Florina M. Ciorba

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Assistant Professor for High Performance Computing

University of Basel

Switzerland

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About

Florina M. Ciorba is an Assistant Professor for High Performance Computing at the University of Basel, Switzerland. Her research areas focus on high performance computing, algorithmic and software development for heterogeneous platforms, and the application of natural language processing in healthcare contexts. Recent articles include studies on OpenMP scheduling algorithms, load balancing libraries for multithreaded applications, and interventions for genetic testing communication in families with hereditary conditions.

Recent Grants

Grant: Close

The DIALOGUE Study: Using digital health to improve care for families with predisposition to hereditary cancer

Open Date: 2020-03-01

Close Date: 2024-02-29

Grant: Close

Multilevel Scheduling in Large Scale High Performance Computers

Open Date: 2017-09-01

Close Date: 2020-08-31

Articles (10)

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2025

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (15)

Carla Pedrazzani

Senior lecturer and researcher - Head of the Bachelor programme in Nursing

University of Applied Sciences of Southern Switzerland

SWITZERLAND

Florina M. Ciorba

Research Interests

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Contact this professor

About

Recent Grants

Articles (10)

A Comparative Study of OpenMP Scheduling Algorithm Selection Strategies

Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis

Resiliency in numerical algorithm design for extreme scale simulations

Automated Scheduling Algorithm Selection and Chunk Parameter Calculation in OpenMP

Algorithmic and software development advances for next‐generation heterogeneous platforms

LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications

Using a Tailored Digital Health Intervention for Family Communication and Cascade Genetic Testing in Swiss and Korean Families With Hereditary Breast and Ovarian Cancer: Protocol for the DIALOGUE Study

A distributed chunk calculation approach for self-scheduling of parallel applications on distributed-memory systems

SimAS: A simulation‐assisted approach for the scheduling algorithm selection under perturbations

An approach for realistically simulating the performance of scientific applications on high performance computing systems

Collaborators (15)

Carla Pedrazzani

Hartwig Anzt

Sue Kim

Sharlene Hesse-Biber

Maria C. Katapodi

Wilfried Gansterer

Simon Wieser

Chang Ming

Maria Caiata-Zufferey

Luca Bonaventura

Roman Wyrzykowski

Gerhard Lauer

Dominik Thoennes

Martin Schulz

Viola Heinzelmann-Schwarz

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