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Dr. ir. A.L. (Ana) Varbanescu

Faculty of Science
Informatics Institute
Photographer: Siesja Kamphuis
Visiting address
  • Science Park 900
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • my CV

    This is the most recent version of my CV ... I am trying to keep pace, but it's not always up to date. Email me if you need the latest greatest version. Enjoy!

    My CV 

  • Publications

    2024

    • Swatman, S. N., Varbanescu, A. L., Pimentel, A. D., Salzburger, A., & Krasznahorkay, A. (in press). Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays. In Proc. of the ACM/SPEC International Conference on Performance Engineering (ICPE 2024) ACM. https://doi.org/10.1145/3629526.3645034

    2023

    • Baneshi, S., Varbanescu, A.-L., Pathania, A., Akesson, B., & Pimentel, A. (2023). Estimating the Energy Consumption of Applications in the Computing Continuum with iFogSim. In A. Bienz, M. Weiland, M. Baboulin, & C. Kruse (Eds.), High Performance Computing: ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21–25, 2023 : revised selected papers (pp. 234–249). (Lecture Notes in Computer Science; Vol. 13999). Springer. https://doi.org/10.1007/978-3-031-40843-4_18 [details]
    • Swatman, S. N., Varbanescu, A-L., Pimentel, A., Salzburger, A., & Krasznahorkay, A. (2023). Systematically Exploring High-Performance Representations of Vector Fields Through Compile-Time Composition. In ICPE '23: proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering : April 15-19, 2023, Coimbra, Portugal (pp. 55-66). The Association for Computing Machinery. https://doi.org/10.1145/3578244.3583723 [details]
    • Varbanescu, A. L., Swatman, S. N., & Pathania, A. (2023). Performance Engineering for Graduate Students: a View from Amsterdam. In SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (pp. 357-365). ACM. https://doi.org/10.1145/3624062.3624102
    • van Dijk, J., Zavodszky, G., Varbanescu, A.-L., Pimentel, A. D., & Hoekstra, A. (2023). Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations. In R. Wyrzykowski, J. Dongarra, E. Deelman, & K. Karczewski (Eds.), Parallel Processing and Applied Mathematics: 14th International Conference, PPAM 2022, Gdansk, Poland, September 11–14, 2022 : revised selected papers (Vol. I, pp. 183-196). (Lecture Notes in Computer Science; Vol. 13826). Springer. https://doi.org/10.1007/978-3-031-30442-2_14

    2022

    • Khandel, P., Markov, I., Yates, A., & Varbanescu, A-L. (2022). ParClick: A Scalable Algorithm for EM-based Click Models. In WWW'22: proceedings of the ACM Web Conference 2022 : April 25-29, 2022, VIrtual Event, Lyon, France (pp. 392-400). Association for Computing Machinery. https://doi.org/10.1145/3485447.3511967 [details]
    • Swatman, S. N., Varbanescu, A-L., Krasznahorkay, A., & Pimentel, A. (2022). Modelling Performance Loss due to Thread Imbalance in Stochastic Variable-Length SIMT Workloads. In 2022 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems: MASCOTS 2022 : Nice, France, 18-20 October 2022 : proceedings (pp. 137-144). IEEE. https://doi.org/10.1109/MASCOTS56607.2022.00026 [details]
    • de Goede, D., Kampert, D., & Varbanescu, A-L. (2022). The Cost of Reinforcement Learning for Game Engines: The AZ-Hive Case-study. In ICPE '22: proceedings of the 2022 ACM/SPEC International Conference on Performance Engineering : April 9-13, 2022, Bejing, China (pp. 145-152). The Association for Computing Machinery. https://doi.org/10.1145/3489525.3511685 [details]
    • van Stigt, R., Swatman, S. N., & Varbanescu, A-L. (2022). Isolating GPU Architectural Features Using Parallelism-Aware Microbenchmarks. In ICPE '22: proceedings of the 2022 ACM/SPEC International Conference on Performance Engineering : April 9-13, 2022, Bejing, China (pp. 77-88). The Association for Computing Machinery. https://doi.org/10.1145/3489525.3511673 [details]

    2017

    • Varbanescu, A. L., van Nieuwpoort, R. V., Hijma, P., Bal, H. E., Badia, R. M., & Martorell, X. (2017). Programming Models for Multicore and Many-Core Computing Systems. In S. Pllana, & F. Xhafa (Eds.), Programming Multicore and Many-Core Computing Systems (pp. 29-58). (Wiley series on parallel and distributed computing). Wiley. https://doi.org/10.1002/9781119332015.ch2 [details]
    • Verstraaten, M., Varbanescu, A. L., & de Laat, C. (2017). Synthetic graph generation for systematic exploration of graph structural properties. In F. Desprez, & P-F. Dutot (Eds.), Euro-Par 2016: Parallel Processing Workshops: Euro-Par 2016 International Workshops, Grenoble, France, August 24-26, 2016 : revised selected papers (pp. 557-570). (Lecture Notes in Computer Science; Vol. 10104). Springer. https://doi.org/10.1007/978-3-319-58943-5_45 [details]

    2016

    • Madougou, S., Varbanescu, A. L., de Laat, C., & van Nieuwpoort, R. (2016). A tool for bottleneck analysis and performance prediction for GPU-accelerated applications. In 2016 IEEE 30th International Parallel and Distributed Processing Symposium Workshops : IPDPSW 2016: proceedings : 23-27 May 2016, Chicago, Illinois (pp. 641-652). IEEE Computer Society. https://doi.org/10.1109/IPDPSW.2016.198 [details]
    • Madougou, S., Varbanescu, A., de Laat, C., & van Nieuwpoort, R. (2016). The landscape of GPGPU performance modeling tools. Parallel Computing, 56, 18-33. Advance online publication. https://doi.org/10.1016/j.parco.2016.04.002 [details]

    2015

    • Verstraaten, M., Varbanescu, A. L., & de Laat, C. (2015). Quantifying the performance impact of graph structure on neighbour iteration strategies for PageRank. In S. Hunold, A. Costan, D. Giménez, A. Iosup, L. Ricci, M. E. Gómez Requena, V. Scarano, A. L. Varbanescu, S. L. Scott, S. Lankes, J. Weidendorfer, & M. Alexander (Eds.), Euro-Par 2015: Parallel Processing Workshops: Euro-Par 2015 International Workshops, Vienna, Austria, August 24-25, 2015 : revised selected papers (pp. 528-540). (Lecture Notes in Computer Science; Vol. 9523). Springer. https://doi.org/10.1007/978-3-319-27308-2_43 [details]

    2014

    • Madougou, S., Varbanescu, A. L., & van Nieuwpoort, R. (2014). Optimizing a calibration software for radio astronomy. In Proceedings, 16th IEEE International Conference on High Performance Computing and Communications, HPCC 2014, 11th IEEE International Conference on Embedded Software and Systems, ICESS 2014, 6th International Symposium on Cyberspace Safety and Security, CSS 2014: 20-22 August 2014, Paris, France (pp. 1158-1165). IEEE Computer Society. https://doi.org/10.1109/HPCC.2014.189 [details]
    • Madougou, S., Varbanescu, A. L., de Laat, C., & van Nieuwpoort, R. (2014). An empirical evaluation of GPGPU performance models. In L. Lopes (Ed.), Euro-Par 2014: Parallel Processing Workshops: Euro-Par 2014 International Workshops, Porto, Portugal, August 25-26, 2014 : revised selected papers (Vol. 1, pp. 165-176). (Lecture Notes in Computer Science; Vol. 8805). Springer. https://doi.org/10.1007/978-3-319-14325-5_15 [details]

    2012

    • Sclocco, A., Varbanescu, A. L., Mol, J. D., & van Nieuwpoort, R. V. (2012). Radio astronomy beam forming on many-core architectures. In Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium : IPDPS 2012: 21-25 May 2012, Shanghai, China (pp. 1105-1116). IEEE Computer Society. https://doi.org/10.1109/IPDPS.2012.102
    • Varbanescu, A. L., Van Nieuwpoort, R., & Zwart, S. P. (2012). AstroHPC'12 foreword. In AstroHPC'12: Workshop on High-Performance Computing for Astronomy
    • van der Veldt, K., van Nieuwpoort, R., Varbanescu, A. L., & Jesshope, C. (2012). A polyphase filter for GPUs and multi-core processors. In Astro-HPC'12: Workshop on High-Performance Computing for Astronomy : June 19, 2012, Delft, the Netherlands (pp. 33-40). (ACM International Conference Proceedings Series). Association for Computing Machinery. https://doi.org/10.1145/2286976.2286986 [details]

    2011

    • Varbanescu, A. L., Hijma, P., Van Nieuwpoort, R., & Bal, H. (2011). Towards an effective unified programming model for many-cores. In 2011 IEEE IPDPS Workshops & PhD Forum (IPDPSW): 16-20 May, 2011, Anchorage, Alaska, USA (pp. 681-692). IEEE. https://doi.org/10.1109/IPDPS.2011.210

    2009

    • Van Amesfoort, A. S., Varbanescu, A. L., Sips, H. J., & Van Nieuwpoort, R. V. (2009). Evaluating multi-core platforms for HPC data-intensive kernels. In Proceedings of the 6th ACM Conference on Computing Frontiers, CF 2009 (pp. 207-216). ACM. https://doi.org/10.1145/1531743.1531777
    • Varbanescu, A. L., Van Amesfoort, A. S., Cornwell, T., Van Diepen, G., Van Nieuwpoort, R., Elmegreen, B. G., & Sips, H. (2009). Building high-resolution sky images using the Cell/B.E. Scientific Programming, 17(1-2), 113-134. https://doi.org/10.3233/SPR-2009-0276

    2008

    • Varbanescu, A. L., Van Amesfoort, A. S., Cornwell, T., Mattingly, A., Elmegreen, B. G., van Nieuwpoort, R., van Diepen, G., & Sips, H. (2008). Radioastronomy image synthesis on the cell/B.E. In E. Luque, T. Margalef, & D. Benítez (Eds.), Euro-Par 2008 – Parallel Processing: 14th International Euro-Par Conference, Las Palmas de Gran Canaria, Spain, August 26-29, 2008 : proceedings (pp. 749-762). (Lecture Notes in Computer Science; Vol. 5168). Springer. https://doi.org/10.1007/978-3-540-85451-7_80

    2014

    • van Albada, D., Bakker, R., Bethke, I., Belleman, R., van den Berg, D., Bruntink, M., Dekkers, H., Douma, R., van Inge, T., Lagerberg, J., Pimentel, A., Polstra, S., Poss, R., Varbanescu, A. L., Visser, A., & Zaytsev, V. (2014). Whitepaper: Project-based curricula. Universiteit van Amsterdam. [details]

    2011

    • Varbanescu, A. L., Molnos, A., & van Nieuwpoort, R. (2011). A4MMC foreword. In A. L. Varbanescu, A. Molnos, & R. van Nieuwpoort (Eds.), Computer Architecture: ISCA 2010 International Workshops A4MMC, AMAS-BT, EAMA, WEED, WIOSCA, Saint-Malo, France, June 19-23, 2010 : revised selected papers (pp. XI). (Lecture Notes in Computer Science; No. 6161). Springer. https://doi.org/10.1007/978-3-642-24322-6

    2017

    2019

    • Intema, H., Mechev, A. P., Plaat, A., Rottgering, H. J. A., Varbanescu, A. L. & Shimwell, T. W. (2019). Data for: Scalability Model for the LOFAR Direction Independent Pipeline. Mendeley Data. https://doi.org/10.17632/c8v5hv9byp.1
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