Ananda Samajdar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Hardware Architecture

Physical Design

Top Venues

Publications

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)
Ananda Samajdar, Jan Moritz Joseph, Tushar Krishna
AIrchitect: Automating Hardware Architecture and Mapping Optimization. DATE (2023)
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)
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)
Ananda Samajdar, Michael Pellauer, Tushar Krishna
Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration. CoRR (2021)
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)
Ananda Samajdar, Jan Moritz Joseph, Matthew Denton, Tushar Krishna
AIRCHITECT: Learning Custom Architecture Design and Mapping Space. CoRR (2021)
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 (2021)
Parth Mannan, Ananda Samajdar, Tushar Krishna
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices. CoRR (2020)
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)
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 (2020)
Parth Mannan, Ananda Samajdar, Tushar Krishna
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices. ISPASS (2020)
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)
Ananda Samajdar, Tushar Garg, Tushar Krishna, Nachiket Kapre
Scaling the Cascades: Interconnect-Aware FPGA Implementation of Machine Learning Problems. FPL (2019)
Ananda Samajdar, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna
SCALE-Sim: Systolic CNN Accelerator. CoRR (2018)
Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
A Communication-Centric Approach for Designing Flexible DNN Accelerators. IEEE Micro 38 (6) (2018)
Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects. ASPLOS (2018)
Ananda Samajdar, Parth Mannan, Kartikay Garg, Tushar Krishna
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware. CoRR (2018)
Ananda Samajdar, Parth Mannan, Kartikay Garg, Tushar Krishna
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware. MICRO (2018)
Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
Rethinking NoCs for Spatial Neural Network Accelerators. NOCS (2017)