Dr.  Mehmet Soysal

Dr. Mehmet Soysal

Publikationsliste


Buchaufsätze
ADA-FS - Advanced Data Placement via Ad hoc File Systems at Extreme Scales.
Oeste, S.; Vef, M.-A.; Soysal, M.; Nagel, W. E.; Brinkmann, A.; Streit, A.
2020. Software for Exascale Computing-SPPEXA 2016-2019. Ed.: H.-J. Bungartz, 29–59, Springer
Dissertationen
Exploring Scheduling for On-demand File Systems and Data Management within HPC Environments. Dissertation.
Soysal, M.
2021, März 17. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000130537/v2
Zeitschriftenaufsätze
UNICORE Services für die Anwendungen Turbomole und eSBMTools.
Poschlad, A.; Nilsen, D.; Soysal, M.; Kondov, I.
2015. SCC-News, 2015, 14–15
Proceedingsbeiträge
Walltime Prediction and Its Impact on Job Scheduling Performance and Predictability.
Klusáček, D.; Soysal, M.
2020. Job Scheduling Strategies for Parallel Processing. Ed.: D. Klusáček, 127–144, Springer
Alea – Complex Job Scheduling Simulator.
Klusáček, D.; Soysal, M.; Suter, F.
2020. Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part II. Hrsg.: R. Wyrzykowski, 217–229, Springer International Publishing. doi:10.1007/978-3-030-43222-5_19
On the Quality of Wall Time Estimates for Resource Allocation Prediction.
Soysal, M.; Berghoff, M.; Klusáček, D.; Streit, A.
2019. ICPP 2019 Proceedings of the 48th International Conference on Parallel Processing: Workshops, Kyoto, Japan — August 05 - 08, 2019, Artikel Nr.: 23 /1–8, Association for Computing Machinery (ACM). doi:10.1145/3339186.3339204
Using On-demand File Systems in HPC Environments.
Soysal, M.; Berghoff, M.; Zirwes, T.; Vef, M.-A.; Oeste, S.; Brinkman, A.; Nagel, W. E.; Streit, A.
2019. The 17th Annual Meeting of the 2019 International Conference on High Performance Computing & Simulation (HPCS 2019), Dublin, IR, July 15-19, 2019. doi:10.1109/HPCS48598.2019.9188216
Batch Job Scheduling Using Enhanced Walltime Prediction.
Klusáček, D.; Soysal, M.
2018. CGW Workshop ’18 (CGW’18), Kraków, PL, 22-24 October 2018, AGH
Analysis of Job Metadata for Enhanced Wall Time Prediction.
Soysal, M.; Berghoff, M.; Streit, A.
2018. Job Scheduling Strategies for Parallel Processing : 22nd International Workshop, JSSPP 2018, Vancouver, BC, Canada, May 25, 2018, Revised Selected Papers. Ed.: Dalibor Klusáček, 14 S., Springer. doi:10.1007/978-3-030-10632-4_1
Exploring Opportunities for Job-temporal File Systems with ADA-FS.
Oeste, S.; Kluge, M.; Soysal, M.; Streit, A.; Vef, M.-A.; Brinkmann, A.
2016. 1st Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems (PDSW-DISCS 2016), Salt Lake City, UT, November 14, 2016
Vorträge
On the Quality of Wall Time Estimates for Resource Allocation Prediction.
Soysal, M.; Berghoff, M.; Klusáček, D.; Streit, A.
2019, August 5. 15th International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems in conjunction with International Conference on Parallel Processing (ICPP) (SRMPDS 2019), Kyōto, Japan, 5. August 2019
Using On-Demand File Systems in HPC Environments.
Soysal, M.; Berghoff, M.; Zirwes, T.; Vef, M.-A.; Oeste, S.; Brinkmann, A.; Nagel, W. E.; Streit, A.
2019, Juli 17. 17th International Conference on High Performance Computing & Simulation (HPCS 2019), Dublin, Irland, 15.–19. Juli 2019
Analysis of Job Metadata for Enhanced Wall Time Prediction.
Soysal, M.; Berghoff, M.; Streit, A.
2018. JSSPP (2018), Vancouver, Kanada, 21.–25. Mai 2018
Poster
ADA-FS: Advanced Data Placement via Ad-hoc File Systems.
Soysal, M.; Vef, M.-A.; Oeste, S.; Streit, A.; Brinkmann, A.; Kluge, M.
2017, Juni. ISC (2017), Frankfurt am Main, Deutschland, 18.–22. Juni 2017
Sonstiges
Performance gains in an ESM using parallel ad-hoc file systems.
Versick, S.; Kirner, O.; Meyer, J.; Obermaier, H.; Soysal, M.
2020, April 30. doi:10.5194/egusphere-egu2020-18121