| 2026 | ISCA | Early Silicon of Raptor: The First 3D-DRAM Accelerator for Generative Inference. | Prashant J. Nair, Ramyad Hadidi, Subramani Ganesh, Sangamesh Kodge, Shubhankit Rathore, Neil Thanawala, Nikitha Reddy, Gyanesh Saharia, Vinayak Patankar, Arun Tiruvur, Nithesh Kurella, Sudeep Bhoja |
| 2025 | ISPASS | La Superba: Leveraging a Self-Comparison Method to Understand the Performance Benefits of Sparse Acceleration Optimizations. | Nebil Ozer, Gregory Kollmer, Ramyad Hadidi, Bahar Asgari |
| 2025 | MICRO | Coruscant: Co-Designing GPU Kernel and Sparse Tensor Core to Advocate Unstructured Sparsity in Efficient LLM Inference. | Donghyeon Joo, Helya Hosseini, Ramyad Hadidi, Bahar Asgari |
| 2022 | SIGMOD | FiGO: Fine-Grained Query Optimization in Video Analytics. | Jiashen Cao, Karan Sarkar, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim |
| 2021 | ASPLOS | Quantifying the design-space tradeoffs in autonomous drones. | Ramyad Hadidi, Bahar Asgari, Sam Jijina, Adriana Amyette, Nima Shoghi, Hyesoon Kim |
| 2021 | HPCA | FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction. | Bahar Asgari, Ramyad Hadidi, Jiashen Cao, Da Eun Shim, Sung Kyu Lim, Hyesoon Kim |
| 2020 | ASPLOS | Batch-Aware Unified Memory Management in GPUs for Irregular Workloads. | Hyojong Kim, Jaewoong Sim, Prasun Gera, Ramyad Hadidi, Hyesoon Kim |
| 2020 | DAC | PISCES: Power-Aware Implementation of SLAM by Customizing Efficient Sparse Algebra. | Bahar Asgari, Ramyad Hadidi, Nima Shoghi Ghaleshahi, Hyesoon Kim |
| 2020 | DATE | ASCELLA: Accelerating Sparse Computation by Enabling Stream Accesses to Memory. | Bahar Asgari, Ramyad Hadidi, Hyesoon Kim |
| 2020 | FCCM | Proposing a Fast and Scalable Systolic Array for Matrix Multiplication. | Bahar Asgari, Ramyad Hadidi, Hyesoon Kim |
| 2020 | HPCA | ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator. | Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili |
| 2020 | ICCD | MEISSA: Multiplying Matrices Efficiently in a Scalable Systolic Architecture. | Bahar Asgari, Ramyad Hadidi, Hyesoon Kim |
| 2020 | ISPASS | Understanding the Software and Hardware Stacks of a General-Purpose Cognitive Drone. | Sam Jijina, Adriana Amyette, Nima Shoghi Ghaleshahi, Ramyad Hadidi, Hyesoon Kim |
| 2019 | DAC | LODESTAR: Creating Locally-Dense CNNs for Efficient Inference on Systolic Arrays. | Bahar Asgari, Ramyad Hadidi, Hyesoon Kim, Sudhakar Yalamanchili |
| 2019 | DAC | Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. | Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim |
| 2019 | FPL | Capella: Customizing Perception for Edge Devices by Efficiently Allocating FPGAs to DNNs. | Younmin Bae, Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Hyesoon Kim |
| 2018 | ASPLOS | Real-Time Image Recognition Using Collaborative IoT Devices. | Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim |
| 2018 | ISPASS | Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube. | Ramyad Hadidi, Bahar Asgari, Jeffrey S. Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim |
| 2017 | HPCA | GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks. | Lifeng Nai, Ramyad Hadidi, Jaewoong Sim, Hyojong Kim, Pranith Kumar, Hyesoon Kim |