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Eric Qin
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SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training
E Qin, A Samajdar, H Kwon, V Nadella, S Srinivasan, D Das, B Kaul, ...
Proceedings of the 26th IEEE International Symposium on High-Performance …, 2020
3612020
Architecture, chip, and package co-design flow for 2.5 D IC design enabling heterogeneous IP reuse
J Kim, G Murali, H Park, E Qin, H Kwon, V Chaitanya, K Chekuri, N Dasari, ...
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
482019
Architecture, chip, and package codesign flow for interposer-based 2.5-D chiplet integration enabling heterogeneous IP reuse
J Kim, G Murali, H Park, E Qin, H Kwon, VCK Chekuri, NM Rahman, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (11 …, 2020
442020
A taxonomy for classification and comparison of dataflows for gnn accelerators
R Garg, E Qin, FM Martínez, R Guirado, A Jain, S Abadal, JL Abellán, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
27*2021
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU
G Jeong, E Qin, A Samajdar, CJ Hughes, S Subramoney, H Kim, ...
Proceedings of the 58th Annual Design Automation Conference 2021, 2021
162021
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
E Qin, G Jeong, W Won, SC Kao, H Kwon, S Srinivasan, D Das, GE Moon, ...
International Symposium on Parallel and Distributed Processing (IPDPS), 2021
142021
Vegeta: Vertically-integrated extensions for sparse/dense gemm tile acceleration on cpus
G Jeong, S Damani, AR Bambhaniya, E Qin, CJ Hughes, S Subramoney, ...
2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023
92023
Self adaptive reconfigurable arrays (SARA) learning flexible GEMM accelerator configuration and mapping-space using ML
A Samajdar, E Qin, M Pellauer, T Krishna
Proceedings of the 59th ACM/IEEE Design Automation Conference, 583-588, 2022
82022
Enabling flexibility for sparse tensor acceleration via heterogeneity
E Qin, R Garg, A Bambhaniya, M Pellauer, A Parashar, S Rajamanickam, ...
arXiv preprint arXiv:2201.08916, 2022
72022
K-tanh: Hardware efficient activations for deep learning
A Kundu, S Srinivasan, EC Qin, D Kalamkar, NK Mellempudi, D Das, ...
arXiv preprint arXiv:1909.07729, 2019
42019
K-tanh: Efficient tanh for deep learning
A Kundu, A Heinecke, D Kalamkar, S Srinivasan, EC Qin, NK Mellempudi, ...
arXiv preprint arXiv:1909.07729, 2019
22019
Context-aware control of smart objects via human-machine communication
M Muztoba, E Qin, N Tran, UY Ogras
2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2015
12015
Building Efficient Tensor Accelerators for Sparse and Irregular Workloads
E Qin
Georgia Institute of Technology, 2022
2022
Clock Delivery Network Design and Analysis for Interposer-Based 2.5-D Heterogeneous Systems
G Murali, H Park, E Qin, HM Torun, MA Dolatsara, M Swaminathan, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (4), 605-616, 2021
2021
Utilizing Spatial Accelerators for Machine Learning and Linear Algebra Kernels.
GE Moon, S Rajamanickam, T Krishna, H Kwon, P Chatarasi, E Qin
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
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