Gerasimos Gerogiannis

Orcid: 0000-0002-7946-2683

According to our database1, Gerasimos Gerogiannis authored at least 16 papers between 2022 and 2026.

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Bibliography

2026
GRANII: Selection and Ordering of Primitives in GRAph Neural Networks using Input Inspection.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2026

2025
DECA: A Near-Core LLM Decompression Accelerator Supporting Out-of-Order Invocation.
CoRR, May, 2025

NetSparse: In-Network Acceleration of Distributed Sparse Kernels.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline Model.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

Micro-MAMA: Multi-Agent Reinforcement Learning for Multicore Prefetching.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

MeshSlice: Efficient 2D Tensor Parallelism for Distributed DNN Training.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Practical Online Reinforcement Learning for Microprocessors With Micro-Armed Bandit.
IEEE Micro, 2024

Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication.
Proceedings of the International Conference for High Performance Computing, 2024

HotTiles: Accelerating SpMM with Heterogeneous Accelerator Architectures.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM.
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.
CoRR, 2023

Micro-Armed Bandit: Lightweight & Reusable Reinforcement Learning for Microarchitecture Decision-Making.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Characterizing the Scalability of Graph Convolutional Networks on Intel<sup>®</sup> PIUMA.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

SPADE: A Flexible and Scalable Accelerator for SpMM and SDDMM.
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.
IEEE Access, 2022


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