Florina M. Ciorba

Orcid: 0000-0002-2773-4499

Affiliations:
  • University of Basel, Switzerland


According to our database1, Florina M. Ciorba authored at least 88 papers between 2003 and 2023.

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Bibliography

2023
Driving HPC Operations With Holistic Monitoring and Operational Data Analytics (Dagstuhl Seminar 23171).
Dagstuhl Reports, 2023

Accurate Measurement of Application-level Energy Consumption for Energy-Aware Large-Scale Simulations.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Cornerstone: Octree Construction Algorithms for Scalable Particle Simulations.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Hot-n-Cold: Mapping the Syscall Attack Surface Using Thermal Side Channels.
Proceedings of the 22nd International Symposium on Parallel and Distributed Computing, 2023

Investigating HPC Job Resource Requests and Job Efficiency Reporting.
Proceedings of the 22nd International Symposium on Parallel and Distributed Computing, 2023

DaphneSched: A Scheduler for Integrated Data Analysis Pipelines.
Proceedings of the 22nd International Symposium on Parallel and Distributed Computing, 2023

Automated Scheduling Algorithm Selection in OpenMP.
Proceedings of the 22nd International Symposium on Parallel and Distributed Computing, 2023


DAPHNE Runtime: Harnessing Parallelism for Integrated Data Analysis Pipelines.
Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

How Do OS and Application Schedulers Interact? An Investigation with Multithreaded Applications.
Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023


2022
Automated Scheduling Algorithm Selection and Chunk Parameter Calculation in OpenMP.
IEEE Trans. Parallel Distributed Syst., 2022

LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications.
IEEE Trans. Parallel Distributed Syst., 2022

Resiliency in numerical algorithm design for extreme scale simulations.
Int. J. High Perform. Comput. Appl., 2022

Early Application Experiences on a Modern GPU-Accelerated Arm-based HPC Platform.
CoRR, 2022

Challenges and Opportunities of Machine Learning for Monitoring and Operational Data Analytics in Quantitative Codesign of Supercomputers.
CoRR, 2022

Algorithmic and software development advances for next-generation heterogeneous platforms.
Concurr. Comput. Pract. Exp., 2022



First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
A distributed chunk calculation approach for self-scheduling of parallel applications on distributed-memory systems.
J. Comput. Sci., 2021

A Resourceful Coordination Approach for Multilevel Scheduling.
CoRR, 2021

A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks.
Proceedings of the Performance Evaluation and Benchmarking, 2021

An Execution Fingerprint Dictionary for HPC Application Recognition.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020
An approach for realistically simulating the performance of scientific applications on high performance computing systems.
Future Gener. Comput. Syst., 2020

Mapping Matters: Application Process Mapping on 3-D Processor Topologies.
CoRR, 2020

SimAS: A simulation-assisted approach for the scheduling algorithm selection under perturbations.
Concurr. Comput. Pract. Exp., 2020

Two-level Dynamic Load Balancing for High Performance Scientific Applications.
Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020

A Smoothed Particle Hydrodynamics Mini-App for Exascale.
Proceedings of the PASC '20: Platform for Advanced Scientific Computing Conference, Geneva, Switzerland, June 29, 2020

Message from the HCW Technical Program Committee Chair.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019
Combining Checkpointing and Replication for Reliable Execution of Linear Workflows with Fail-Stop and Silent Errors.
Int. J. Netw. Comput., 2019

Finding Neighbors in a Forest: A b-tree for Smoothed Particle Hydrodynamics Simulations.
CoRR, 2019

Online Research Report: rDLB: A Novel Approach for Robust Dynamic Load Balancing of Scientific Applications with Parallel Independent Tasks.
CoRR, 2019

SPH-EXA: Enhancing the Scalability of SPH codes Via an Exascale-Ready SPH Mini-App.
CoRR, 2019

Dynamic Loop Scheduling Using MPI Passive-Target Remote Memory Access.
Proceedings of the 27th Euromicro International Conference on Parallel, 2019

Toward a Standard Interface for User-Defined Scheduling in OpenMP.
Proceedings of the OpenMP: Conquering the Full Hardware Spectrum, 2019

Exploring Loop Scheduling Enhancements in OpenMP: An LLVM Case Study.
Proceedings of the 18th International Symposium on Parallel and Distributed Computing, 2019

Anomaly Detection in High Performance Computers: A Vicinity Perspective.
Proceedings of the 18th International Symposium on Parallel and Distributed Computing, 2019

Hierarchical Dynamic Loop Self-Scheduling on Distributed-Memory Systems Using an MPI+MPI Approach.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

rDLB: A Novel Approach for Robust Dynamic Load Balancing of Scientific Applications with Independent Tasks.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Algorithm-Based Fault Tolerance for Parallel Stencil Computations.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018
Efficient Generation of Parallel Spin-images Using Dynamic Loop Scheduling.
CoRR, 2018

The importance and need for system monitoring and analysis in HPC operations and research.
CoRR, 2018

OpenMP Loop Scheduling Revisited: Making a Case for More Schedules.
Proceedings of the Evolving OpenMP for Evolving Architectures, 2018

Experimental Verification and Analysis of Dynamic Loop Scheduling in Scientific Applications.
Proceedings of the 17th International Symposium on Parallel and Distributed Computing, 2018

Assessing Data Usefulness for Failure Analysis in Anonymized System Logs.
Proceedings of the 17th International Symposium on Parallel and Distributed Computing, 2018

Combining Checkpointing and Replication for Reliable Execution of Linear Workflows.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Performance Reproduction and Prediction of Selected Dynamic Loop Scheduling Experiments.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

SiL: An Approach for Adjusting Applications to Heterogeneous Systems Under Perturbations.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

Towards a Mini-App for Smoothed Particle Hydrodynamics at Exascale.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017
Towards Adaptive Resilience in High Performance Computing.
CoRR, 2017

Anonymization of System Logs for Privacy and Storage Benefits.
CoRR, 2017

Towards the Reproducibility of Using DLS Techniques in Scientific Applications.
Proceedings of the 16th International Symposium on Parallel and Distributed Computing, 2017

Exploring the Relation between Two Levels of Scheduling Using a Novel Simulation Approach.
Proceedings of the 16th International Symposium on Parallel and Distributed Computing, 2017

An Autonomic Approach for the Selection of Robust Dynamic Loop Scheduling Techniques.
Proceedings of the 16th International Symposium on Parallel and Distributed Computing, 2017

Examining the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Towards the Reproduction of Selected Dynamic Loop Scheduling Experiments Using SimGrid-SimDag.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

2016
Simulation models verification for resilient communication on a highly adaptive energy-efficient computer.
Proceedings of the 24th High Performance Computing Symposium, 2016

Lessons Learned from Spatial and Temporal Correlation of Node Failures in High Performance Computers.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

2015
HAEC-SIM: a simulation framework for highly adaptive energy-efficient computing platforms.
Proceedings of the 8th International Conference on Simulation Tools and Techniques, 2015

Investigating the Resilience of Dynamic Loop Scheduling in Heterogeneous Computing Systems.
Proceedings of the 14th International Symposium on Parallel and Distributed Computing, 2015

2014
Robustness Prediction and Evaluation of Divisible Load Scheduling on Computing Systems with Unpredictable Variations.
Proceedings of the IEEE 13th International Symposium on Parallel and Distributed Computing, 2014

Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Scalability Analysis and Evaluation of Divisible Load Scheduling.
Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

Modeling communication delays for network coding and routing for error-prone transmission.
Proceedings of the Third International Conference on Future Generation Communication Technologies (FGCT 2014), 2014

Analysis of Parallel Applications on a High Performance-Low Energy Computer.
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2013
Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network.
Proceedings of the IEEE 12th International Symposium on Parallel and Distributed Computing, 2013

Analyzing the Robustness of Scheduling Algorithms Using Divisible Load Theory on Heterogeneous Systems.
Proceedings of the IEEE 12th International Symposium on Parallel and Distributed Computing, 2013

Evaluating the Flexibility of Dynamic Loop Scheduling on Heterogeneous Systems in the Presence of Fluctuating Load Using SimGrid.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Scheduling Data Parallel Workloads - A Comparative Study of Two Common Algorithmic Approaches.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

2012
Towards the optimal synchronization granularity for dynamic scheduling of pipelined computations on heterogeneous computing systems.
Concurr. Comput. Pract. Exp., 2012

Analyzing the Robustness of Dynamic Loop Scheduling for Heterogeneous Computing Systems.
Proceedings of the 11th International Symposium on Parallel and Distributed Computing, 2012

A Combined Dual-stage Framework for Robust Scheduling of Scientific Applications in Heterogeneous Environments with Uncertain Availability.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Towards the Scalability of Dynamic Loop Scheduling Techniques via Discrete Event Simulation.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011
Distributed dynamic load balancing for pipelined computations on heterogeneous systems.
Parallel Comput., 2011

Enhancing the Functionality of a GridSim-Based Scheduler for Effective Use with Large-Scale Scientific Applications.
Proceedings of the 10th International Symposium on Parallel and Distributed Computing, 2011

2010
Parallelizing discrete dislocation dynamics simulations on multi-core systems.
Proceedings of the International Conference on Computational Science, 2010

Studying the impact of synchronization frequency on scheduling tasks with dependencies in heterogeneous systems.
Perform. Evaluation, 2010

Investigating the robustness of adaptive Dynamic Loop Scheduling on heterogeneous computing systems.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

2009
Towards the Robustness of Dynamic Loop Scheduling on Large-Scale Heterogeneous Distributed Systems.
Proceedings of the Eighth International Symposium on Parallel and Distributed Computing, 2009

2008
Cronus: A platform for parallel code generation based on computational geometry methods.
J. Syst. Softw., 2008

Enhancing self-scheduling algorithms via synchronization and weighting.
J. Parallel Distributed Comput., 2008

2007
Optimal synchronization frequency for dynamic pipelined computations on heterogeneous systems.
Proceedings of the 2007 IEEE International Conference on Cluster Computing, 2007

2006
Dynamic multi phase scheduling for heterogeneous clusters.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

Self-Adapting Scheduling for Tasks with Dependencies in Stochastic Environments.
Proceedings of the 2006 IEEE International Conference on Cluster Computing, 2006

2005
Reducing the Communication Cost via Chain Pattern Scheduling.
Proceedings of the Fourth IEEE International Symposium on Network Computing and Applications (NCA 2005), 2005

2003
Scheduling Nested Loops with the Least Number of Processors.
Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003


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