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ORCIDGerasimos Gerogiannis
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2020 – today
- 2026
[c12]Damitha Lenadora, Vimarsh Sathia, Gerasimos Gerogiannis, Serif Yesil, Josep Torrellas, Charith Mendis
:
GRANII: Selection and Ordering of Primitives in GRAph Neural Networks using Input Inspection. CGO 2026: 14-27- 2025
- [c11]Chamika Sudusinghe, Gerasimos Gerogiannis, Damitha Lenadora, Charles Block, Josep Torrellas, Charith Mendis:
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning. ICML 2025 - [c10]Hyoungwook Nam, Gerasimos Gerogiannis, Josep Torrellas:
MeshSlice: Efficient 2D Tensor Parallelism for Distributed DNN Training. ISCA 2025: 821-834 - [c9]Gerasimos Gerogiannis, Stijn Eyerman, Evangelos Georganas, Wim Heirman, Josep Torrellas:
DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline Model. MICRO 2025: 184-200 - [c8]Charles Block, Gerasimos Gerogiannis, Josep Torrellas:
Micro-MAMA: Multi-Agent Reinforcement Learning for Multicore Prefetching. MICRO 2025: 884-898 - [c7]Gerasimos Gerogiannis, Dimitrios Merkouriadis, Charles Block, Annus Zulfiqar, Filippos Tofalos, Muhammad Shahbaz, Josep Torrellas:
NetSparse: In-Network Acceleration of Distributed Sparse Kernels. MICRO 2025: 958-974 - [i4]Gerasimos Gerogiannis, Stijn Eyerman, Evangelos Georganas, Wim Heirman, Josep Torrellas:
DECA: A Near-Core LLM Decompression Accelerator Supporting Out-of-Order Invocation. CoRR abs/2505.19349 (2025) - [i3]Chamika Sudusinghe, Gerasimos Gerogiannis, Damitha Lenadora, Charles Block, Josep Torrellas, Charith Mendis:
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning. CoRR abs/2506.00424 (2025) - 2024
- [j2]Gerasimos Gerogiannis, Josep Torrellas:
Practical Online Reinforcement Learning for Microprocessors With Micro-Armed Bandit. IEEE Micro 44(4): 80-87 (2024) - [c6]Charles Block, Gerasimos Gerogiannis, Charith Mendis, Ariful Azad, Josep Torrellas:
Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM. ASPLOS (2) 2024: 1200-1217 - [c5]Gerasimos Gerogiannis, Sriram Aananthakrishnan, Josep Torrellas, Ibrahim Hur:
HotTiles: Accelerating SpMM with Heterogeneous Accelerator Architectures. HPCA 2024: 1012-1028 - [c4]Isuru Ranawaka, Md Taufique Hussain, Charles Block, Gerasimos Gerogiannis, Josep Torrellas, Ariful Azad:
Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication. SC 2024: Article 46 - [i2]Isuru Ranawaka, Md Taufique Hussain, Charles Block, Gerasimos Gerogiannis, Josep Torrellas, Ariful Azad:
Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication. CoRR abs/2408.11988 (2024) - 2023
- [c3]Gerasimos Gerogiannis, Serif Yesil, Damitha Lenadora, Dingyuan Cao, Charith Mendis, Josep Torrellas:
SPADE: A Flexible and Scalable Accelerator for SpMM and SDDMM. ISCA 2023: 19:1-19:15 - [c2]Matthew Joseph Adiletta, Jesmin Jahan Tithi, Emmanouil-Ioannis Farsarakis, Gerasimos Gerogiannis, Robert Adolf, Robert Benke, Sidharth Kashyap, Samuel Hsia, Kartik Lakhotia, Fabrizio Petrini, Gu-Yeon Wei, David Brooks:
Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA. ISPASS 2023: 168-177 - [c1]Gerasimos Gerogiannis, Josep Torrellas:
Micro-Armed Bandit: Lightweight & Reusable Reinforcement Learning for Microarchitecture Decision-Making. MICRO 2023: 698-713 - [i1]Damitha Lenadora, Vimarsh Sathia, Gerasimos Gerogiannis, Serif Yesil, Josep Torrellas, Charith Mendis:
Input-sensitive dense-sparse primitive compositions for GNN acceleration. CoRR abs/2306.15155 (2023) - 2022
- [j1]Gerasimos Gerogiannis, Michael K. Birbas, Aimilios Leftheriotis, Eleftherios Mylonas, Nikolaos Tzanis, Alexios N. Birbas:
Deep Reinforcement Learning Acceleration for Real-Time Edge Computing Mixed Integer Programming Problems. IEEE Access 10: 18526-18543 (2022)
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