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AIM Faculty & Staff
Bahar Asgari
Bahar Asgari
Assistant Professor, Computer Science
Latest Papers
Spica: Exploring FPGA Optimizations to Enable an Efficient SpMV Implementation for Computations at Edge
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2023 IEEE International Conference on Edge Computing and Communications (EDGE)
UMD Author(s): Bahar Asgari
Maia: Matrix Inversion Acceleration Near Memory
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2022 32nd International Conference on Field-Programmable Logic and Applications (FPL)
UMD Author(s): Bahar Asgari
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads
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2021 IEEE International Symposium on Workload Characterization (IISWC)
UMD Author(s): Bahar Asgari
Quantifying the design-space tradeoffs in autonomous drones
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Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
UMD Author(s): Bahar Asgari
FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction
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2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
UMD Author(s): Bahar Asgari
MEISSA: Multiplying Matrices Efficiently in a Scalable Systolic Architecture
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2020 IEEE 38th International Conference on Computer Design (ICCD)
UMD Author(s): Bahar Asgari
PISCES: Power-Aware Implementation of SLAM by Customizing Efficient Sparse Algebra
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2020 57th ACM/IEEE Design Automation Conference (DAC)
UMD Author(s): Bahar Asgari
ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator
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2020 IEEE International Symposium on High Performance Computer Architecture (HPCA)
UMD Author(s): Bahar Asgari
Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices
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2019 IEEE International Symposium on Workload Characterization (IISWC)
UMD Author(s): Bahar Asgari
ERIDANUS: Efficiently Running Inference of DNNs Using Systolic Arrays
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IEEE Micro
UMD Author(s): Bahar Asgari