Christos P. Lamprakos

Orcid: 0000-0002-3370-857X

According to our database1, Christos P. Lamprakos authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software.
Autom. Softw. Eng., November, 2024

2023
Bringing Energy Efficiency Closer to Application Developers: An Extensible Software Analysis Framework.
IEEE Trans. Sustain. Comput., 2023

Viewing Allocators as Bin Packing Solvers Demystifies Fragmentation.
CoRR, 2023

Reliable Basic Block Energy Accounting.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

Beyond RSS: Towards Intelligent Dynamic Memory Management (Work in Progress).
Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes, 2023

The Unexpected Efficiency of Bin Packing Algorithms for Dynamic Storage Allocation in the Wild: An Intellectual Abstract.
Proceedings of the 2023 ACM SIGPLAN International Symposium on Memory Management, 2023

Model-Free HVAC Optimizer based on Reinforcement Learning.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

2022
Translating quality-driven code change selection to an instance of multiple-criteria decision making.
Inf. Softw. Technol., 2022

The Impact of Dynamic Storage Allocation on CPython Execution Time, Memory Footprint and Energy Consumption: An Empirical Study.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2022

SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
The Known Unknowns: Discovering Trade-Offs Between Heterogeneous Code Changes - Invited Paper.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2021

2018
Towards plug&play smart thermostats inspired by reinforcement learning.
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018


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