Ramyad Hadidi

Computer Science · Physical Sciences

19h-index1.3kcitations51works1.32yr avg
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Research Topics

Advanced Neural Network Applications(18), Parallel Computing and Optimization Techniques(16), IoT and Edge/Fog Computing(8), Advanced Memory and Neural Computing(8), Advanced Data Storage Technologies(6)

Publications51 total

Mustafar: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference
arXiv (Cornell University)·2025Open Access
La Superba: Leveraging a Self-Comparison Method to Understand the Performance Benefits of Sparse Acceleration Optimizations
2025· 5 cited
Endor: Hardware-Friendly Sparse Format for Offloaded LLM Inference
arXiv (Cornell University)·2024Open Access
Network architecture search of X-ray based scientific applications
arXiv (Cornell University)·2024Open Access
LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference for IoT
2023
Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT
2023· 2 cited
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization
2023
Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge
2023· 2 cited
FiGO: Fine-Grained Query Optimization in Video Analytics
Proceedings of the 2022 International Conference on Management of Data·2022· 30 cited
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads
2021· 14 citedOpen Access
Table of Contents
2021· 1 citedOpen Access
Quantifying the design-space tradeoffs in autonomous drones
2021· 26 cited
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization
arXiv (Cornell University)·2021Open Access
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
arXiv (Cornell University)·2021Open Access
Efficiently Solving Partial Differential Equations in a Partially Reconfigurable Specialized Hardware
IEEE Transactions on Computers·2021· 3 cited
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning
arXiv (Cornell University)·2021· 6 citedOpen Access
FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction
2021· 80 cited
Quantifying the Design-Space Tradeoffs in Autonomous Drones
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Quantifying the Design-Space Tradeoffs in Autonomous Drones
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Quantifying the Design-Space Tradeoffs in Autonomous Drones
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
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Frequent Co-authors

Hyesoon Kim(45), Bahar Asgari(27), Jiashen Cao(22), Michael S. Ryoo(13), Hyojong Kim(8), Sudhakar Yalamanchili(5), Lifeng Nai(4), Jaewoong Sim(4), Matthew Woodward(4), Sam Jijina(4), Adriana Amyette(4), Nima Shoghi Ghaleshahi(4), Younmin Bae(4), Tushar Krishna(3), Da Eun Shim(3), Sung Kyu Lim(3), Joy Arulraj(3), Nima Shoghi(2), Joshua Dierberger(2), Charlotte Steinichen(2)