2024

• Endor: Hardware-Friendly Sparse Format for Offloaded LLM Inference
  Donghyeon Joo, Ramyad Hadidi, Soheil Feizi, Bahar Asgari
  ^[Paper]

• Network Architecture Search of X-Ray Based Scientific Applications
  Adarsha Balaji, Ramyad Hadidi, Gregory Kollmer, Mohammed E. Fouda, Prasanna Balaprakash
  ^[Paper]

2023

• LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference for IoT
  Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Younmin Bae, Da Eun Shim, Hyojong Kim, Sung-Kyu Lim, Michael S. Ryoo, Hyesoon Kim
  CSCE’23
  ^{[Paper] [Slides] [19% Acceptance Rate]}

• Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge
  Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
  IEEE Edge’23
  ^{[Paper] [Slides] [17% Acceptance Rate]}

• Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT
  Ramyad Hadidi, Jiashen Cao, Bahar Asgari, Hyesoon Kim
  IEEE Edge’23
  ^{[Paper] [Slides]}
  

• Context-Aware Task Handling in Resource-Constrained Robots with Virtualization
  Ramyad Hadidi, Nima Shoghi Ghalehshahi, Bahar Asgari, Hyesoon Kim
  IEEE Edge’23
  ^{[Paper] [Slides] [Demo]}
  

2022

• FiGO: Fine-Grained Query Optimization in Video Analytics
  Jiashen Cao, Karan Sarkar, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
  SIGMOD’22
  ^{[Paper] [ACM Version]}

• DynaaDCP: Dynamic Navigation of Autonomous Agents for Distributed Capture Processing
  Sam Jijina, Ramyad Hadidi, Jun Chen, Zhen Jiang, Ashutosh Dhekne, Hyesoon Kim
  DOSSA-4^{@HPCA’22
  [Paper] [Slides]}

2021

• Deploying Deep Neural Networks in Edge with Distribution
  PhD Dissertation
  Ramyad Hadidi
  ^{[Georgia Tech Library]}

• Quantifying the Design-Space Tradeoffs in Autonomous Drones
  Ramyad Hadidi, Bahar Asgari, Sam Jijina, Adriana Amyette, Nima Shoghi, Hyesoon Kim
  ASPLOS’21
  ^{[Paper] [Talk] [Artifact] [GitHub] [Build Guide]}

• Context-Aware Task Handling in Resource-Constrained Robots with Virtualization
  Ramyad Hadidi, Nima Shoghi, Bahar Asgari, Hyesoon Kim
  DAC’21^LBR

• 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
  HPCA’21
  ^{[Paper] [Short Video]}

• Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads
  Bahar Asgari, Ramyad Hadidi, Joshua Dierberge, Charlotte Steinichen, Amaan Marfatia, Hyesoon Kim
  IISWC’21
  ^{[Paper] [Best Paper Nominee]}

• Efficiently Solving Partial Differential Equations in a Partially Reconfigurable Specialized Hardware
  Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili
  Transactions on Computers
  ^[Paper]

2020

• Towards Collaborative Inferencing of Deep Neural Networks on Internet of Things Devices
  Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
  Internet of Things Journal (IoTJ)
  ^{[Paper] [Author’s Copy] [arXiv]}

• ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator
  Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili
  HPCA’20
  ^{[Paper] [Slides]}

• PISCES: Power-Aware Implementation of SLAM by Customizing Efficient Sparse Algebra
  Bahar Asgari, Ramyad Hadidi, Nima Shoghi, Hyesoon Kim
  DAC’20
  ^{[Paper] [Slides] [Video]}

• ASCELLA: Accelerating Sparse Computation by Enabling Stream Accesses to Memory
  Bahar Asgari, Ramyad Hadidi, Hyesoon Kim
  DATE’20
  ^{[Paper] [Slides] [Video]}
  

• MEISSA: Multiplying Matrices Efficiently in a Scalable Systolic Architecture
  Bahar Asgari, Ramyad Hadidi, Hyesoon Kim
  ICCD’20
  ^{[Paper] [Video]}

• Proposing a Fast and Scalable Systolic Array to Implement Matrix Multiplications
  Bahar Asgari, Ramyad Hadidi, Hyesoon Kim
  FCCM’20
  ^{[Slides] [Video]}

• Secure Location-Aware Authentication and Communication for Intelligent Transportation Systems
  Nima Shoghi Ghalehshahi, Ramyad Hadidi, Lee Jaewon, Jun Chen, Arthur Siqueria, Rahul Rajan, Shaan Dhawan, Pooya Shoghi Ghalehshahi, Hyesoon Kim
  ^[arXiv]
  

• Batch-Aware Unified Memory Management in GPUs for Irregular Workloads
  Hyojong Kim, Jaewoong Sim, Prasun Gera, Ramyad Hadidi, Hyesoon Kim
  ASPLOS’20
  ^{[Paper] [Talk]}

• Understanding the Software and Hardware Stacks of a General-Purpose Cognitive Drone
  Sam Jijina, Adriana Amyette, Nima Shoghi, Ramyad Hadidi, Hyesoon Kim
  ISPASS’20^{Poster
  [Poster] [Paper] [Mentored Undergraduate Work]}

• Towards a General Purpose Cognitive Drone
  Sam Jijina, Adriana Amyette, Ramyad Hadidi, Hyesoon Kim
  CogArch @ HPCA’20
  ^{[Slides] [Paper] [Mentored Undergraduate Work]}

2019

• Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices
  Ramyad Hadidi, Jiashen Cao, Yilun Xie, Bahar Asgari, Tushar Krishna, Hyesoon Kim
  IISWC’19
  ^{[Paper] [EdgeBench] [Slides] [Best Paper Nominee]}

• Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing
  Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
  DAC’19^{LBR
  [Paper] [Slides]}

• ERIDANUS: Efficiently Running Inference of DNNs Using Systolic Arrays
  Bahar Asgari, Ramyad Hadidi, Hyesoon Kim, Sudhakar Yalamanchili
  IEEE Micro’19
  ^[Paper]

• Thermal-Aware Processing-in-memory Instruction Offloading
  Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, and Hyesoon Kim
  JPDC’19
  ^[Paper]

• LODESTAR: Creating Locally-Dense CNNs for Efficient Inference on Systolic Arrays
  Bahar Asgari, Ramyad Hadidi, Hyesoon Kim, and Sudhakar Yalamanchili
  DAC’19^{LBR
  [Paper]}

• Video Analytics From Edge To Server: Work-in-Progress
  Jiashen Cao, Ramyad Hadidi, Joy Arulraj and Hyesoon Kim
  ESWEEK’19
  ^{[Paper] [Slides]}

• SLAM Performance on Embedded Robots
  Nima Shoghi, Ramyad Hadidi, Hyesoon Kim
  ESWEEK’19^{SRC
  [Paper] [Mentored Undergraduate Work] [ACM SRC Bronze Winner]}

• Capella: Customizing Perception for Edge Devices by Efficiently Allocating FPGAs to DNNs
  Younmin Bae, Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Hyesoon Kim
  FPL’19^{Demo
  [Demo Site] [Slides] [Paper] [Mentored Undergraduate Work]}

• Enabling Speech to Text on Embedded Systems
  Mohan Dodda, Taejoon Park, Sayuj Shajith, Ramyad Hadidi, Hyesoon Kim
  ESWEEK’19^{SRC
  [Paper] [Mentored Undergraduate Work]}

• Characterizing the Execution of Deep Neural Networks on Collaborative Robots and Edge Devices
  Matthew Merck, Bingyao Wang, Lixing Liu, Chunjun Jia, Arthur Siqueira, Qiusen Huang, Abhijeet Saraha, Dongsuk Lim, Jiashen Cao, Ramyad Hadidi, Hyesoon Kim
  PEARC’19
  ^{[Paper] [Slides] [Mentored Undergraduate Work]}

• An Edge-Centric Scalable Intelligent Framework To Collaboratively Execute DNN
  Jiashen Cao, Fei Wu, Ramyad Hadidi, Lixing Liu, Tushar Krishna, Michael S. Ryoo, Hyesoon Kim
  MLSys’19^{Demo
  [Demo Site] [Paper] [Mentored Undergraduate Work]}

• Understanding the Power Consumption of Executing Deep Neural Networks on a Distributed Robot System
  Ramyad Hadidi, Jiashen Cao, Matthew Merck, Arthur Siqueira, Qiusen Huang, Abhijeet Saraha, Chunjun Jia, Bingyao Wang, Dongsuk Lim, Lixing Liu and Hyesoon Kim
  LSAF @ ICRA’19
  ^{[Slides] [Paper]}

2018

• Distributed Perception by Collaborative Robots
  Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
  RA-L’18 & IROS’18
  ^{[Paper-(RA-L)] [Paper-(IROS)] [Spotlight] [Slides] [arXiv]}

• Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube
  Ramyad Hadidi, Bahar Asgari, Jeffrey Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim
  ISPASS’18
  ^{[Paper] [Slides]}
  

• CoolPIM: Thermal-Aware Source Throttling for Efficient PIM Instruction Offloading
  Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, Hyesoon Kim.
  IPDPS’18
  ^{[Paper] [Slides]}

• CODA: Enabling Co-location of Computation and Data for Near-Data Processing
  Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh
  TACO’18
  ^[Paper]
  

• Real-Time Image Recognition Using Collaborative IoT Devices
  Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
  ReQuEST @ ASPLOS’18
  ^{[Paper] [Slides]}

2017

• Demystifying the Characteristics of 3D-Stacked Memories: A Case Study for Hybrid Memory Cube
  Ramyad Hadidi, Bahar Asgari, Burhan Ahmad Mudassar, Saibal Mukhopadhyay, Sudhakar Yalamanchili, Hyesoon Kim
  IISWC’17
  ^{[Paper] [Slides]}

• CAIRO: A Compiler-Assisted Technique for Enabling Instruction-Level Offloading of Processing-In-Memory
  Ramyad Hadidi, Lifeng Nai, Hyojong Kim, Hyesoon Kim
  TACO’17
  ^[Paper]

• GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks
  Lifeng Nai, Ramyad Hadidi, Jaewoong Sim, Hyojong Kim, Pranith Kumar, Hyesoon Kim
  HPCA’17
  ^{[Paper] [Slides] [Spotlight]}