Ramyad Hadidi - RankMe

50 papers A* 9A 2B 4C 1Misc 2Journal 22Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Coruscant: Co-Designing GPU Kernel and Sparse Tensor Core to Advocate Unstructured Sparsity in Efficient LLM Inference. MICRO Donghyeon Joo, Helya Hosseini, Ramyad Hadidi, Bahar Asgari
2025	B	`conf`	La Superba: Leveraging a Self-Comparison Method to Understand the Performance Benefits of Sparse Acceleration Optimizations. ISPASS Nebil Ozer, Gregory Kollmer, Ramyad Hadidi, Bahar Asgari
2025	J	`jnl`	Mustafar: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference. CoRR Donghyeon Joo, Helya Hosseini, Ramyad Hadidi, Bahar Asgari
2024	J	`jnl`	Endor: Hardware-Friendly Sparse Format for Offloaded LLM Inference. CoRR Donghyeon Joo, Ramyad Hadidi, Soheil Feizi, Bahar Asgari
2024	J	`jnl`	Network architecture search of X-ray based scientific applications. CoRR Adarsha Balaji, Ramyad Hadidi, Gregory Kollmer, Mohammed E. Fouda, Prasanna Balaprakash
2023	—	`conf`	Context-Aware Task Handling in Resource-Constrained Robots with Virtualization. EDGE Ramyad Hadidi, Nima Shoghi Ghaleshahi, Bahar Asgari, Hyesoon Kim
2023	—	`conf`	Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT. EDGE Ramyad Hadidi, Jiashen Cao, Bahar Asgari, Hyesoon Kim
2023	—	`conf`	Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. EDGE Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
2022	—	`conf`	FiGO: Fine-Grained Query Optimization in Video Analytics. SIGMOD Conference Jiashen Cao, Karan Sarkar, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
2021	J	`jnl`	Context-Aware Task Handling in Resource-Constrained Robots with Virtualization. CoRR Ramyad Hadidi, Nima Shoghi Ghaleshahi, Bahar Asgari, Hyesoon Kim
2021	—	`conf`	Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads. IISWC Bahar Asgari, Ramyad Hadidi, Joshua Dierberger, Charlotte Steinichen, Amaan Marfatia, Hyesoon Kim
2021	J	`jnl`	Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems. CoRR Ramyad Hadidi, Jiashen Cao, Hyesoon Kim
2021	—	`—`	Deploying Deep Neural Networks in Edge with Distribution. Ramyad Hadidi
2021	J	`jnl`	Efficiently Solving Partial Differential Equations in a Partially Reconfigurable Specialized Hardware. IEEE Trans. Computers Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili
2021	A*	`conf`	FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction. HPCA Bahar Asgari, Ramyad Hadidi, Jiashen Cao, Da Eun Shim, Sung Kyu Lim, Hyesoon Kim
2021	A*	`conf`	Quantifying the design-space tradeoffs in autonomous drones. ASPLOS Ramyad Hadidi, Bahar Asgari, Sam Jijina, Adriana Amyette, Nima Shoghi, Hyesoon Kim
2021	J	`jnl`	THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. CoRR Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
2020	A*	`conf`	ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator. HPCA Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili
2020	A	`conf`	ASCELLA: Accelerating Sparse Computation by Enabling Stream Accesses to Memory. DATE Bahar Asgari, Ramyad Hadidi, Hyesoon Kim
2020	A*	`conf`	Batch-Aware Unified Memory Management in GPUs for Irregular Workloads. ASPLOS Hyojong Kim, Jaewoong Sim, Prasun Gera, Ramyad Hadidi, Hyesoon Kim
2020	J	`jnl`	Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads. CoRR Bahar Asgari, Ramyad Hadidi, Joshua Dierberger, Charlotte Steinichen, Hyesoon Kim
2020	J	`jnl`	Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. CoRR Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Younmin Bae, Hyojong Kim, Michael S. Ryoo, Hyesoon Kim
2020	C	`conf`	MEISSA: Multiplying Matrices Efficiently in a Scalable Systolic Architecture. ICCD Bahar Asgari, Ramyad Hadidi, Hyesoon Kim
2020	A*	`conf`	PISCES: Power-Aware Implementation of SLAM by Customizing Efficient Sparse Algebra. DAC Bahar Asgari, Ramyad Hadidi, Nima Shoghi Ghaleshahi, Hyesoon Kim
2020	Misc	`conf`	Proposing a Fast and Scalable Systolic Array for Matrix Multiplication. FCCM Bahar Asgari, Ramyad Hadidi, Hyesoon Kim
2020	J	`jnl`	Reducing Inference Latency with Concurrent Architectures for Image Recognition. CoRR Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
2020	J	`jnl`	Secure Location-Aware Authentication and Communication for Intelligent Transportation Systems. CoRR Nima Shoghi Ghaleshahi, Ramyad Hadidi, Jaewon Lee, Jun Chen, Arthur Siqueira, Rahul Rajan, Shaan Dhawan, Pooya Shoghi Ghalehshahi, Hyesoon Kim
2020	J	`jnl`	Toward Collaborative Inferencing of Deep Neural Networks on Internet-of-Things Devices. IEEE Internet Things J. Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
2020	B	`conf`	Understanding the Software and Hardware Stacks of a General-Purpose Cognitive Drone. ISPASS Sam Jijina, Adriana Amyette, Nima Shoghi Ghaleshahi, Ramyad Hadidi, Hyesoon Kim
2019	B	`conf`	Capella: Customizing Perception for Edge Devices by Efficiently Allocating FPGAs to DNNs. FPL Younmin Bae, Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Hyesoon Kim
2019	—	`conf`	Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices. IISWC Ramyad Hadidi, Jiashen Cao, Yilun Xie, Bahar Asgari, Tushar Krishna, Hyesoon Kim
2019	—	`conf`	Characterizing the Execution of Deep Neural Networks on Collaborative Robots and Edge Devices. PEARC Matthew L. Merck, Bingyao Wang, Lixing Liu, Chunjun Jia, Arthur Siqueira, Qiusen Huang, Abhijeet Saraha, Dongsuk Lim, Jiashen Cao, Ramyad Hadidi, Hyesoon Kim
2019	J	`jnl`	Collaborative Execution of Deep Neural Networks on Internet of Things Devices. CoRR Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
2019	J	`jnl`	ERIDANUS: Efficiently Running Inference of DNNs Using Systolic Arrays. IEEE Micro Bahar Asgari, Ramyad Hadidi, Hyesoon Kim, Sudhakar Yalamanchili
2019	A*	`conf`	LODESTAR: Creating Locally-Dense CNNs for Efficient Inference on Systolic Arrays. DAC Bahar Asgari, Ramyad Hadidi, Hyesoon Kim, Sudhakar Yalamanchili
2019	A*	`conf`	Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. DAC Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
2019	J	`jnl`	Thermal-aware processing-in-memory instruction offloading. J. Parallel Distributed Comput. Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, Hyesoon Kim
2019	Misc	`conf`	Video analytics from edge to server: work-in-progress. CODES+ISSS Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
2018	J	`jnl`	CODA: Enabling Co-location of Computation and Data for Multiple GPU Systems. ACM Trans. Archit. Code Optim. Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh
2018	A	`conf`	CoolPIM: Thermal-Aware Source Throttling for Efficient PIM Instruction Offloading. IPDPS Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, Hyesoon Kim
2018	J	`jnl`	Distributed Perception by Collaborative Robots. IEEE Robotics Autom. Lett. Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
2018	J	`jnl`	Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices. CoRR Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
2018	B	`conf`	Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube. ISPASS Ramyad Hadidi, Bahar Asgari, Jeffrey S. Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim
2018	—	`conf`	Real-Time Image Recognition Using Collaborative IoT Devices. ReQuEST@ASPLOS Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
2017	J	`jnl`	CAIRO: A Compiler-Assisted Technique for Enabling Instruction-Level Offloading of Processing-In-Memory. ACM Trans. Archit. Code Optim. Ramyad Hadidi, Lifeng Nai, Hyojong Kim, Hyesoon Kim
2017	J	`jnl`	CODA: Enabling Co-location of Computation and Data for Near-Data Processing. CoRR Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh
2017	J	`jnl`	Demystifying the Characteristics of 3D-Stacked Memories: A Case Study for Hybrid Memory Cube. CoRR Ramyad Hadidi, Bahar Asgari, Burhan Ahmad Mudassar, Saibal Mukhopadhyay, Sudhakar Yalamanchili, Hyesoon Kim
2017	—	`conf`	Demystifying the characteristics of 3D-stacked memories: A case study for Hybrid Memory Cube. IISWC Ramyad Hadidi, Bahar Asgari, Burhan Ahmad Mudassar, Saibal Mukhopadhyay, Sudhakar Yalamanchili, Hyesoon Kim
2017	A*	`conf`	GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks. HPCA Lifeng Nai, Ramyad Hadidi, Jaewoong Sim, Hyojong Kim, Pranith Kumar, Hyesoon Kim
2017	J	`jnl`	Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube. CoRR Ramyad Hadidi, Bahar Asgari, Jeffrey S. Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim