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Ananda Samajdar
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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 - 2023
- [c11]Ananda Samajdar, Jan Moritz Joseph, Tushar Krishna:
AIrchitect: Automating Hardware Architecture and Mapping Optimization. DATE 2023: 1-6 - 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
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last updated on 2024-08-20 20:32 CEST by the dblp team
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