JOURNAL PUBLICATIONS

Journal articles

2023

J19. Vasiliki Baroutsou, Vu Duong, Alice Signorini, Ramon Saccilotto, Florina M. Ciorba, Nicole Bürki, Maria Caiata-Zufferey, Jai Min Ryu, Sung-Won Kim, Myong Cheol Lim, Christian Monnerat, Ursina Zürrer-Härdi, Jisun Kim, Karl Heinimann, Rossella Graffeo, Ji Soo Park, Manuela Rabaglio, Pierre Olivier Chappuis, Sue Kim, Maria C. Katapodi and on behalf of the CASCADE and K-CASCADE Consortia, “Acceptability and Usability of the Family Gene Toolkit for Swiss and Korean Families Harboring BRCA1/BRAC2 Pathogenic Variants: A Web-Based Platform for Cascade Genetic Testing”, Cancers 2023, 15(18), 4485; DOI: 10.3390/cancers15184485 (Open Access) [J19.bib]
 
J18. V. Baroutsou, R. C. Gonzalez Pena, R. Schweighoffer, M. Caiata-Zufferey, S. Kim; S. Hesse-Biber, F. M Ciorba, G. Lauer, M. Katapodi, CASCADE Consortium. “Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis”. JMIR Formative Research, vol. 7, e38399, January 2023. https://formative.jmir.org/2023/1/e38399 (Open Access) [J18.bib]

2022

J17. A. Mohammed, J. H. Müller Korndörfer, A. Eleliemy, F. M. Ciorba. “Automated Scheduling Algorithm Selection and Chunk Parameter Calculation in OpenMP”. IEEE Transactions on Parallel and Distributed Systems (TPDS), Tier A*, December 2022. https://ieeexplore.ieee.org/document/9825675 (Open Access) [J17.bib]
Video presenting Auto4OMP: OpenMP SC22 Booth Talk, slides. 

J16. E. Agullo, M. Altenbernd, H. Anzt, L. Bautista-Gomez, T. Benacchio, L. Bonaventura, H.-J. Bungartz, S. Chatterjee, F. M. Ciorba, N. DeBardeleben, D. Drzisga, S. Eibl, C. Engelmann, W. N. Gansterer, L. Giraud, D. Göddeke, M. Heisig, F. Jézéquel, N. Kohl, X. S. Li, R. Lion, M. Mehl, P. Mycek, M. Obersteiner, E. S. Quintana-Ortí, F. Rizzi, U. Rüde, M. Schulz, F. Fung, R. Speck, L. Stals, K. Teranishi, S. Thibault, D. Thönnes, A. Wagner, and B. Wohlmuth, “Resiliency in numerical algorithm design for extreme scale simulations”, International Journal of High Performance Computing Applications, 36(2):251–285, ISSN 1094-3420. https://doi.org/10.1177/10943420211055188, March 2022. [J16.bib]

2021

J15. S. Kim, M. Aceti, V. Baroutsou, N. Bürki, M. Caiata-Zufferey, M. Cattaneo, P. O. Chappuis, F. M. Ciorba, R. Graffeo-Galbiati, V. Heinzelmann-Schwarz, J. Jeong, M. M. Jung , S.-W. Kim, J. Kim, M. C. Lim, C. Ming, C. Monnerat, H..S. Park, S..H. Park, C. A. Pedrazzani, M. Rabaglio, J. M. Ryu, R. Saccilotto, S. Wieser, U. Zürrer-Härdi, M. C. Katapodi, “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”, In JMIR Res Protoc 2021; 10 (6): e26264, June 2021. www.researchprotocols.org/2021/6/e26264  (Free PMC article) [J15.txt]

J14. J. H. Müller Korndörfer, A. Eleliemy, A. Mohammed, F. M. Ciorba. “LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications”. IEEE Transactions on Parallel and Distributed Systems (TPDS), Tier A*, August 2021. https://10.1109/TPDS.2021.3107775 (Open Access) [J14.bib]
Videos presenting LB4OMP (OpenMP SC20 Booth Talk,  OpenMP’20 Users Developer Conference video)

J13. A. Eleliemy and F. M. Ciorba, “A Distributed Chunk Calculation Approach for Self-scheduling of Parallel Applications on Distributed-memory Systems”, In International Journal of Computational Science (JOCS), April 2021. https://doi.org/10.1016/j.jocs. 2020.101284 (Open Access) [J13.bib]

2020

J12. A. Mohammed and F. M. Ciorba, “SimAS: A simulation-assisted approach for the scheduling algorithm selection under perturbations”, In Concurrency and Computation: Practice and Experience (CPE), Tier A, January 2020. https://onlinelibrary.wiley.com /doi/full/10.1002/cpe.5648 (Open Access) [J12.bib]

J11. A. Mohammed, A. Eleliemy, F. M. Ciorba, F. Kasielke, I. Banicescu, “An Approach for Realistically Simulating the Performance of Scientific Applications on High Performance Computing Systems”, in Future Generation Computer Systems (FGCS), Tier A, April 2020. https://doi.org/10.1016/j.future.2019.10.007 (Open Access) [J11.bib]

2019

J10. A. Benoit, A. Cavelan, F. M. Ciorba, V. Le Fèvre, and Y. Robert, “Combining Checkpointing and Replication for Reliable Execution of Linear Workflows with Fail-Stop and Silent Errors”, In International Journal of Networking and Computing (IJNC ), Special Issue on Workshop on Advances in Parallel and Distributed Computational Models (APDCM 2018) (online), 9 (1), pp. 2-27, January 2019, ISSN 2185-2847. [J10.bib]

2015

J9. M. Bielert, F. M. Ciorba, K. Feldhoff, T. Ilsche, and WE Nagel “HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms”, In EAI Endorsed Transactions on Energy Web (EW) (online), 3 (8), August 2015. [J9.bib]

2014

J8. N. Sukhija, B. Malone, S. Srivastava, I. Banicescu, and F. M. Ciorba, “A learning-based selection for portfolio scheduling of scientific applications on heterogeneous computing systems”, In Parallel and Cloud Computing (online), 3 (4), pp. 66-81, October 2014. [J8.bib]

2012

J7. I. Riakiotakis, F. M. Ciorba, T. Andronikos, AT Chronopoulos, and G. Papakonstantinou, “Towards the optimal synchronization granularity for dynamic scheduling of pipelined computations on heterogeneous computing systems”, In Concurrency and Computation: Practice and Experience (online), 24 (18), pp. 2302-2327, December 2012, Tier A, John Wiley & Sons, Inc., ISSN 15320634. [J7.bib]

2011

J6. I. Riakiotakis, F. M. Ciorba, T. Andronikos, and G. Papakonstantinou, “Distributed dynamic load balancing for pipelined computations on heterogeneous systems”, In Journal of Parallel Computing, special issue: Advances in Scheduling (online), 37 (10-11), pp. 713– 729, October-November 2011, Tier A, Elsevier BV, ISSN 01678191. [J6.bib]

2010

J5. T. Andronikos, F. M. Ciorba, I. Riakiotakis, AT Chronopoulos, and G. Papakonstantinou, “Studying the impact of synchronization frequency on scheduling tasks with dependencies in heterogeneous systems”, In Journal of Performance Evaluation (online), 67 (12), pp. 1324-1339, December 2010, Tier A, Elsevier BV, ISSN 01665316. [J5.bib]

2008

J4. T. Andronikos, F. M. Ciorba, P. Theodoropoulos, D. Kamenopoulos, and G. Papakonstantinou, “Cronus: A platform for parallel code generation based on computational geometry methods”, In Journal of Systems and Software (online), 81 (8), pp. 1389-1405, August 2008, Elsevier BV, ISSN 01641212. [J4.bib]

J3. F. M. Ciorba, I. Riakiotakis, T. Andronikos, G. Papakonstantinou, and AT Chronopoulos, “Enhancing self-scheduling algorithms via synchronization and weighting”, in Journal of Parallel and Distributed Computing (online), 68 (2), pp. 246 –264, February 2008, Tier A, Elsevier BV, ISSN 07437315. [J3.bib]

2006

J2. G. Papakonstantinou, I. Riakiotakis, T. Andronikos, F. M. Ciorba, and AT Chronopoulos, “Dynamic Scheduling for Dependence Loops on Heterogeneous Clusters”, In Journal of Neural, Parallel, and Scientific Computing (online), 14 (4), pp 359-384, 2006, Dynamic Publishers, Inc., ISSN 10615369. [J2.bib]

J1. F. M. Ciorba, T. Andronikos, and G. Papakonstantinou, “Adaptive Cyclic Scheduling of Nested Loops”, In HERMIS International Journal (online), 8, pp. 69-76, October 2006. [J1.bib]

Journal articles under peer review

JUR1. N/A

Journal articles under submission

JUS1. A. Eleliemy, F. M. Ciorba, T. Hansen, S. Srivastava, I. Banicescu, A. A. Maciejewski, and H. J. Siegel, “A dual-stage robustness approach for robust allocation and scheduling of parallel applications with uncertain execution times in heterogeneous computing systems with uncertain availability”, in IEEE Transactions on Parallel and Distributed System, Tier A*, Under submission.

JUS2. M. Balasubramaniam, I. Banicescu, and F. M. Ciorba, “A dynamic load balancing and data migration library for performance improvement of scientific applications on parallel and distributed computing systems”, in IEEE Transactions on Parallel and Distributed Systems, Tier A*, Under submission.

JUS3. I. Banicescu, S. Srivastava, and F. M. Ciorba, “A dynamic load balancing and data migration library for performance improvement of scientific applications on parallel and distributed computing systems”, in Elsevier Performance Evaluation, Tier A, Under submission.