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2020 – today
- 2024
[c12]Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury:
Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. ISPASS 2024: 268-279- [i8]Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Celine Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury:
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. CoRR abs/2409.13153 (2024) - 2023
- [c11]Ananda Samajdar, Jan Moritz Joseph, Tushar Krishna:
AIrchitect: Automating Hardware Architecture and Mapping Optimization. DATE 2023: 1-6 - 2022
- [b2]Ananda Samajdar:
Methodology and Analysis for Efficient Custom Architecture Design using Machine Learning. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - [c10]Ananda Samajdar, Eric Qin, Michael Pellauer, Tushar Krishna:
Self adaptive reconfigurable arrays (SARA): learning flexible GEMM accelerator configuration and mapping-space using ML. DAC 2022: 583-588 - 2021
- [c9]Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes
, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna:
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. DAC 2021: 253-258 - [c8]Jan Moritz Joseph, Ananda Samajdar, Lingjun Zhu, Rainer Leupers, Sung Kyu Lim, Thilo Pionteck, Tushar Krishna:
Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators. ISQED 2021: 60-66 - [i7]Ananda Samajdar, Michael Pellauer, Tushar Krishna:
Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration. CoRR abs/2101.04799 (2021) - [i6]Ananda Samajdar, Jan Moritz Joseph, Matthew Denton, Tushar Krishna:
AIRCHITECT: Learning Custom Architecture Design and Mapping Space. CoRR abs/2108.08295 (2021) - [i5]Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna:
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. CoRR abs/2110.01752 (2021) - 2020
- [b1]Tushar Krishna, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Ananda Samajdar:
Data Orchestration in Deep Learning Accelerators. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00639-5 - [c7]Eric Qin, Ananda Samajdar, Hyoukjun Kwon, Vineet Nadella, Sudarshan Srinivasan, Dipankar Das, Bharat Kaul, Tushar Krishna:
SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training. HPCA 2020: 58-70 - [c6]Ananda Samajdar, Jan Moritz Joseph, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna:
A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim. ISPASS 2020: 58-68 - [c5]Parth Mannan, Ananda Samajdar, Tushar Krishna:
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices. ISPASS 2020: 93-103 - [i4]Parth Mannan, Ananda Samajdar, Tushar Krishna:
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices. CoRR abs/2008.11881 (2020) - [i3]Jan Moritz Joseph, Ananda Samajdar, Lingjun Zhu, Rainer Leupers, Sung Kyu Lim, Thilo Pionteck, Tushar Krishna:
Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators. CoRR abs/2012.12563 (2020)
2010 – 2019
- 2019
- [c4]Ananda Samajdar, Tushar Garg, Tushar Krishna, Nachiket Kapre:
Scaling the Cascades: Interconnect-Aware FPGA Implementation of Machine Learning Problems. FPL 2019: 342-349 - 2018
- [j1]Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna:
A Communication-Centric Approach for Designing Flexible DNN Accelerators. IEEE Micro 38(6): 25-35 (2018) - [c3]Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna:
MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects. ASPLOS 2018: 461-475 - [c2]Ananda Samajdar, Parth Mannan, Kartikay Garg, Tushar Krishna:
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware. MICRO 2018: 855-866 - [i2]Ananda Samajdar, Parth Mannan, Kartikay Garg, Tushar Krishna:
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware. CoRR abs/1808.01363 (2018) - [i1]Ananda Samajdar, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna:
SCALE-Sim: Systolic CNN Accelerator. CoRR abs/1811.02883 (2018) - 2017
- [c1]Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna:
Rethinking NoCs for Spatial Neural Network Accelerators. NOCS 2017: 19:1-19:8
Coauthor Index
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