Marco D'Amico

According to our database, Marco D'Amico authored at least 8 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2021

Energy models and application data for three Intel CPUs.

Marco D'Amico, Julita Corbalán

Dataset, March, 2021

Scheduling and resource management solutions for the scalable and efficient design of today's and tomorrow's HPC machines.

Marco D'Amico

PhD thesis, 2021

Energy hardware and workload aware job scheduling towards interconnected HPC environments.

Marco D'Amico, Julita Corbalán

CoRR, 2021

Modular Workload Format: Extending SWF for Modular Systems.

Julita Corbalán, Marco D'Amico

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2021

2019

Holistic Slowdown Driven Scheduling and Resource Management for Malleable Jobs.

Marco D'Amico, Ana Jokanovic, Julita Corbalán

Proceedings of the 48th International Conference on Parallel Processing, 2019

2018

Evaluating SLURM Simulator with Real-Machine SLURM and Vice Versa.

Ana Jokanovic, Marco D'Amico, Julita Corbalán

Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018

DROM: Enabling Efficient and Effortless Malleability for Resource Managers.

Marco D'Amico, Marta Garcia-Gasulla, Víctor López, Ana Jokanovic, Raül Sirvent, Julita Corbalán

Proceedings of the 47th International Conference on Parallel Processing, 2018

2017

DJSB: Dynamic Job Scheduling Benchmark.

Víctor López, Ana Jokanovic, Marco D'Amico, Marta Garcia, Raül Sirvent, Julita Corbalán

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2017