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Nagadastagiri Challapalle
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2020 – today
- 2024
- [j4]Ikenna Okafor
, Akshay Krishna Ramanathan
, Nagadastagiri Challapalle
, Zheyu Li
, Vijaykrishnan Narayanan
:
Fusing In-storage and Near-storage Acceleration of Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 20(1): 1:1-1:22 (2024) - [j3]Yiming Chen, Mingyen Lee, Guohao Dai, Mufeng Zhou, Nagadastagiri Challapalle, Tianyi Wang, Yao Yu, Yongpan Liu, Yu Wang, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li:
GRAPHIC: Gather and Process Harmoniously in the Cache With High Parallelism and Flexibility. IEEE Trans. Emerg. Top. Comput. 12(1): 84-96 (2024) - 2023
- [c8]Arun Govindankutty
, Shamiul Alam
, Sanjay Das
, Nagadastagiri Challapalle
, Ahmedullah Aziz
, Sumitha George
:
Ternary In-Memory Computing with Cryogenic Quantum Anomalous Hall Effect Memories. ACM Great Lakes Symposium on VLSI 2023: 521-526 - 2022
- [c7]Nagadastagiri Challapalle, Vijaykrishnan Narayanan:
Performance Evaluation of Video Analytics Workloads on Emerging Processing-In-Memory Architectures. ISVLSI 2022: 158-163 - [c6]Yi Zheng, Joshua Fixelle, Nagadastagiri Challapalle, Pingyi Huo, Zhaoyan Shen, Zili Shao, Mircea Stan, Vijaykrishnan Narayanan:
ISKEVA: in-SSD key-value database engine for video analytics applications. LCTES 2022: 50-60 - [i1]Yiming Chen, Guohao Dai, Mufeng Zhou, Mingyen Lee, Nagadastagiri Challapalle, Guodong Yin, Zekun Yang, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li:
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. CoRR abs/2208.08600 (2022) - 2021
- [c5]Nagadastagiri Challapalle, Karthik Swaminathan, Nandhini Chandramoorthy, Vijaykrishnan Narayanan
:
Crossbar based Processing in Memory Accelerator Architecture for Graph Convolutional Networks. ICCAD 2021: 1-9 - 2020
- [j2]Skyler Anderson
, Nagadastagiri Challapalle, John Sampson, Vijaykrishnan Narayanan
:
Adaptive Neural Network Architectures for Power Aware Inference. IEEE Des. Test 37(2): 66-75 (2020) - [j1]Nagadastagiri Challapalle, Sahithi Rampalli, Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan
:
FARM: A Flexible Accelerator for Recurrent and Memory Augmented Neural Networks. J. Signal Process. Syst. 92(11): 1247-1261 (2020) - [c4]Nagadastagiri Challapalle, Sahithi Rampalli, Makesh Chandran, Gurpreet S. Kalsi, Sreenivas Subramoney
, John Sampson, Vijaykrishnan Narayanan
:
PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks. DATE 2020: 180-185 - [c3]Zheyu Li, Nagadastagiri Challapalle, Akshay Krishna Ramanathan, Vijaykrishnan Narayanan
:
IMC-Sort: In-Memory Parallel Sorting Architecture using Hybrid Memory Cube. ACM Great Lakes Symposium on VLSI 2020: 45-50 - [c2]Nagadastagiri Challapalle, Sahithi Rampalli, Linghao Song, Nandhini Chandramoorthy, Karthik Swaminathan, John Sampson, Yiran Chen, Vijaykrishnan Narayanan
:
GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures. ISCA 2020: 433-445 - [c1]Nagadastagiri Challapalle, Makesh Chandran, Sahithi Rampalli, Vijaykrishnan Narayanan:
X-VS: Crossbar-Based Processing-in-Memory Architecture for Video Summarization. ISVLSI 2020: 592-597
Coauthor Index
aka: Vijaykrishnan Narayanan
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last updated on 2024-04-25 05:38 CEST by the dblp team
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