| 2026 | EuroPar | Assessing the Performance Impact of Data Layouts: a Benchmarking Approach. | Jolly Chen, Ana Lucia Varbanescu, Axel Naumann |
| 2026 | ICCS | An Empirical Evaluation of HPC Processors for a Coupled Scientific Simulation. | Jelle van Dijk, Okba Hamitou, Gbor Zvodszky, Ana Lucia Varbanescu, Andy D. Pimentel, Alfons G. Hoekstra |
| 2025 | CCGRID | Empowering Sustainability: Energy Labeling of Digital Services Using Simulation. | Saeedeh Baneshi, Anuj Pathania, Benny Akesson, Andy D. Pimentel, Ana Lucia Varbanescu |
| 2025 | ECIR | PEIR: Modeling Performance in Neural Information Retrieval. | Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke, Andy D. Pimentel |
| 2025 | EuroPar | Wedge-Parallel Triangle Counting for GPUs. | Jeffrey Spaan, Kuan-Hsun Chen, David A. Bader, Ana Lucia Varbanescu |
| 2024 | ICCS | Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research. | Uraz Odyurt, Stephen Nicholas Swatman, Ana Lucia Varbanescu, Sascha Caron |
| 2024 | ICTIR | Distillation vs. Sampling for Efficient Training of Learning to Rank Models. | Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke, Andy D. Pimentel |
| 2023 | COMPSAC | The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. | Martin Molan, Junaid Ahmed Khan, Andrea Bartolini, Roberta Turra, Giorgio Pedrazzi, Michael Cochez, Alexandru Iosup, Dumitru Roman, Joze M. Rozanec, Ana Lucia Varbanescu, Radu Prodan |
| 2023 | EuroPar | MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training. | Skip Thijssen, Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu |
| 2023 | SC | Performance Engineering for Graduate Students: a View from Amsterdam. | Ana Lucia Varbanescu, Stephen Nicholas Swatman, Anuj Pathania |
| 2023 | RTCSA | Analyzing Digital Services Across the Compute Continuum Using iFogSim. | Saeedeh Baneshi, Ana Lucia Varbanescu, Anuj Pathania, Benny Akesson, Andy D. Pimentel |
| 2022 | MASCOTS | Modelling Performance Loss due to Thread Imbalance in Stochastic Variable-Length SIMT Workloads. | Stephen Nicholas Swatman, Ana Lucia Varbanescu, Attila Krasznahorkay, Andy D. Pimentel |
| 2022 | PPAM | Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations. | Jelle van Dijk, Gbor Zvodszky, Ana Lucia Varbanescu, Andy D. Pimentel, Alfons G. Hoekstra |
| 2022 | WWW | ParClick: A Scalable Algorithm for EM-based Click Models. | Pooya Khandel, Ilya Markov, Andrew Yates, Ana Lucia Varbanescu |
| 2020 | DSD | μ-Genie: A Framework for Memory-Aware Spatial Processor Architecture Co-Design Exploration. | Giulio Stramondo, Manil Dev Gomony, Bartek Kozicki, Cees de Laat, Ana Lucia Varbanescu |
| 2020 | SC | DDLBench: Towards a Scalable Benchmarking Infrastructure for Distributed Deep Learning. | Matthijs Jansen, Valeriu Codreanu, Ana Lucia Varbanescu |
| 2018 | CLUSTER | Exploring HPC and Big Data Convergence: A Graph Processing Study on Intel Knights Landing. | Alexandru Uta, Ana Lucia Varbanescu, Ahmed Musaafir, Chris Lemaire, Alexandru Iosup |
| 2018 | EuroPar | Towards Application-Centric Parallel Memories. | Giulio Stramondo, Catalin Bogdan Ciobanu, Ana Lucia Varbanescu, Cees de Laat |
| 2018 | FCCM | Performance Prediction for Large-Scale Heterogeneous Platforms. | Ryota Yasudo, Ana Lucia Varbanescu, Jos Gabriel F. Coutinho, Wayne Luk, Hideharu Amano |
| 2018 | SC | Mix-and-Match: A Model-Driven Runtime Optimisation Strategy for BFS on GPUs. | Merijn Verstraaten, Ana Lucia Varbanescu, Cees de Laat |
| 2016 | CCGRID | Design and Experimental Evaluation of Distributed Heterogeneous Graph-Processing Systems. | Yong Guo, Ana Lucia Varbanescu, Dick H. J. Epema, Alexandru Iosup |
| 2016 | EuroPar | Towards the Next Generation of Large-Scale Network Archives. | Stijn Heldens, Ana Lucia Varbanescu, Wing Lung Ngai, Tim Hegeman, Alexandru Iosup |
| 2016 | EuroPar | Speed-Up Computational Finance Simulations with OpenCL on Intel Xeon Phi. | Michail Papadimitriou, Joris Cramwinckel, Ana Lucia Varbanescu |
| 2016 | EuroPar | Synthetic Graph Generation for Systematic Exploration of Graph Structural Properties. | Merijn Verstraaten, Ana Lucia Varbanescu, Cees de Laat |
| 2016 | FDL | Heterogeneous computing with accelerators: an overview with examples. | Ana Lucia Varbanescu, Jie Shen |
| 2016 | SC | Dynamic Load Balancing for High-Performance Graph Processing on Hybrid CPU-GPU Platforms. | Stijn Heldens, Ana Lucia Varbanescu, Alexandru Iosup |
| 2015 | CCGRID | An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems. | Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup, Dick H. J. Epema |
| 2015 | CCGRID | Improving Application Performance by Efficiently Utilizing Heterogeneous Many-core Platforms. | Jie Shen, Ana Lucia Varbanescu, Henk J. Sips |
| 2015 | EuroPar | FiNS: A Framework for Accelerating Nested Simulations on Heterogeneous Platforms. | Joris Cramwinckel, Stefan Singor, Ana Lucia Varbanescu |
| 2015 | EuroPar | Towards Community Detection on Heterogeneous Platforms. | Stijn Heldens, Ana Lucia Varbanescu, Arnau Prat-Prez, Josep Llus Larriba-Pey |
| 2015 | EuroPar | Quantifying the Performance Impact of Graph Structure on Neighbour Iteration Strategies for PageRank. | Merijn Verstraaten, Ana Lucia Varbanescu, Cees de Laat |
| 2015 | ICPP | Matchmaking Applications and Partitioning Strategies for Efficient Execution on Heterogeneous Platforms. | Jie Shen, Ana Lucia Varbanescu, Xavier Martorell, Henk J. Sips |
| 2014 | ASPLOS | KMA: A Dynamic Memory Manager for OpenCL. | Roy Spliet, Lee W. Howes, Benedict R. Gaster, Ana Lucia Varbanescu |
| 2014 | EuroPar | An Empirical Evaluation of GPGPU Performance Models. | Souley Madougou, Ana Lucia Varbanescu, Cees de Laat, Rob van Nieuwpoort |
| 2014 | HPCC | Optimizing a Calibration Software for Radio Astronomy. | Souley Madougou, Ana Lucia Varbanescu, Rob van Nieuwpoort |
| 2014 | HPCC | Look before You Leap: Using the Right Hardware Resources to Accelerate Applications. | Jie Shen, Ana Lucia Varbanescu, Henk J. Sips |
| 2014 | ICPP | Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels. | Jianbin Fang, Henk J. Sips, Pekka Jskelinen, Ana Lucia Varbanescu |
| 2014 | ICS | Improving performance by matching imbalanced workloads with heterogeneous platforms. | Jie Shen, Ana Lucia Varbanescu, Peng Zou, Yutong Lu, Henk J. Sips |
| 2013 | CCGRID | Sesame: A User-Transparent Optimizing Framework for Many-Core Processors. | Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips |
| 2013 | EuroPar | Topic 9: Parallel and Distributed Programming - (Introduction). | Jos Cunha, Michael Philippsen, Domenico Talia, Ana Lucia Varbanescu |
| 2013 | PDP | ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels. | Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips |
| 2013 | PDP | Performance Traps in OpenCL for CPUs. | Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu |
| 2012 | ICPADS | Accelerating Cost Aggregation for Real-Time Stereo Matching. | Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips, Gorkem Saygili, Laurens van der Maaten |
| 2011 | ICPP | A Comprehensive Performance Comparison of CUDA and OpenCL. | Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips |
| 2011 | ICPP | OCL-BodyScan: A Case Study for Application-centric Programming of Many-Core Processors. | Milos Raskovic, Ana Lucia Varbanescu, Wouter Vlothuizen, Maarten Ditzel, Henk J. Sips |
| 2010 | ISCA | Performance Impact of Task Mapping on the Cell BE Multicore Processor. | Jrg Keller, Ana Lucia Varbanescu |
| 2008 | EuroPar | Radioastronomy Image Synthesis on the Cell/B.E.. | Ana Lucia Varbanescu, Alexander S. van Amesfoort, Tim Cornwell, Andrew Mattingly, Bruce G. Elmegreen, Rob van Nieuwpoort, Ger van Diepen, Henk J. Sips |
| 2007 | ICPP | An Effective Strategy for Porting C++ Applications on Cell. | Ana Lucia Varbanescu, Henk J. Sips, Kenneth A. Ross, Qiang Liu, Lurng-Kuo Liu, Apostol Natsev, John R. Smith |
| 2006 | EuroPar | PAM-SoC: A Toolchain for Predicting MPSoC Performance. | Ana Lucia Varbanescu, Henk J. Sips, Arjan J. C. van Gemund |