The Academic Perspective Procedia publishes Academic Platform symposiums papers as three volumes in a year. DOI number is given to all of our papers.
Publisher : Academic Perspective
Journal DOI : 10.33793/acperpro
Journal eISSN : 2667-5862
[1] Buttazzo GC. Hard Real-Time Computing Systems. Boston, MA: Springer US; 2011. doi: 10.1007/978-1-4614-0676-1
[2] Kopetz H. Real-Time Systems. 2nd ed. Boston, MA: Springer US; 2011. doi: 10.1007/978-1-4419-8237-7
[3] Bollella G et al. The Real-Time Specification for Java. Addison-Wesley; 2000.
[4] Dobbing B, Burns A. The Ravenscar Tasking Profile for High Integrity Real-Time Programs. Proceedings of the 1998 annual ACM SIGAda international conference on Ada - SIGAda '98; 1998; 1-6. doi: 10.1145/289524.289525
[5] AdaCore. AdaCore homepage. 20-Jul-2020. [Online]. Available: https://www.adacore.com
[6] Wilhelm R et al. The worst-case execution-time problem—overview of methods and survey of tools. ACM Trans. Embed. Comput. Syst.; 2008; 7(3): 1–53. doi: 10.1145/1347375.1347389
[7] Davis RI, Cucu-Grosjean L. A Survey of Probabilistic Timing Analysis Techniques for Real-Time Systems. Leibniz Trans. Embed. Syst.; 2019; 6(1): 03:1-03:60. doi: 10.4230/LITES-v006-i001-a003
[8] Cazorla FJ, Kosmidis L, Mezzetti E, Hernandez C, Abella J, Vardanega T. Probabilistic Worst-Case Timing Analysis: Taxonomy and Comprehensive Survey. ACM Comput. Surv.; 2019; 52(1): 14:1-14:35. doi: 10.1145/3301283
[9] Abella J et al. WCET analysis methods: Pitfalls and challenges on their trustworthiness. 10th IEEE International Symposium on Industrial Embedded Systems (SIES); 2015; 1–10. doi: 10.1109/SIES.2015.7185039
[10] Gustafsson J, Betts A, Ermedahl A, Lisper B. The Mälardalen WCET Benchmarks: Past, Present And Future. 10th International Workshop on Worst-Case Execution Time Analysis (WCET 2010); 2010; 136–146. doi: 10.4230/OASIcs.WCET.2010.136
[11] Sakarya University. Real-Time Systems Research Laboratory homepage. 20-Jul-2020. [Online]. Available: https://rtsrlab.sakarya.edu.tr
[12] Tian X et al. BigDataBench-S: An Open-Source Scientific Big Data Benchmark Suite. 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW); 2017; 1068–1077. doi: 10.1109/IPDPSW.2017.111
[13] Bienia C, Kumar S, Singh JP, Li K. The PARSEC Benchmark Suite: Characterization and Architectural Implications. Proceedings of the 17th International Conference on Parallel Architectures and Compilation Techniques - PACT’08; 2008; 72-81. doi: 10.1145/1454115.1454128
[14] Che S et al. Rodinia: A benchmark suite for heterogeneous computing. 2009 IEEE International Symposium on Workload Characterization (IISWC); 2009; 44–54. doi: 10.1109/IISWC.2009.5306797
[15] Haynes B, Mazumdar A, Balazinska M, Ceze L, Cheung A. Visual Road: A Video Data Management Benchmark. Proceedings of the 2019 International Conference on Management of Data - SIGMOD’19; 2019; 972–987. doi: 10.1145/3299869.3324955
[16] Wang Y et al. Benchmarking OpenMP programs for real-time scheduling. 2017 IEEE 23rd International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA); 2017; 1–10. doi: 10.1109/RTCSA.2017.8046322
[17] Guthaus MR, Ringenberg JS, Ernst D, Austin TM, Mudge T, Brown RB. MiBench: A free, commercially representative embedded benchmark suite. Proceedings of the Fourth Annual IEEE International Workshop on Workload Characterization. WWC-4 (Cat. No.01EX538); 2001; 3–14. doi: 10.1109/WWC.2001.990739
[18] EEMBC. Embedded Microprocessor Benchmark Consortium homepage. 20-Jul-2020. [Online]. Available: https://www.eembc.org
[19] Standard Performance Evaluation Corporation. Spec - Standard Performance Evaluation Corporation. 20-Jul-2020. [Online]. Available: https://www.spec.org
[20] Blackburn SM et al. The DaCapo Benchmarks: Java Benchmarking Development and Analysis. Proceedings of the 21st Annual ACM SIGPLAN Conference on Object-Oriented Programming Systems, Languages, and Applications - OOPSLA’06; 2006; 169-190. doi: 10.1145/1167473.1167488
[21] Kalibera T, Parizek P, Haddad G, Leavens GT, Vitek J. Challenge Benchmarks for Verification of Real-Time Programs. Proceedings of the 4th ACM SIGPLAN Workshop on Programming Languages Meets Program Verification – PLPV’10; 2010; 57-62. doi: 10.1145/1707790.1707800
[22] Schoeberl M, Preusser TB, Uhrig S. The Embedded Java Benchmark Suite JemBench. Proceedings of the 8th International Workshop on Java Technologies for Real-Time and Embedded Systems; 2010; 120–127. doi: 10.1145/1850771.1850789
[23] Serttaş S, Şahin VH. PBench: A Parallel, Real-Time Benchmark Suite. Academic Perspective Procedia; 2018; 1(1): 178–186. doi: 10.33793/acperpro.01.01.37
[24] Kuzhan M, Şahin VH. MBBench: A WCET Benchmark Suite. Sak. Univ. J. Comput. Inf. Sci.; 2020; 3(1): 39–49. doi: 10.35377/saucis.03.01.705777
[25] Falk H et al. TACLeBench: A Benchmark Collection to Support Worst-Case Execution Time Research. 16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016); 2016; 55: 2:1–2:10. doi: 10.4230/OASIcs.WCET.2016.2
[26] Nemer F, Cassé H, Sainrat P, Bahsoun JP, Michiel MD. PapaBench: a Free Real-Time Benchmark. 6th International Workshop on Worst-Case Execution Time Analysis (WCET’06); 2006; 4: 1-6. doi: 10.4230/OASIcs.WCET.2006.678
[27] Kluge F, Rochange C, Ungerer T. EMSBench: Benchmark and Testbed for Reactive Real-Time Systems. Leibniz Trans. Embed. Syst.; 2017; 4(2): 02–1-02:23. doi: 10.4230/LITES-v004-i002-a002
[28] Wägemann P, Distler T, Hönig T, Sieh V, Schröder-Preikschat W. GenE: A Benchmark Generator for WCET Analysis. 15th International Workshop on Worst-Case Execution Time Analysis (WCET 2015); 2015; 47: 33–43. doi: 10.4230/OASIcs.WCET.2015.33
[29] Eichler C, Distler T, Ulbrich P, Wägemann P, Schröder-Preikschat W. TASKers: A Whole-System Generator for Benchmarking Real-Time-System Analyses. 18th International Workshop on Worst-Case Execution Time Analysis (WCET 2018); 2018; 63: 6:1-6:12. doi: 10.4230/OASIcs.WCET.2018.6