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Bahar Asgari
Bahar Asgari
Assistant Professor, University of Maryland, College Park, Department of Computer Science
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
Characterizing the deployment of deep neural networks on commercial edge devices
R Hadidi, J Cao, Y Xie, B Asgari, T Krishna, H Kim
2019 IEEE International Symposium on Workload Characterization (IISWC), 35-48, 2019
1262019
Design of robust SRAM cells against single-event multiple effects for nanometer technologies
R Rajaei, B Asgari, M Tabandeh, M Fazeli
IEEE Transactions on Device and Materials Reliability 15 (3), 429-436, 2015
852015
Fafnir: Accelerating sparse gathering by using efficient near-memory intelligent reduction
B Asgari, R Hadidi, J Cao, SK Lim, H Kim
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
702021
Demystifying the characteristics of 3D-stacked memories: A case study for hybrid memory cube
R Hadidi, B Asgari, BA Mudassar, S Mukhopadhyay, S Yalamanchili, ...
2017 IEEE international symposium on Workload characterization (IISWC), 66-75, 2017
692017
ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator
B Asgari, R Hadidi, T Krishna, H Kim, S Yalamanchili
2020 IEEE International Symposium on High Performance Computer Architecture …, 2020
442020
Performance implications of NoCs on 3D-stacked memories: Insights from the hybrid memory cube
R Hadidi, B Asgari, J Young, BA Mudassar, K Garg, T Krishna, H Kim
2018 IEEE international symposium on Performance analysis of systems and …, 2018
352018
Single event multiple upset-tolerant SRAM cell designs for nano-scale CMOS technology
R Rajaei, B Asgari, M Tabandeh, M Fazeli
Turkish Journal of Electrical Engineering and Computer Sciences 25 (2), 1035 …, 2017
322017
Eridanus: Efficiently running inference of dnns using systolic arrays
B Asgari, R Hadidi, H Kim, S Yalamanchili
Ieee micro 39 (5), 46-54, 2019
292019
Quantifying the design-space tradeoffs in autonomous drones
R Hadidi, B Asgari, S Jijina, A Amyette, N Shoghi, H Kim
Proceedings of the 26th ACM International Conference on Architectural …, 2021
232021
PISCES: Power-Aware Implementation of SLAM by Customizing Efficient Sparse Algebra
B Asgari, R Hadidi, NS Ghaleshahi, H Kim
DAC 2020, 0
22*
Lodestar: Creating locally-dense cnns for efficient inference on systolic arrays
B Asgari, R Hadidi, H Kim, S Yalamanchili
Proceedings of the 56th Annual Design Automation Conference 2019, 1-2, 2019
192019
ASCELLA: Accelerating Sparse Computation by Enabling Stream Accesses to Memory
B Asgari, R Hadidi, H Kim
DATE 2020, 2020
162020
Meissa: Multiplying matrices efficiently in a scalable systolic architecture
B Asgari, R Hadidi, H Kim
2020 IEEE 38th International Conference on Computer Design (ICCD), 130-137, 2020
122020
Copernicus: Characterizing the performance implications of compression formats used in sparse workloads
B Asgari, R Hadidi, J Dierberger, C Steinichen, A Marfatia, H Kim
2021 IEEE International Symposium on Workload Characterization (IISWC), 1-12, 2021
112021
Proposing a fast and scalable systolic array for matrix multiplication
B Asgari, R Hadidi, H Kim
2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020
82020
LCP: A low-communication parallelization method for fast neural network inference in image recognition
R Hadidi, B Asgari, J Cao, Y Bae, DE Shim, H Kim, SK Lim, MS Ryoo, ...
arXiv preprint arXiv:2003.06464, 2020
7*2020
SuDoku: Tolerating high-rate of transient failures for enabling scalable STTRAM
PJ Nair, B Asgari, MK Qureshi
2019 49th Annual IEEE/IFIP International Conference on Dependable Systems …, 2019
72019
Efficiently solving partial differential equations in a partially reconfigurable specialized hardware
B Asgari, R Hadidi, T Krishna, H Kim, S Yalamanchili
IEEE Transactions on Computers 70 (4), 524-538, 2021
32021
Capella: Customizing perception for edge devices by efficiently allocating fpgas to dnns
Y Bae, R Hadidi, B Asgari, J Cao, H Kim
2019 29th International Conference on Field Programmable Logic and …, 2019
32019
MAHASIM: Machine-learning hardware acceleration using a software-defined intelligent memory system
B Asgari, S Mukhopadhyay, S Yalamanchili
Journal of Signal Processing Systems 93 (6), 659-675, 2021
22021
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Articles 1–20