{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T05:57:16Z","timestamp":1759384636256,"version":"3.40.3"},"publisher-location":"Cham","reference-count":51,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030479558"},{"type":"electronic","value":"9783030479565"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,7,31]],"date-time":"2020-07-31T00:00:00Z","timestamp":1596153600000},"content-version":"vor","delay-in-days":212,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-47956-5_15","type":"book-chapter","created":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T17:26:56Z","timestamp":1596130016000},"page":"453-482","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["ExtraPeak: Advanced Automatic Performance Modeling for HPC Applications"],"prefix":"10.1007","author":[{"given":"Alexandru","family":"Calotoiu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcin","family":"Copik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Torsten","family":"Hoefler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcus","family":"Ritter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergei","family":"Shudler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felix","family":"Wolf","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,31]]},"reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"an Mey, D., Biersdorff, S., Bischof, C., Diethelm, K., Eschweiler, D., Gerndt, M., Kn\u00fcpfer, A., Lorenz, D., Malony, A.D., Nagel, W.E., Oleynik, Y., R\u00f6ssel, C., Saviankou, P., Schmidl, D., Shende, S.S., Wagner, M., Wesarg, B., Wolf, F.: Score-P: a unified performance measurement system for petascale applications. In: Proceedings of the CiHPC: Competence in High Performance Computing, HPC Status Konferenz der Gau\u00df-Allianz e.V., Schwetzingen, Germany, June 2010, Gau\u00df-Allianz, pp. 85\u201397. Springer, Berlin (2012). \nhttps:\/\/doi.org\/10.1007\/978-3-642-24025-6_8","DOI":"10.1007\/978-3-642-24025-6_8"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Bauer, G., Gottlieb, S., Hoefler, T.: Performance modeling and comparative analysis of the MILC lattice QCD application su3_rmd. In: 2012 12th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), pp. 652\u2013659. IEEE, Piscataway (2012)","DOI":"10.1109\/CCGrid.2012.123"},{"key":"15_CR3","doi-asserted-by":"crossref","unstructured":"Berg, E.: Efficient and flexible characterization of data locality through native execution sampling. Ph.D. Thesis, Department of Information Technology, Uppsala University (2005)","DOI":"10.1145\/1071690.1064232"},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Bhattacharyya, A., Hoefler, T.: PEMOGEN: automatic adaptive performance modeling during program runtime. In: Proceedings of the 23rd International Conference on Parallel Architectures and Compilation Techniques (PACT\u201914). ACM, Edmonton (2014)","DOI":"10.1145\/2628071.2628100"},{"issue":"4","key":"15_CR5","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/s00450-011-0198-5","volume":"27","author":"C Bischof","year":"2012","unstructured":"Bischof, C., An Mey, D., Iwainsky, C.: Brainware for green HPC. Comput. Sci. Res. Dev. 27(4), 227\u2013233 (2012)","journal-title":"Comput. Sci. Res. Dev."},{"issue":"8","key":"15_CR6","first-page":"55","volume":"37","author":"RD Blumofe","year":"1997","unstructured":"Blumofe, R.D., Joerg, C.F., Kuszmaul, B.C., Leiserson, C.E., Randall, K.H., Zhou, Y.: Cilk: an efficient multithreaded runtime system. J. Parallel Distrib. Comput. 37(8), 55\u201369 (1997)","journal-title":"J. Parallel Distrib. Comput."},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Brebner, P.C.: Automatic performance modelling from application performance management (APM) data: an experience report. In: Proceedings of the 7th ACM\/SPEC on International Conference on Performance Engineering, ICPE \u201916, pp. 55\u201361. ACM, New York (2016). \nhttps:\/\/doi.org\/10.1145\/2851553.2851560","DOI":"10.1145\/2851553.2851560"},{"issue":"3","key":"15_CR8","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1177\/109434200001400303","volume":"14","author":"S Browne","year":"2000","unstructured":"Browne, S., Dongarra, J., Garner, N., Ho, G., Mucci, P.: A portable programming interface for performance evaluation on modern processors. Int. J. High Perform. Comput. Appl. 14(3), 189\u2013204 (2000)","journal-title":"Int. J. High Perform. Comput. Appl."},{"key":"15_CR9","doi-asserted-by":"publisher","unstructured":"Burger, M., Bischof, C., Calotoiu, A., Wunderer, T., Wolf, F.: Exploring the performance envelope of the LLL algorithm. In: Proceedings of the 2018 IEEE International Conference on Computational Science and Engineering (CSE), pp. 36\u201343 (2018). \nhttps:\/\/doi.org\/10.1109\/CSE.2018.00012","DOI":"10.1109\/CSE.2018.00012"},{"key":"15_CR10","doi-asserted-by":"crossref","unstructured":"Calotoiu, A., Hoefler, T., Poke, M., Wolf, F.: Using automated performance modeling to find scalability bugs in complex codes. In: Proceedings of the ACM\/IEEE Conference on Supercomputing (SC13), Denver, pp. 1\u201312. ACM, New York (2013). \nhttps:\/\/doi.org\/10.1145\/2503210.2503277","DOI":"10.1145\/2503210.2503277"},{"key":"15_CR11","doi-asserted-by":"publisher","unstructured":"Calotoiu, A., Beckinsale, D., Earl, C.W., Hoefler, T., Karlin, I., Schulz, M., Wolf, F.: Fast multi-parameter performance modeling. In: Proceedings of the 2016 IEEE International Conference on Cluster Computing (CLUSTER), pp. 172\u2013181 (2016). \nhttps:\/\/doi.org\/10.1109\/CLUSTER.2016.57","DOI":"10.1109\/CLUSTER.2016.57"},{"key":"15_CR12","doi-asserted-by":"publisher","unstructured":"Calotoiu, A., Graf, A., Hoefler, T., Lorenz, D., Rinke, S., Wolf, F.: Lightweight requirements engineering for exascale co-design. In: Proceedings of the 2018 IEEE International Conference on Cluster Computing (CLUSTER), pp. 201\u2013211 (2018). \nhttps:\/\/doi.org\/10.1109\/CLUSTER.2018.00038","DOI":"10.1109\/CLUSTER.2018.00038"},{"issue":"3","key":"15_CR13","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1016\/j.future.2004.11.019","volume":"22","author":"L Carrington","year":"2006","unstructured":"Carrington, L., Snavely, A., Wolter, N.: A performance prediction framework for scientific applications. Futur. Gener. Comput. Syst. 22(3), 336\u2013346 (2006). \nhttps:\/\/doi.org\/10.1016\/j.future.2004.11.019","journal-title":"Futur. Gener. Comput. Syst."},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Clause, J., Li, W., Orso, A.: Dytan: a generic dynamic taint analysis framework. In: Proceedings of the 2007 International Symposium on Software Testing and Analysis, ISSTA \u201907, pp. 196\u2013206. ACM, New York (2007). \nhttps:\/\/doi.org\/10.1145\/1273463.1273490","DOI":"10.1145\/1273463.1273490"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Galakatos, A., Markovitch, M., Binnig, C., Fonseca, R., Kraska, T.: Fiting-tree: a data-aware index structure. In: Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, Amsterdam, June 30\u2013July 5, pp. 1189\u20131206 (2019). \nhttps:\/\/doi.org\/10.1145\/3299869.3319860","DOI":"10.1145\/3299869.3319860"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Goldsmith, S.F., Aiken, A.S., Wilkerson, D.S.: Measuring empirical computational complexity. In: Proceedings of the 6th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on The Foundations of Software Engineering, ESEC-FSE \u201907, pp. 395\u2013404. ACM, New York (2007). \nhttps:\/\/doi.org\/10.1145\/1287624.1287681","DOI":"10.1145\/1287624.1287681"},{"issue":"3","key":"15_CR17","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/88.242438","volume":"1","author":"AY Grama","year":"1993","unstructured":"Grama, A.Y., Gupta, A., Kumar, V.: Isoefficiency: measuring the scalability of parallel algorithms and architectures. Parallel Distrib. Technol. Syst. Appl. 1(3), 12\u201321 (1993)","journal-title":"Parallel Distrib. Technol. Syst. Appl."},{"issue":"17","key":"15_CR18","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4057","volume":"29","author":"A Grebhahn","year":"2017","unstructured":"Grebhahn, A., Rodrigo, C., Siegmund, N., Gaspar, F.J., Apel, S.: Performance-influence models of multigrid methods: a case study on triangular grids. Concurr. Comp. Pract. Exp. 29(17), e4057 (2017)","journal-title":"Concurr. Comp. Pract. Exp."},{"key":"15_CR19","doi-asserted-by":"crossref","unstructured":"Hammer, J., Hager, G., Eitzinger, J., Wellein, G.: Automatic loop kernel analysis and performance modeling with Kerncraft. CoRR abs\/1509.03778 (2015). \nhttps:\/\/doi.org\/10.1145\/2832087.2832092","DOI":"10.1145\/2832087.2832092"},{"key":"15_CR20","unstructured":"Hoefler, T., Janisch, R., Rehm, W.: Parallel scaling of Teter\u2019s minimization for Ab Initio calculations. In: HPC Nano\u201906 in Conjunction with the International Conference on High Performance Computing, Networking, Storage and Analysis, SC06 (2006)"},{"key":"15_CR21","doi-asserted-by":"crossref","unstructured":"Hoefler, T., Gropp, W., Kramer, W., Snir, M.: Performance modeling for systematic performance tuning. In: State of the Practice Reports, SC \u201911, pp. 6:1\u20136:12. ACM, New York (2011). \nhttps:\/\/doi.org\/10.1145\/2063348.2063356","DOI":"10.1145\/2063348.2063356"},{"key":"15_CR22","doi-asserted-by":"crossref","unstructured":"Hoefler, T., Kwasniewski, G.: Automatic complexity analysis of explicitly parallel programs. In: Proceedings of the 26th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA \u201914, pp. 226\u2013235. ACM, New York (2014). \nhttps:\/\/doi.org\/10.1145\/2612669.2612685","DOI":"10.1145\/2612669.2612685"},{"key":"15_CR23","doi-asserted-by":"crossref","unstructured":"Ilyas, M.K., Calotoiu, A., Wolf, F.: Off-road performance modeling \u2013 how to deal with segmented data. In: European Conference on Parallel Processing, vol. 10417, pp. 36\u201348. Springer, Berlin (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-64203-1_3","DOI":"10.1007\/978-3-319-64203-1_3"},{"key":"15_CR24","doi-asserted-by":"crossref","unstructured":"Iwainsky, C., Shudler, S., Calotoiu, A., Strube, A., Knobloch, M., Bischof, C., Wolf, F.: How many threads will be too many? On the scalability of OpenMP implementations. In: Proceedings of the 21st Euro-Par Conference, Vienna, Austria. Lecture Notes in Computer Science, vol. 9233, pp. 451\u2013463. Springer, Berlin (2015). \nhttps:\/\/doi.org\/10.1007\/978-3-662-48096-0_35","DOI":"10.1007\/978-3-662-48096-0_35"},{"key":"15_CR25","doi-asserted-by":"publisher","unstructured":"Jayakumar, A., Murali, P., Vadhiyar, S.: Matching application signatures for performance predictions using a single execution. In: 2015 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 1161\u20131170 (2015). \nhttps:\/\/doi.org\/10.1109\/IPDPS.2015.20","DOI":"10.1109\/IPDPS.2015.20"},{"key":"15_CR26","unstructured":"J\u00fclich Supercomputing Centre: JuBE - J\u00fclich Benchmarking Environment (2016). \nhttp:\/\/www.fz-juelich.de\/jsc\/jube"},{"key":"15_CR27","unstructured":"Kerbyson, D.J., Alme, H.J., Hoisie, A., Petrini, F., Wasserman, H.J., Gittings, M.: Predictive performance and scalability modeling of a large-scale application. In: Proceedings of the ACM\/IEEE Conference on Supercomputing (SC\u201901), p. 37. ACM, New York (2001). \nhttp:\/\/doi.acm.org\/10.1145\/582034.582071"},{"key":"15_CR28","unstructured":"Kunen, A.J.: Kripke - user manual v1.0. Technical Report, LLNL-SM-658558, Lawrence Livermore National Laboratory (2014)"},{"key":"15_CR29","doi-asserted-by":"crossref","unstructured":"Lo, Y.J., Williams, S., Van Straalen, B., Ligocki, T.J., Cordery, M.J., Wright, N.J., Hall, M.W., Oliker, L.: Roofline model toolkit: a practical tool for architectural and program analysis. In: High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, pp. 129\u2013148. Springer, Berlin (2014)","DOI":"10.1007\/978-3-319-17248-4_7"},{"issue":"1","key":"15_CR30","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1145\/1012888.1005691","volume":"32","author":"G Marin","year":"2004","unstructured":"Marin, G., Mellor-Crummey, J.: Cross-architecture performance predictions for scientific applications using parameterized models. SIGMETRICS Perform. Eval. Rev. 32(1), 2\u201313 (2004). \nhttps:\/\/doi.org\/10.1145\/1012888.1005691","journal-title":"SIGMETRICS Perform. Eval. Rev."},{"key":"15_CR31","doi-asserted-by":"crossref","unstructured":"Mathis, M.M., Amato, N.M., Adams, M.L.: A general performance model for parallel sweeps on orthogonal grids for particle transport calculations. Technical Report, College Station, TX (2000)","DOI":"10.1145\/335231.335256"},{"key":"15_CR32","unstructured":"OpenMP Architecture Review Board: OpenMP application programming interface, version 4.0 (2013). \nhttp:\/\/www.openmp.org\/mp-documents\/OpenMP4.0.0.pdf"},{"key":"15_CR33","doi-asserted-by":"publisher","unstructured":"Pllana, S., Brandic, I., Benkner, S.: Performance modeling and prediction of parallel and distributed computing systems: a survey of the state of the art. In: Proceedings of the 1st International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 279\u2013284 (2007). \nhttps:\/\/doi.org\/10.1109\/CISIS.2007.49","DOI":"10.1109\/CISIS.2007.49"},{"key":"15_CR34","doi-asserted-by":"crossref","unstructured":"Reisert, P., Calotoiu, A., Shudler, S., Wolf, F.: Following the blind seer \u2013 creating better performance models using less information. In: European Conference on Parallel Processing, vol. 10417, pp. 106\u2013118. Springer, Berlin (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-64203-1_8","DOI":"10.1007\/978-3-319-64203-1_8"},{"key":"15_CR35","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/j.jpdc.2017.11.019","volume":"120","author":"S Rinke","year":"2018","unstructured":"Rinke, S., Butz-Ostendorf, M., Hermanns, M.A., Naveau, M., Wolf, F.: A scalable algorithm for simulating the structural plasticity of the brain. J. Parallel Distrib. Comput. 120, 251\u2013266 (2018). \nhttps:\/\/doi.org\/10.1016\/j.jpdc.2017.11.019","journal-title":"J. Parallel Distrib. Comput."},{"key":"15_CR36","doi-asserted-by":"publisher","unstructured":"Sarkar, A., Guo, J., Siegmund, N., Apel, S., Czarnecki, K.: Cost-efficient sampling for performance prediction of configurable systems. In: Proceedings of the 2015 30th IEEE\/ACM International Conference on Automated Software Engineering (ASE), ASE \u201915, pp. 342\u2013352. IEEE Computer Society, Washington (2015). \nhttps:\/\/doi.org\/10.1109\/ASE.2015.45","DOI":"10.1109\/ASE.2015.45"},{"key":"15_CR37","doi-asserted-by":"crossref","unstructured":"Shudler, S., Calotoiu, A., Hoefler, T., Strube, A., Wolf, F.: Exascaling Your library: will your implementation meet your expectations? In: Proceedings of the 29th ACM on International Conference on Supercomputing, ICS \u201915, pp. 165\u2013175. ACM, New York (2015). \nhttps:\/\/doi.org\/10.1145\/2751205.2751216","DOI":"10.1145\/2751205.2751216"},{"key":"15_CR38","doi-asserted-by":"crossref","unstructured":"Shudler, S., Calotoiu, A., Hoefler, T., Wolf, F.: Isoefficiency in practice: configuring and understanding the performance of task-based applications. In: Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP \u201917, pp. 131\u2013143. ACM, New York (2017). \nhttps:\/\/doi.org\/10.1145\/3018743.3018770","DOI":"10.1145\/3018743.3018770"},{"issue":"8","key":"15_CR39","doi-asserted-by":"publisher","first-page":"1768","DOI":"10.1109\/TPDS.2019.2896993","volume":"30","author":"S Shudler","year":"2019","unstructured":"Shudler, S., Berens, Y., Calotoiu, A., Hoefler, T., Strube, A., Wolf, F.: Engineering algorithms for scalability through continuous validation of performance expectations. IEEE Trans. Parallel Distrib. Syst. 30(8), 1768\u20131785 (2019). \nhttps:\/\/doi.org\/10.1109\/TPDS.2019.2896993","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"3","key":"15_CR40","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1007\/s11219-011-9152-9","volume":"20","author":"N Siegmund","year":"2012","unstructured":"Siegmund, N., Rosenm\u00fcller, M., Kuhlemann, M., K\u00e4stner, C., Apel, S., Saake, G.: SPL conqueror: toward optimization of non-functional properties in software product lines. Softw. Qual. J. 20(3), 487\u2013517 (2012). \nhttps:\/\/doi.org\/10.1007\/s11219-011-9152-9","journal-title":"Softw. Qual. J."},{"key":"15_CR41","doi-asserted-by":"crossref","unstructured":"Siegmund, N., Grebhahn, A., Apel, S., K\u00e4stner, C.: Performance-influence models for highly configurable systems. In: Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, ESEC\/FSE 2015, pp. 284\u2013294. ACM, New York (2015). \nhttps:\/\/doi.org\/10.1145\/2786805.2786845","DOI":"10.1145\/2786805.2786845"},{"key":"15_CR42","unstructured":"Spafford, K.L., Vetter, J.S.: Aspen: a domain specific language for performance modeling. In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, SC \u201912, pp. 84:1\u201384:11. IEEE Computer Society Press, Los Alamitos (2012). \nhttp:\/\/dl.acm.org\/citation.cfm?id=2388996.2389110"},{"key":"15_CR43","doi-asserted-by":"crossref","unstructured":"Tallent, N.R., Hoisie, A.: Palm: easing the burden of analytical performance modeling. In: Proceedings of the 28th ACM International Conference on Supercomputing, ICS \u201914, pp. 221\u2013230. ACM, New York (2014). \nhttps:\/\/doi.org\/10.1145\/2597652.2597683","DOI":"10.1145\/2597652.2597683"},{"key":"15_CR44","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1007\/978-3-319-40528-5_21","volume-title":"Software for Exascale Computing \u2013 SPPEXA 2013\u20132015","author":"A Vogel","year":"2016","unstructured":"Vogel, A., Calotoiu, A., N\u00e4gel, A., Reiter, S., Strube, A., Wittum, G., Wolf, F.: Automated performance modeling of the ug4 simulation framework. In: Bungartz, H.J., Neumann, P., Nagel, W.E. (eds.) Software for Exascale Computing \u2013 SPPEXA 2013-2015, pp. 467\u2013481. Springer International Publishing, Cham (2016)"},{"issue":"1","key":"15_CR45","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1177\/1094342004041293","volume":"18","author":"R Vuduc","year":"2004","unstructured":"Vuduc, R., Demmel, J.W., Bilmes, J.A.: Statistical models for empirical search-based performance tuning. Int. J. High Perform. Comput. Appl. 18(1), 65\u201394 (2004). \nhttps:\/\/doi.org\/10.1177\/1094342004041293","journal-title":"Int. J. High Perform. Comput. Appl."},{"key":"15_CR46","doi-asserted-by":"crossref","unstructured":"Wang, W., Dey, T., Davidson, J.W., Soffa, M.L.: DraMon: predicting memory bandwidth usage of multi-threaded programs with high accuracy and low overhead. In: Proceedings of the 2014 IEEE 20th International Symposium on High Performance Computer Architecture (HPCA \u201914), pp. 380\u2013391 (2014)","DOI":"10.1109\/HPCA.2014.6835948"},{"key":"15_CR47","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1007\/978-3-319-40528-5_20","volume-title":"Software for Exascale Computing - SPPEXA 2013\u20132015","author":"F Wolf","year":"2016","unstructured":"Wolf, F., Bischof, C., Calotoiu, A., Hoefler, T., Iwainsky, C., Kwasniewski, G., Mohr, B., Shudler, S., Strube, A., Vogel, A., Wittum, G.: Automatic performance modeling of HPC applications. In: Bungartz, H.J., Neumann, P., Nagel, W.E. (eds.) Software for Exascale Computing - SPPEXA 2013-2015, pp. 445\u2013465. Springer International Publishing, Cham (2016)"},{"key":"15_CR48","doi-asserted-by":"crossref","unstructured":"Wu, X., M\u00fcller, F.: Scalaextrap: trace-based communication extrapolation for SPMD programs. ACM Trans. Program. Lang. Syst. 34(1) (2012)","DOI":"10.1145\/2160910.2160914"},{"key":"15_CR49","doi-asserted-by":"crossref","unstructured":"Zaparanuks, D., Hauswirth, M.: Algorithmic profiling. In: Proceedings of the 33rd ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI \u201912, pp. 67\u201376. ACM, New York (2012). \nhttps:\/\/doi.org\/10.1145\/2254064.2254074","DOI":"10.1145\/2254064.2254074"},{"issue":"5","key":"15_CR50","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1145\/1837853.1693493","volume":"45","author":"J Zhai","year":"2010","unstructured":"Zhai, J., Chen, W., Zheng, W.: Phantom: predicting performance of parallel applications on large-scale parallel machines using a single node. SIGPLAN Not. 45(5), 305\u2013314 (2010). \nhttps:\/\/doi.org\/10.1145\/1837853.1693493","journal-title":"SIGPLAN Not."},{"key":"15_CR51","doi-asserted-by":"publisher","unstructured":"Zhang, Y., Guo, J., Blais, E., Czarnecki, K.: Performance prediction of configurable software systems by Fourier learning. In: Proceedings of the 2015 30th IEEE\/ACM International Conference on Automated Software Engineering (ASE), ASE \u201915, pp. 365\u2013373. IEEE Computer Society, Washington (2015). \nhttps:\/\/doi.org\/10.1109\/ASE.2015.15","DOI":"10.1109\/ASE.2015.15"}],"container-title":["Lecture Notes in Computational Science and Engineering","Software for Exascale Computing - SPPEXA 2016-2019"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-47956-5_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T17:35:13Z","timestamp":1596130513000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-47956-5_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030479558","9783030479565"],"references-count":51,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-47956-5_15","relation":{},"ISSN":["1439-7358","2197-7100"],"issn-type":[{"type":"print","value":"1439-7358"},{"type":"electronic","value":"2197-7100"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"31 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}