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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!
Khandel, P., Markov, I., Yates, A. C., & Varbanescu, A. L. (2022). ParClick: A Scalable Algorithm for EM-based Click Models. In WWW '22: Proceedings of the ACM Web Conference 2022 (pp. 392-400). ACM. https://doi.org/10.1145/3485447.3511967
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). Hoboken, NJ: 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). Cham: 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). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/IPDPSW.2016.198[details]
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). Cham: 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). Los Alamitos, California: 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). Cham: 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). Los Alamitos, Calif. : 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). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2286976.2286986[details]
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., ... 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). Berlin: 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]
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). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-24322-6
2017
Verstraaten, M., Varbanescu, A. L., & de Laat, C. (2017). Using Graph Properties to Speed-up GPU-based Graph Traversal: A Model-driven Approach. Ithaca, NY: arXiv.org. [details]
Intema, H., Mechev, A. P., Plaat, A., Rottgering, H. J. A., Varbanescu, A. L. & Shimwell, T. W. (27-6-2019). Data for: Scalability Model for the LOFAR Direction Independent Pipeline. Mendeley Data. https://doi.org/10.17632/c8v5hv9byp.1
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