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ORCIDRamyad Hadidi
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2020 – today
- 2024
[i14]Adarsha Balaji, Ramyad Hadidi, Gregory Kollmer, Mohammed E. Fouda, Prasanna Balaprakash:
Network architecture search of X-ray based scientific applications. CoRR abs/2404.10689 (2024)- [i13]Donghyeon Joo, Ramyad Hadidi, Soheil Feizi, Bahar Asgari:
Endor: Hardware-Friendly Sparse Format for Offloaded LLM Inference. CoRR abs/2406.11674 (2024) - 2023
- [c25]Ramyad Hadidi, Jiashen Cao, Bahar Asgari, Hyesoon Kim:
Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT. EDGE 2023: 126-132 - [c24]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. EDGE 2023: 245-254 - [c23]Ramyad Hadidi, Nima Shoghi Ghaleshahi, Bahar Asgari, Hyesoon Kim:
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization. EDGE 2023: 255-261 - 2022
- [c22]Jiashen Cao, Karan Sarkar, Ramyad Hadidi
, Joy Arulraj, Hyesoon Kim:
FiGO: Fine-Grained Query Optimization in Video Analytics. SIGMOD Conference 2022: 559-572 - 2021
- [j7]Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili:
Efficiently Solving Partial Differential Equations in a Partially Reconfigurable Specialized Hardware. IEEE Trans. Computers 70(4): 524-538 (2021) - [c21]Ramyad Hadidi, Bahar Asgari, Sam Jijina, Adriana Amyette, Nima Shoghi, Hyesoon Kim:
Quantifying the design-space tradeoffs in autonomous drones. ASPLOS 2021: 661-673 - [c20]Bahar Asgari, Ramyad Hadidi, Jiashen Cao, Da Eun Shim, Sung Kyu Lim, Hyesoon Kim:
FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction. HPCA 2021: 908-920 - [c19]Bahar Asgari, Ramyad Hadidi, Joshua Dierberger, Charlotte Steinichen, Amaan Marfatia, Hyesoon Kim:
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads. IISWC 2021: 1-12 - [i12]Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim:
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. CoRR abs/2102.08481 (2021) - [i11]Ramyad Hadidi, Jiashen Cao, Hyesoon Kim:
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems. CoRR abs/2104.04447 (2021) - [i10]Ramyad Hadidi, Nima Shoghi Ghaleshahi, Bahar Asgari, Hyesoon Kim:
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization. CoRR abs/2104.04563 (2021) - 2020
- [j6]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Toward Collaborative Inferencing of Deep Neural Networks on Internet-of-Things Devices. IEEE Internet Things J. 7(6): 4950-4960 (2020) - [c18]Hyojong Kim, Jaewoong Sim, Prasun Gera, Ramyad Hadidi, Hyesoon Kim:
Batch-Aware Unified Memory Management in GPUs for Irregular Workloads. ASPLOS 2020: 1357-1370 - [c17]Bahar Asgari, Ramyad Hadidi, Nima Shoghi Ghaleshahi, Hyesoon Kim:
PISCES: Power-Aware Implementation of SLAM by Customizing Efficient Sparse Algebra. DAC 2020: 1-6 - [c16]Bahar Asgari, Ramyad Hadidi, Hyesoon Kim:
ASCELLA: Accelerating Sparse Computation by Enabling Stream Accesses to Memory. DATE 2020: 318-321 - [c15]Bahar Asgari, Ramyad Hadidi, Hyesoon Kim:
Proposing a Fast and Scalable Systolic Array for Matrix Multiplication. FCCM 2020: 204 - [c14]Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili:
ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator. HPCA 2020: 249-260 - [c13]Bahar Asgari, Ramyad Hadidi, Hyesoon Kim:
MEISSA: Multiplying Matrices Efficiently in a Scalable Systolic Architecture. ICCD 2020: 130-137 - [c12]Sam Jijina, Adriana Amyette, Nima Shoghi Ghaleshahi, Ramyad Hadidi, Hyesoon Kim:
Understanding the Software and Hardware Stacks of a General-Purpose Cognitive Drone. ISPASS 2020: 212-214 - [i9]Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Younmin Bae, Hyojong Kim, Michael S. Ryoo, Hyesoon Kim:
Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. CoRR abs/2003.06464 (2020) - [i8]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Reducing Inference Latency with Concurrent Architectures for Image Recognition. CoRR abs/2011.07092 (2020) - [i7]Nima Shoghi Ghaleshahi, Ramyad Hadidi, Jaewon Lee, Jun Chen, Arthur Siqueira, Rahul Rajan, Shaan Dhawan, Pooya Shoghi Ghalehshahi, Hyesoon Kim:
Secure Location-Aware Authentication and Communication for Intelligent Transportation Systems. CoRR abs/2011.08936 (2020) - [i6]Bahar Asgari, Ramyad Hadidi, Joshua Dierberger, Charlotte Steinichen, Hyesoon Kim:
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads. CoRR abs/2011.10932 (2020)
2010 – 2019
- 2019
- [j5]Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, Hyesoon Kim:
Thermal-aware processing-in-memory instruction offloading. J. Parallel Distributed Comput. 130: 193-207 (2019) - [j4]Bahar Asgari, Ramyad Hadidi, Hyesoon Kim, Sudhakar Yalamanchili:
ERIDANUS: Efficiently Running Inference of DNNs Using Systolic Arrays. IEEE Micro 39(5): 46-54 (2019) - [c11]Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim:
Video analytics from edge to server: work-in-progress. CODES+ISSS 2019: 14:1-14:2 - [c10]Bahar Asgari, Ramyad Hadidi, Hyesoon Kim, Sudhakar Yalamanchili:
LODESTAR: Creating Locally-Dense CNNs for Efficient Inference on Systolic Arrays. DAC 2019: 233 - [c9]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. DAC 2019: 234 - [c8]Younmin Bae, Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Hyesoon Kim:
Capella: Customizing Perception for Edge Devices by Efficiently Allocating FPGAs to DNNs. FPL 2019: 421 - [c7]Ramyad Hadidi, Jiashen Cao, Yilun Xie, Bahar Asgari, Tushar Krishna, Hyesoon Kim:
Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices. IISWC 2019: 35-48 - [c6]Matthew L. Merck, Bingyao Wang, Lixing Liu, Chunjun Jia, Arthur Siqueira, Qiusen Huang, Abhijeet Saraha, Dongsuk Lim, Jiashen Cao, Ramyad Hadidi, Hyesoon Kim:
Characterizing the Execution of Deep Neural Networks on Collaborative Robots and Edge Devices. PEARC 2019: 65:1-65:6 - [i5]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Collaborative Execution of Deep Neural Networks on Internet of Things Devices. CoRR abs/1901.02537 (2019) - 2018
- [j3]Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim:
Distributed Perception by Collaborative Robots. IEEE Robotics Autom. Lett. 3(4): 3709-3716 (2018) - [j2]Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh:
CODA: Enabling Co-location of Computation and Data for Multiple GPU Systems. ACM Trans. Archit. Code Optim. 15(3): 32:1-32:23 (2018) - [c5]Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim:
Real-Time Image Recognition Using Collaborative IoT Devices. ReQuEST@ASPLOS 2018: 4 - [c4]Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, Hyesoon Kim:
CoolPIM: Thermal-Aware Source Throttling for Efficient PIM Instruction Offloading. IPDPS 2018: 680-689 - [c3]Ramyad Hadidi, Bahar Asgari, Jeffrey S. Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim:
Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube. ISPASS 2018: 99-108 - [i4]Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim:
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices. CoRR abs/1802.02138 (2018) - 2017
- [j1]Ramyad Hadidi, Lifeng Nai, Hyojong Kim, Hyesoon Kim:
CAIRO: A Compiler-Assisted Technique for Enabling Instruction-Level Offloading of Processing-In-Memory. ACM Trans. Archit. Code Optim. 14(4): 48:1-48:25 (2017) - [c2]Lifeng Nai, Ramyad Hadidi, Jaewoong Sim, Hyojong Kim, Pranith Kumar, Hyesoon Kim:
GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks. HPCA 2017: 457-468 - [c1]Ramyad Hadidi, Bahar Asgari, Burhan Ahmad Mudassar, Saibal Mukhopadhyay, Sudhakar Yalamanchili, Hyesoon Kim:
Demystifying the characteristics of 3D-stacked memories: A case study for Hybrid Memory Cube. IISWC 2017: 66-75 - [i3]Ramyad Hadidi, Bahar Asgari, Burhan Ahmad Mudassar, Saibal Mukhopadhyay, Sudhakar Yalamanchili, Hyesoon Kim:
Demystifying the Characteristics of 3D-Stacked Memories: A Case Study for Hybrid Memory Cube. CoRR abs/1706.02725 (2017) - [i2]Ramyad Hadidi, Bahar Asgari, Jeffrey S. Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim:
Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube. CoRR abs/1707.05399 (2017) - [i1]Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh:
CODA: Enabling Co-location of Computation and Data for Near-Data Processing. CoRR abs/1710.09517 (2017)
Coauthor Index
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last updated on 2024-07-19 18:32 CEST by the dblp team
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