Gerasimos Gerogiannis

According to our database, Gerasimos Gerogiannis authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning.

Chamika Sudusinghe, Gerasimos Gerogiannis, Damitha Lenadora, Charles Block, Josep Torrellas, Charith Mendis

CoRR, June, 2025

DECA: A Near-Core LLM Decompression Accelerator Supporting Out-of-Order Invocation.

Gerasimos Gerogiannis, Stijn Eyerman, Evangelos Georganas, Wim Heirman, Josep Torrellas

CoRR, May, 2025

MeshSlice: Efficient 2D Tensor Parallelism for Distributed DNN Training.

Hyoungwook Nam, Gerasimos Gerogiannis, Josep Torrellas

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2024

Practical Online Reinforcement Learning for Microprocessors With Micro-Armed Bandit.

Gerasimos Gerogiannis, Josep Torrellas

IEEE Micro, 2024

Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication.

Isuru Ranawaka, Md Taufique Hussain, Charles Block, Gerasimos Gerogiannis, Josep Torrellas, Ariful Azad

Proceedings of the International Conference for High Performance Computing, 2024

HotTiles: Accelerating SpMM with Heterogeneous Accelerator Architectures.

Gerasimos Gerogiannis, Sriram Aananthakrishnan, Josep Torrellas, Ibrahim Hur

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM.

Charles Block, Gerasimos Gerogiannis, Charith Mendis, Ariful Azad, Josep Torrellas

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Input-sensitive dense-sparse primitive compositions for GNN acceleration.

Damitha Lenadora, Vimarsh Sathia, Gerasimos Gerogiannis, Serif Yesil, Josep Torrellas, Charith Mendis

CoRR, 2023

Micro-Armed Bandit: Lightweight & Reusable Reinforcement Learning for Microarchitecture Decision-Making.

Gerasimos Gerogiannis, Josep Torrellas

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Characterizing the Scalability of Graph Convolutional Networks on Intel^® PIUMA.

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

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

SPADE: A Flexible and Scalable Accelerator for SpMM and SDDMM.

Gerasimos Gerogiannis, Serif Yesil, Damitha Lenadora, Dingyuan Cao, Charith Mendis, Josep Torrellas

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

Deep Reinforcement Learning Acceleration for Real-Time Edge Computing Mixed Integer Programming Problems.

Gerasimos Gerogiannis, Michael K. Birbas, Aimilios Leftheriotis, Eleftherios Mylonas, Nikolaos Tzanis, Alexios N. Birbas

IEEE Access, 2022