Florina M. Ciorba
University of Basel
123 Papers
323 Citations
Florina M. Ciorba is an academic researcher from University of Basel. The author has contributed to research in topics: Scheduling (computing) & Computer science. The author has an hindex of 12, co-authored 99 publications. Previous affiliations of Florina M. Ciorba include Mississippi State University & National Technical University of Athens.
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Papers
•Posted Content
SPH-EXA: Enhancing the Scalability of SPH codes Via an Exascale-Ready SPH Mini-App.
Danilo Guerrera,Aurélien Cavelan,Rubén M. Cabezón,David Imbert,Jean-Guillaume Piccinali,Ali Mohammed,Lucio Mayer,Darren S. Reed,Florina M. Ciorba +8 more
TL;DR: An extensive study of three SPH implementations SPHYNX, ChaNGa, and XXX is performed, to gain insights and to expose any limitations and characteristics of the codes.
•Posted Content
Performance Reproduction and Prediction of Selected Dynamic Loop Scheduling Experiments
TL;DR: In this paper, the performance of a selection of scheduling experiments from the 1992 original work that introduced factoring is reproduced and predicted via both, simulative and native experimentation, and the results confirm the hypothesis that reproducing experiments of identical scheduling scenarios on past and modern hardware leads to an entirely different behavior from expected.
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How Do OS and Application Schedulers Interact? An Investigation with Multithreaded Applications
J. Korndörfer,Ahmed Eleliemy,Osman Seckin Simsek,Thomas Ilsche,Robert Schöne,Florina M. Ciorba +5 more
TL;DR: This study investigates the interaction between Linux OS and OpenMP scheduling options in multithreaded applications on HPC systems, revealing that OS scheduling events can interfere with performance, and load balancing at both OS and application levels is advantageous for concurrent execution.
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DaphneSched: A Scheduler for Integrated Data Analysis Pipelines
Ahmed Eleliemy,Florina M. Ciorba +1 more
- 01 Jul 2023
TL;DR: This work introduces DaphneSched, the task-based scheduler at the core of DAPHNE, and demonstrates its effectiveness in scheduling IDA pipelines, evaluating its performance on two applications: a product recommendation system and training of a linear regression model.
Towards a Mini-App for Smoothed Particle Hydrodynamics at Exascale
Danilo Guerrera,Rubén M. Cabezón,Jean-Guillaume Piccinali,Aurélien Cavelan,Florina M. Ciorba,David Imbert,Lucio Mayer,Darren S. Reed +7 more
TL;DR: In this paper, the authors present insights into the current performance and functionalities of three smoothed particle hydrodynamics (SPH) codes: SPHYNX, ChaNGa, and SPH-flow.
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