

Arun Govindankutty, Shamiul Alam, Sanjay Das, Nagadastagiri Challapalle, Ahmedullah Aziz, Sumitha George

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

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

CoRR, 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

Proceedings of the LCTES '22: 23rd ACM SIGPLAN/SIGBED International Conference on Languages, 2022

Performance Evaluation of Video Analytics Workloads on Emerging Processing-In-Memory Architectures.

Nagadastagiri Challapalle, Vijaykrishnan Narayanan

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

2021

Crossbar based Processing in Memory Accelerator Architecture for Graph Convolutional Networks.

Nagadastagiri Challapalle, Karthik Swaminathan, Nandhini Chandramoorthy, Vijaykrishnan Narayanan

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

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

Adaptive Neural Network Architectures for Power Aware Inference.

Skyler Anderson, Nagadastagiri Challapalle, John Sampson, Vijaykrishnan Narayanan

IEEE Des. Test, 2020

X-VS: Crossbar-Based Processing-in-Memory Architecture for Video Summarization.

Nagadastagiri Challapalle, Makesh Chandran, Sahithi Rampalli, Vijaykrishnan Narayanan

Proceedings of the 2020 IEEE Computer Society Annual 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, Vijaykrishnan Narayanan

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

IMC-Sort: In-Memory Parallel Sorting Architecture using Hybrid Memory Cube.

Zheyu Li, Nagadastagiri Challapalle, Akshay Krishna Ramanathan, Vijaykrishnan Narayanan

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

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

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020