Ramyad Hadidi

Orcid: 0000-0002-8731-1084

According to our database1, Ramyad Hadidi authored at least 41 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2022
FiGO: Fine-Grained Query Optimization in Video Analytics.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021
Efficiently Solving Partial Differential Equations in a Partially Reconfigurable Specialized Hardware.
IEEE Trans. Computers, 2021

Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems.
CoRR, 2021

THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning.
CoRR, 2021

Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads.
Proceedings of the IEEE International Symposium on Workload Characterization, 2021

FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

Quantifying the design-space tradeoffs in autonomous drones.
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020
Toward Collaborative Inferencing of Deep Neural Networks on Internet-of-Things Devices.
IEEE Internet Things J., 2020

Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads.
CoRR, 2020

Secure Location-Aware Authentication and Communication for Intelligent Transportation Systems.
CoRR, 2020

Reducing Inference Latency with Concurrent Architectures for Image Recognition.
CoRR, 2020

Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution.
CoRR, 2020

Understanding the Software and Hardware Stacks of a General-Purpose Cognitive Drone.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

MEISSA: Multiplying Matrices Efficiently in a Scalable Systolic Architecture.
Proceedings of the 38th IEEE International Conference on Computer Design, 2020

ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

Proposing a Fast and Scalable Systolic Array for Matrix Multiplication.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

ASCELLA: Accelerating Sparse Computation by Enabling Stream Accesses to Memory.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

PISCES: Power-Aware Implementation of SLAM by Customizing Efficient Sparse Algebra.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Batch-Aware Unified Memory Management in GPUs for Irregular Workloads.
Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019
ERIDANUS: Efficiently Running Inference of DNNs Using Systolic Arrays.
IEEE Micro, 2019

Thermal-aware processing-in-memory instruction offloading.
J. Parallel Distributed Comput., 2019

Collaborative Execution of Deep Neural Networks on Internet of Things Devices.
CoRR, 2019

Characterizing the Execution of Deep Neural Networks on Collaborative Robots and Edge Devices.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices.
Proceedings of the IEEE International Symposium on Workload Characterization, 2019

Capella: Customizing Perception for Edge Devices by Efficiently Allocating FPGAs to DNNs.
Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

LODESTAR: Creating Locally-Dense CNNs for Efficient Inference on Systolic Arrays.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Video analytics from edge to server: work-in-progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

2018
CODA: Enabling Co-location of Computation and Data for Multiple GPU Systems.
ACM Trans. Archit. Code Optim., 2018

Distributed Perception by Collaborative Robots.
IEEE Robotics Autom. Lett., 2018

Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices.
CoRR, 2018

Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2018

CoolPIM: Thermal-Aware Source Throttling for Efficient PIM Instruction Offloading.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Real-Time Image Recognition Using Collaborative IoT Devices.
Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning, 2018

2017
CAIRO: A Compiler-Assisted Technique for Enabling Instruction-Level Offloading of Processing-In-Memory.
ACM Trans. Archit. Code Optim., 2017

CODA: Enabling Co-location of Computation and Data for Near-Data Processing.
CoRR, 2017

Demystifying the characteristics of 3D-stacked memories: A case study for Hybrid Memory Cube.
Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks.
Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017


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