Publications
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Guilloteau,Quentin, Poquet,Millian, Korndöfer,Jonas H., & Community Workshop on Practical Reproducibility in HPC. https://reproduciblehpc.org/
(2024, December 18). Artifact Evaluations as Authors and Reviewers : Lessons, Questions, and Frustrations. In Quentin Guilloteau, Dataset for the Paper “Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023” (Quentin Guilloteau, Ed.) [Data set]. https://doi.org/10.5281/zenodo.10640565
, Millian Poquet, Dorian, & Olivier Richard. (2024). Guilloteau, Quentin, & Swiss Reproducibility Conference. https://hal.science/hal-04601351
(2024, January 1). Reproducibility in Parallel and Distributed Computing: Challenges, State of the Practice, Limitations, and Opportunities. In Guilloteau, Quentin, Acm Rep 2024, Online ahead of print. https://hal.science/hal-04562691
, Poquet, Millian, Goepp, Dorian, & Richard, Olivier. (2024). Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023. Guilloteau,Quentin, Muller Korndorfer,Jonas Henrique, & COMPAS 2024 - Conférence Francophone d’Informatique En Parallélisme, Architecture et Système.
(2024, January 1). Seamlessly Scaling Applications with DAPHNE. Müller Korndörfer, Jonas H., Mohammed, Ali, Eleliemy, Ahmed, Guilloteau, Quentin, & Toward Smart Scheduling in OpenMP [Presentation video recording]. https://www.openmp.org/events/sc24/#booth-talks
(2024, January 1). Vontzalidis, Aristotelis, Psomadakis, Stratos, Bitsakos, Constantinos, Dokter, Mark, Innerebner, Kevin, Damme, Patrick, Boehm, Matthias, DAPHNE Runtime: Harnessing Parallelism for Integrated Data Analysis Pipelines. 14352 LNCS, 242–246. https://doi.org/10.1007/978-3-031-48803-0_25
, Eleliemy, Ahmed, Karakostas, Vasileios, Zamuda, Aleš, & Tsoumakos, Dimitrios. (2024). Boito, Francieli, Brandt, Jim, Cardellini, Valeria, Carns, Philip, IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops). https://doi.org/10.1109/clusterworkshops61457.2023.00016
, Egan, Hilary, Eleliemy, Ahmed, Gentile, Ann, Gruber, Thomas, Hanson, Jeff, Haus, Utz-Uwe, Huck, Kevin, Ilsche, Thomas, Jakobsche, Thomas, Jones, Terry, Karlsson, Sven, Mueen, Abdullah, Ott, Michael, Patki, Tapasya, et al. (2023, October 31). Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. Jakobsche, Thomas, Lachiche, Nicolas, & International Symposium on Parallel and Distributed Computing (ISPDC). https://doi.org/10.1109/ispdc59212.2023.00024
(2023, July 1). Investigating HPC Job Resource Requests and Job Efficiency Reporting. Vasilas, Teodora, Jakobsche, Thomas, & International Symposium on Parallel and Distributed Computing (ISPDC). https://doi.org/10.1109/ispdc59212.2023.00022
(2023, July 1). Hot-n-Cold: Mapping the Syscall Attack Surface Using Thermal Side Channels. Keller, S., Cavelan, A., Cabezon, R., Mayer, L., & Ciorba, F. (2023, June 26). Cornerstone: Octree Construction Algorithms for Scalable Particle Simulations. https://doi.org/10.1145/3592979.3593417
Baroutsou, Vasiliki, Duong, Vu, Signorini, Alice, Saccilotto, Ramon, Cancers, 15. https://doi.org/10.3390/cancers15184485
, Bürki, Nicole, Caiata-Zufferey, Maria, Ryu, Jai Min, Kim, Sung-Won, Lim, Myong Cheol, Monnerat, Christian, Zürrer-Härdi, Ursina, Kim, Jisun, Heinimann, Karl, Graffeo, Rossella, Park, Ji Soo, Rabaglio, Manuela, Chappuis, Pierre Olivier, Kim, Sue, & Katapodi, Maria C. (2023). 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. Baroutsou, Vasiliki, Pena, Rodrigo Cerqueira Gonzalez, Schweighoffer, Reka, Caiata-Zufferey, Maria, Kim, Sue, Hesse-Biber, Sharlene, JMIR Formative Research, 7. https://doi.org/10.2196/38399
, Lauer, Gerhard, Katapodi, Maria, Aceti, Monica, Aissaoui, Souria, Bürki, Nicole, Chappuis, Pierre O., Fluri, Muriel, Graffeo-Galbiati, Rossella, Heinimann, Karl, Heinzelmann-Schwarz, Viola, Koechlin, Helen, Kurzeder, Christian, et al. (2023). Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis. Automated Scheduling Algorithm Selection in OpenMP. 106–109. https://doi.org/10.1109/ispdc59212.2023.00025
, Mohammed, Ali, Korndorfer, Jonas H. Muller, & Eleliemy, Ahmed. (2023). Eleliemy, A., & Ciorba, F. M. (2023). DaphneSched: A Scheduler for Integrated Data Analysis Pipelines. 53–60. https://doi.org/10.1109/ispdc59212.2023.00013
Elwasif, W., Godoy, W., Hagerty, N., Harris, J. A., Hernandez, O., Joo, B., Kent, P., Lebrun-Grandié, D., Maccarthy, E., Melesse Vergara, V., Messer, B., Miller, R., Oral, S., Bastrakov, S., Bussmann, M., Debus, A., Steiniger, K., Stephan, J., Widera, R., et al. (2023). Application Experiences on a GPU-Accelerated Arm-based HPC Testbed. HPCAsia2023 Workshop: International Conference on High Performance Computing in Asia-Pacific Region Workshops , 35–49. https://doi.org/10.1145/3581576.3581621
Korndörfer, J. H. M., Eleliemy, A., Simsek, O. S., Ilsche, T., Schöne, R., & Ciorba, F. M. (2023). How Do OS and Application Schedulers Interact? An Investigation with Multithreaded Applications. 14100 LNCS, 214–228. https://doi.org/10.1007/978-3-031-39698-4_15
Simsek, O. S., Piccinali, J.-G., & Ciorba, F. M. (2023). Accurate Measurement of Application-level Energy Consumption for Energy-Aware Large-Scale Simulations. SC-W 2023: Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, 1881–1884. https://doi.org/10.1145/3624062.3624272
Wyrzykowski, R., & Ciorba, F. M. (2022). Algorithmic and software development advances for next-generation heterogeneous platforms. Concurrency and Computation: Practice and Experience, 34(14). https://doi.org/10.1002/cpe.7013
Baroutsou, V., Cerqueira Gonzalez Pena, R., Schweighoffer, R., Caiata-Zufferey, M., Kim, S., Hesse-Biber, S., Ciorba, F. M., Lauer, G., & Katapodi, M. (2022). Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis (Preprint) [Posted-content]. JMIR Publications Inc. https://doi.org/10.2196/preprints.38399
Agullo, E., Altenbernd, M., Anzt, H., Bautista-Gomez, L., Benacchio, T., Bonaventura, L., Bungartz, H.-J., Chatterjee, S., Ciorba, F. M., DeBardeleben, N., Drzisga, D., Eibl, S., Engelmann, C., Gansterer, W. N., Giraud, L., Göddeke, D., Heisig, M., Jézéquel, F., Kohl, N., et al. (2022). Resiliency in numerical algorithm design for extreme scale simulations. International Journal of High Performance Computing Applications, 36(2), 251–285. https://doi.org/10.1177/10943420211055188
Brunst, Holger, Chandrasekaran, Sunita, First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites. 675–684. https://doi.org/10.1109/ccgrid54584.2022.00077
, Hagerty, Nick, Henschel, Robert, Juckeland, Guido, Li, Junjie, Vergara, Veronica G. Melesse, Wienke, Sandra, & Zavala, Miguel. (2022). Proceedings - 2022 21st International Symposium on Parallel and Distributed Computing, ISPDC 2022, VIII–VIIX. https://doi.org/10.1109/ispdc55340.2022.00005
, Pop, Florin, & Goumas, Giorgos. (2022). Message from the General and Program Chairs. Damme, Patrick, Birkenbach, Marius, Bitsakos, Constantinos, Boehm, Matthias, Bonnet, Philippe, DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines.
, Dokter, Mark, Dowgiallo, Pawel, Eleliemy, Ahmed, Faerber, Christian, Goumas, Georgios, Habich, Dirk, Hedam, Niclas, Hofer, Marlies, Huang, Wenjun, Innerebner, Kevin, Karakostas, Vasileios, Kern, Roman, Kosar, Tomaž, et al. (2022, January 1). Dubey, Anshu, & ACM International Conference Proceeding Series, v–vi.
(2022). Message from the ICPP′22 Program Chairs. Ihde, N., Marten, P., Eleliemy, A., Poerwawinata, G., Silva, P., Tolovski, I., Ciorba, F. M., & Rabl, T. (2022). A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks. 13169 LNCS, 98–118. https://doi.org/10.1007/978-3-030-94437-7_7
Jakobsche, Thomas, Lachiche, Nicolas, & Challenges and Opportunities of Machine Learning for Monitoring and Operational Data Analytics in Quantitative Codesign of Supercomputers. Second International Symposium on Quantitative Codesign of Supercomputers of the International Conference for High Performance Computing, Networking, Storage and Analysis 2022.
(2022, January 1). Li, Junjie, Bobyr, Alexander, Boehm, Swen, Brantley, William, Brunst, Holger, Cavelan, Aurelien, Chandrasekaran, Sunita, Cheng, Jimmy, SPEChpc 2021 Benchmark Suites for Modern HPC Systems. 15–16. https://doi.org/10.1145/3491204.3527498
, Colgrove, Mathew, Curtis, Tony, Daley, Christopher, Ferrato, Mauricio, De Souza, Mayara Gimenes, Hagerty, Nick, Henschel, Robert, Juckeland, Guido, Kelling, Jeffrey, Li, Kelvin, et al. (2022). Mohammed, Ali, Müller Korndörfer, Jonas H., Eleliemy, Ahmed, & IEEE Transactions on Parallel and Distributed Systems (TPDS), 33(12), 4383–4394. https://doi.org/10.1109/tpds.2022.3189270
. (2022). Automated Scheduling Algorithm Selection and Chunk Parameter Calculation in OpenMP. Ciorba, F. M. (2021). Committees. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021 - in Conjunction with IEEE IPDPS 2021. https://doi.org/10.1109/ipdpsw52791.2021.00007
Ciorba, F. M. (2021). Message from the HCW General Chair. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021 - in Conjunction with IEEE IPDPS 2021. https://doi.org/10.1109/ipdpsw52791.2021.00002
Eleliemy, Ahmed, & Journal of Computational Science, 51, 101284. https://doi.org/10.1016/j.jocs.2020.101284
(2021). A distributed chunk calculation approach for self-scheduling of parallel applications on distributed-memory systems. Ihde, N., Marten, P., Eleliemy, A., Poerwawinata, G., Silva, P., Tolovski, I., A Survey of Big Data, HPC and Machine Learning Benchmarks. https://hpi.de/fileadmin/user_upload/fachgebiete/rabl/publications/2021/A_Survey_of_Big_Data_High_Performance_Computing_and_Machine_Learning_Benchmarks.pdf
, & Rabl, T. (2021, January 1). Jakobsche, Thomas, Lachiche, Nicolas, Cavelan, Aurélien, & IEEE International Conference on Cluster Computing. https://doi.org/10.1109/cluster48925.2021.00092
(2021, January 1). An Execution Fingerprint Dictionary for HPC Application Recognition. Kim, Sue, Aceti, Monica, Baroutsou, Vasiliki, Bürki, Nicole, Caiata-Zufferey, Maria, Cattaneo, Marco, Chappuis, Pierre O., JMIR Research Protocols, 10(6). https://doi.org/10.2196/26264
, Graffeo-Galbiati, Rossella, Heinzelmann-Schwarz, Viola, Jeong, Joon, Jung, MiSook M., Kim, Sung-Won, Kim, Jisun, Lim, Myong Cheol, Ming, Chang, Monnerat, Christian, Park, Hyung Seok, Park, Sang Hyung, et al. (2021). 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. Müller Korndörfer, Jonas H., Bielert, Mario, L. Pilla, Laércio, & Mapping Matters: Application Process Mapping on 3-D Processor Topologies.
. (2021, January 1). Müller Korndörfer, Jonas H., Eleliemy, Ahmed, Mohammed, Ali, & IEEE Transactions on Parallel and Distributed Systems, 12. https://doi.org/10.1109/tpds.2021.3107775
. (2021). LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications. Kim, S., Aceti, M., Baroutsou, V., Bürki, N., Caiata-Zufferey, M., Cattaneo, M., Chappuis, P. O., Ciorba, F. M., Graffeo-Galbiati, R., Heinzelmann-Schwarz, V., Jeong, J., Jung, M. M., Kim, S.-W., Kim, J., Lim, M. C., Ming, C., Monnerat, C., Park, H. S., Park, S. H., et al. (2020, December 4). 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 (Preprint) [Posted-content]. JMIR Publications Inc. https://doi.org/10.2196/preprints.26264
Ciorba, F. M. (2020). Message from the HCW Technical Program Committee Chair. Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020. https://doi.org/10.1109/ipdpsw50202.2020.00010
Cavelan, Aurélien, Cabezón, Rubén M., Grabarczyk, Michal, & A Smoothed Particle Hydrodynamics Mini-App for Exascale. https://doi.org/10.1145/3394277.3401855
(2020, January 1). Cavelan, Aurélien, Cabezón, Rubén M., Grabarczyk, Michal, & A Smoothed Particle Hydrodynamics Mini-App for Exascale. https://doi.org/10.1145/3394277.3401855
(2020, January 1). Mohammed, Ali, Cavelan, Aurélien, Two-level Dynamic Load Balancing for High Performance Scientific Applications (Biros, George; Meier Yang, Ulrike, Ed.). SIAM. https://doi.org/10.1137/1.9781611976137.7
, Cabezon, Ruben, & Banicescu, Ioana. (2020). Mohammed, Ali, & Concurrency and Computation: Practice and Experience, 32(15), e5648. https://doi.org/10.1002/cpe.5648
(2020). SimAS: A Simulation-Assisted Approach for the Algorithm Selection Problem of Scheduling under Perturbations. Mohammed, Ali, Eleliemy, Ahmed, Future Generation Computer Systems, 111, 617–633. https://doi.org/10.1016/j.future.2019.10.007
, Kasielke, Franziska, & Banicescu, Ioana. (2020). An approach for Realistically Simulating the Performance of Scientific Applications on High Performance Computing Systems. Benoit, Anne, Cavelan, Aurélien, International Journal of Networking and Computing, 9(1), 2–27. https://doi.org/10.15803/ijnc.9.1_2
, Le Fèvre, Valentin, & Robert, Yves. (2019). Combining Checkpointing and Replication for Reliable Execution of Linear Workflows with Fail-Stop and Silent Errors. Cavelan, Aurélien, Cabezón, Rubén M., & Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations. https://doi.org/10.1109/ccgrid.2019.00013
(2019, January 1). Cavelan, Aurélien, Cabezón, Rubén M., Korndörfer, Jonas H. Müller, & Finding Neighbors in a Forest: A b-tree for Smoothed Particle Hydrodynamics Simulations. https://arxiv.org/abs/1910.02639
(2019, January 1). Cavelan, Aurélien, & Algorithm-Based Fault Tolerance for Parallel Stencil Computations. https://doi.org/10.1109/cluster.2019.8891034
(2019, January 1). Project Poster at the 34th International Conference on High Performance Computing (ISC). https://ssl.linklings.net/conferences/isc_hpc/assets/2019/posters/proj122.pdf
, Eleliemy, Ahmed, & Müller Korndörfer, Jonas H. (2019, January 1). MLS: Multilevel Scheduling in Large Scale High Performance [The International Conference on High Performance Computing (ISC)]. Project Poster at the 34th International Conference on High Performance Computing (ISC). https://ssl.linklings.net/conferences/isc_hpc/assets/2019/posters/proj135.pdf
, Mayer, Lucio, Cabezón, Rubén M., Imbert, David, Guerrera, Danilo, Cavelan, Aurélien, Mohammed, Ali, Reed, Darren S., Piccinali, Jean-Guillaume, Banicescu, Ioana, Garciá-Senz, Domingo, & Quinn, Thomas R. (2019, January 1). SPH-EXA: Optimizing Smoothed Particle Hydrodynamics for Exascale Computing [The International Conference on High Performance Computing (ISC)]. Data Analysis for Improving High-Performance Computing Operations and Research. An Eucor Seed Money Project (Janczyk, Michael; von Suchodoletz, Dirk; Wiebelt, Bernd, Ed.). Tübingen Library Publishing. https://doi.org/10.15496/publikation-29062
, Schneider, Gerhard, von Suchodoletz, Dirk, Cavelan, Aurélien, Sengstag, Thierry, Gless, Sabine, Lachiche, Nicolas, & Samet, Ahmed. (2019). Eleliemy, Ahmed, & Dynamic Loop Scheduling Using MPI Passive-Target Remote Memory Access. https://doi.org/10.1109/empdp.2019.8671619
(2019, January 1). Eleliemy, Ahmed, & Hierarchical Dynamic Loop Self-Scheduling on Distributed-Memory Systems Using an MPI+MPI Approach. https://doi.org/10.1109/ipdpsw.2019.00117
(2019, January 1). Eleliemy, Ahmed, & PhD Forum Poster at the 34th International Conference on High Performance Computing (ISC). https://2019.isc-program.com/presentation/?id=phd109&sess=sess211
(2019, January 1). Multilevel Scheduling of Computations in Large-scale Parallel Computers [Springer]. Ghiasvand, Siavash, & Anonymization of System Logs for Preserving Privacy and Reducing Storage (Arai, Kohei; Kapoor, Supriya; Bhatia, Rahul, Ed.; Vol. 2). Springer. https://doi.org/10.1007/978-3-030-03405-4_11
(2019). Ghiasvand, Siavash, & Anomaly Detection in High Performance Computers: A Vicinity Perspective. https://doi.org/10.1109/ispdc.2019.00024
(2019, January 1). Guerrera, Danilo, Cavelan, Aurélien, Cabezón, Rubén M., Imbert, David, Piccinali, Jean-Guillaume, Mohammed, Ali, Mayer, Lucio, Reed, Darren S., & SPH-EXA: Enhancing the Scalability of SPH codes Via an Exascale-Ready SPH Mini-App. https://arxiv.org/abs/1905.03344
(2019, January 1). Kale, Vivek, Iwainsky, Christian, Klemm, Michael, Müller Korndörfer, Jonas H., & Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-030-28596-8_13
(2019). Toward a Standard Interface for User-Defined Scheduling in OpenMP. In Fan, Xing; de Supinski, Bronis R.; Sinnen, Oliver; Giacaman, Nasser (Ed.), Kasielke, F., Tschüter, R., Velten, M., Exploring Loop Scheduling Enhancements in OpenMP: An LLVM Case Study. https://doi.org/10.1109/ispdc.2019.00026
, Iwainsky, C., & Banicescu, I. (2019, January 1). Mohammed, Ali, Cavelan, Aurelien, & RDLB: A Novel Approach for Robust Dynamic Load Balancing of Scientific Applications with Independent Tasks. 374–381. https://doi.org/10.1109/hpcs48598.2019.9188153
(2019). Mohammed, Ali, Cavelan, Aurélien, Poster at the 16th ACM/CSCS Platform for Advanced Scientific Computing (PASC) Conference. https://pasc19.pasc-conference.org/program/schedule/index.html%3Fpost_type=page&p=10&id=post117&sess=sess179.html
, Cabezón, Rubén M., & Banicescu, Ioana. (2019, January 1). Identifying Performance Challenges in Smoothed Particle Hydrodynamics Simulations. Mohammed, Ali, & PhD Forum Poster at the 34th International Conference on High Performance Computing (ISC). https://2019.isc-program.com/presentation/?id=phd107&sess=sess211
(2019, January 1). Design of Robust Scheduling Methodologies in High Performance Computing [Springer]. Mohammed, A., & Ciorba, F. M. (2019). SiL: An approach for adjusting applications to heterogeneous systems under perturbations. 11339 LNCS, 456–468. https://doi.org/10.1007/978-3-030-10549-5_36
Mohammed, Ali Omar Abdelazim, Cavelan, Aurélien, & rDLB: A Novel Approach for Robust Dynamic Load Balancing of Scientific Applications with Parallel Independent Tasks.
(2019, January 1). Müller Korndörfer, Jonas H., The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC19), 3. ACM.
, Yilmaz, Akan, Iwainsky, Christian, Doerfert, Johannes, Finkel, Hal, Kale, Vivek, & Klemm, Michael. (2019). A Runtime Approach for Dynamic Load Balancing of OpenMP Parallel Loops in LLVM. Benoit, Anne, Cavelan, Aurélien, Combining Checkpointing and Replication for Reliable Execution of Linear Workflows. https://doi.org/10.1109/ipdpsw.2018.00126
, Le Fèvre, Valentin, & Robert, Yves. (2018, January 1). Cavelan, Aurélien, Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations. https://sc18.supercomputing.org/proceedings/tech_poster/tech_poster_pages/post144.html
, & Cabezón, Ruben M. (2018, January 1). Lecture Notes in Computer Science book series (LNCS) (Vol. 11128). Springer International Publishing. https://doi.org/10.1007/978-3-319-98521-3
, Iwainsky, Christian, & Buder, Patrick. (2018). OpenMP Loop Scheduling Revisited: Making a Case for More Schedules. In de Supinski, Bronis R.; Valero-Lara, Pedro; Martorell, Xavier; Mateo, Sergi; Labarta, Jesus (Ed.), Openmp loop scheduling revisited: Making a case for more schedules. 11128 LNCS, 21–36. https://doi.org/10.1007/978-3-319-98521-3_2
, Iwainsky, Christian, & Buder, Patrick. (2018). Eleliemy, Ahmed, & Dynamic Loop Scheduling Using the MPI Passive-Target Remote Memory Access Model [The Platform for Advanced Scientific Computing (PASC) Conference]. https://pasc18.pasc-conference.org/typo3temp/pasc/conference-2/program/en/files/post153s2.pdf
(2018, January 1). Ghiasvand, Siavash, & Assessing Data Usefulness for Failure Analysis in Anonymized System Logs. https://doi.org/10.1109/ispdc2018.2018.00031
(2018, January 1). Guerrera, Danilo, Cabezón, Rubén, Piccinali, Jean-Guillaume, Cavelan, Aurélien, Towards a Mini-App for Smoothed Particle Hydrodynamics at Exascale. https://doi.org/10.1109/cluster.2018.00077
, Imbert, David, Mayer, Lucio, & Reed, Darren. (2018, January 1). Mohammed, Ali, & SiL: An Approach for Adjusting Applications to Heterogeneous Systems Under Perturbations. SiL: An Approach for Adjusting Applications to Heterogeneous Systems Under Perturbations
(2018, January 1). Mohammed, Ali, & A Study of the Performance of Scientific Applications with Dynamic Loop Scheduling under Perturbations [The Platform for Advanced Scientific Computing (PASC) Conference]. https://pasc18.pasc-conference.org/typo3temp/pasc/conference-2/program/en/files/post152s2.pdf
(2018, January 1). Mohammed, Ali, Eleliemy, Ahmed, & Performance Reproduction and Prediction of Selected Dynamic Loop Scheduling Experiments. https://doi.org/10.1109/hpcs.2018.00071
(2018, January 1). Mohammed, Ali, Eleliemy, Ahmed, Experimental Verification and Analysis of Dynamic Loop Scheduling in Scientific Applications. https://doi.org/10.1109/ispdc2018.2018.00028
, Kasielke, Franziska, & Banicescu, Ioana. (2018, January 1). Boulmier, Anthony, Banicescu, Ioana, An Autonomic Approach for the Selection of Robust Dynamic Loop Scheduling Techniques. https://doi.org/10.1109/ispdc.2017.9
, & Abdennadher, Nabil. (2017, January 1). The importance and need for system monitoring and analysis in HPC operations and research (Richling, Sabine; Baumann, Martin; Heuveline, Vincent, Ed.). heiBOOKS. https://doi.org/10.11588/heibooks.308.418
(2017). Eleliemy, Ahmed, Mohammed, Ali, & Exploring the Relation between Two Levels of scheduling Using a Novel Simulation Approach (Prodan, Radu; Pop, Florin; Mundani, Ralf-Peter, ed.). IEEE. https://doi.org/10.1109/ispdc.2017.23
(2017). Eleliemy, Ahmed, Mohammed, Ali, & Efficient Generation of Parallel Spin-images Using Dynamic Loop Scheduling. https://doi.org/10.1109/hpccws.2017.00012
(2017, January 1). Ghiasvand, Siavash, & Towards Adaptive Resilience in High Performance Computing (Grosspietsch, E.; Kloeckner, K., Ed.). SEA-Publications-Austria.
(2017). Ghiasvand, Siavash, & Event Pattern Identification in Anonymized System Logs. https://2017.isc-hpc.com/isc17_ap/presentationdetails.htm?t=presentation&o=1150&a=select&ra=sessiondetails
(2017, January 1). Hoffeins, Franziska, Towards the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications. https://doi.org/10.1109/ispdc.2017.13
, & Banicescu, Ioana. (2017, January 1). Hoffeins, Franziska, Examining the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications. https://doi.org/10.1109/ipdpsw.2017.147
, & Banicescu, Ioana. (2017, January 1). Mohammed, Ali, Eleliemy, Ahmed, & Regular research posters. 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2017).
(2017, January 1). A Methodology for Bridging the Native and Simulated Execution of Parallel Applications. Mohammed, Ali, Eleliemy, Ahmed, & High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2017 IEEE 19th International Conference on. https://doi.org/10.1109/hpcc-smartcity-dss.2017.85
(2017, January 1). Towards the Reproduction of Selected Dynamic Loop Scheduling Experiments Using SimGrid-SimDag [IEEE]. Eleliemy, Ahmed, Mohammed, Ali, & Simulating Batch and Application Level Scheduling Using GridSim and SimGrid [29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016)]. 2. http://sc16.supercomputing.org/sc-archive/tech_poster/tech_poster_pages/post154.html
(2016). Ghiasvand, Siavash, Turning Privacy Constraints into Syslog Analysis Advantage [29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016)]. 2. http://sc16.supercomputing.org/sc-archive/tech_poster/tech_poster_pages/post161.html
, & Nagel, Wolfgang E. (2016). Ghiasvand, Siavash, Proceedings of the IEEE. https://doi.org/10.1109/pdp.2016.101
, Tschüter, Ronny, & Nagel, Wolfgang E. (2016, January 1). Lessons learned from spatial and temporal correlation of node failures in high performance computers. Pfennig, Stefan, Feldhoff, Kim, HPC ’16: Proceedings of the 24th High Performance Computing Symposium, 48, 40–47.
, Franz, Elke, Reiher, Tobias, Bielert, Mario, Ilsche, Thomas, & Nagel, Wolfgang E. (2016). Simulation models verification for resilient communication on a highly adaptive energy-efficient computer. Pfennig, Stefan, Feldhoff, Kim, Simulation Models Verification for Resilient Communication on a Highly Adaptive Energy-Efficient Computer. https://doi.org/10.22360/springsim.2016.hpc.055
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