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Ana Lucia Varbanescu
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- affiliation: University of Twente, Enschede, The Netherlands
- affiliation: Delft University of Technology, The Netherlands
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2020 – today
- 2024
- [c89]Saeedeh Baneshi, Anuj Pathania, Benny Akesson, Andy D. Pimentel, Ana Lucia Varbanescu:
Analyzing Per-Application Energy Consumption in a Multi-Application Computing Continuum. FMEC 2024: 30-37 - [c88]Uraz Odyurt
, Stephen Nicholas Swatman
Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research. ICCS (2) 2024: 84-99 - [c87]Pooya Khandel
Distillation vs. Sampling for Efficient Training of Learning to Rank Models. ICTIR 2024: 51-60 - [c86]Jolly Chen
Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame. IWOCL 2024: 11:1-11:2 - [c85]Stephen Nicholas Swatman
Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays. ICPE 2024: 83-94 - [c84]Alexandru Iosup
GraphSys-2024: 2nd Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems. ICPE (Companion) 2024: 95-96 - [e10]Kenji Kise, Valentina Salapura, Murali Annavaram, Ana Lucia Varbanescu:
Proceedings of the 38th ACM International Conference on Supercomputing, ICS 2024, Kyoto, Japan, June 4-7, 2024. ACM 2024 [contents] - [i10]Jolly Chen, Monica Dessole, Ana Lucia Varbanescu:
Lessons Learned Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame. CoRR abs/2401.13310 (2024) - [i9]Felix Brakel, Uraz Odyurt, Ana Lucia Varbanescu:
Model Parallelism on Distributed Infrastructure: A Literature Review from Theory to LLM Case-Studies. CoRR abs/2403.03699 (2024) - [i8]Uraz Odyurt, Nadezhda Dobreva, Zef Wolffs, Yue Zhao, Antonio Ferrer-Sánchez, Roberto Ruiz de Austri Bazan, José D. Martín-Guerrero, Ana Lucia Varbanescu, Sascha Caron:
Novel Approaches for ML-Assisted Particle Track Reconstruction and Hit Clustering. CoRR abs/2405.17325 (2024) - 2023
- [c83]Martin Molan
The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. COMPSAC 2023: 1459-1464 - [c82]Skip Thijssen
MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training. Euro-Par Workshops (1) 2023: 232-245 - [c81]Saeedeh Baneshi, Ana Lucia Varbanescu, Anuj Pathania, Benny Akesson, Andy D. Pimentel:
Analyzing Digital Services Across the Compute Continuum Using iFogSim. RTCSA 2023: 279-280 - [c80]Ana Lucia Varbanescu
Performance Engineering for Graduate Students: a View from Amsterdam. SC Workshops 2023: 357-365 - [c79]Saeedeh Baneshi, Ana Lucia Varbanescu, Anuj Pathania, Benny Akesson, Andy D. Pimentel
Estimating the Energy Consumption of Applications in the Computing Continuum with iFogSim. ISC Workshops 2023: 234-249 - [c78]Stephen Nicholas Swatman
Systematically Exploring High-Performance Representations of Vector Fields Through Compile-Time Composition. ICPE 2023: 55-66 - [c77]Alexandru Iosup, Radu Prodan, Ana Lucia Varbanescu, Sacheendra Talluri, Gilles Magalhaes, Kailhan Hokstam, Hugo Zwaan, Vincent van Beek, Reza Farahani, Dragi Kimovski
Graph Greenifier: Towards Sustainable and Energy-Aware Massive Graph Processing in the Computing Continuum. ICPE (Companion) 2023: 209-214 - [c76]Ana Lucia Varbanescu
Graph-Optimizer: Towards Predictable Large-Scale Graph Processing Workloads. ICPE (Companion) 2023: 255-256 - [e9]Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0119-9 [contents] - [e8]Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023 - Workshops, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0208-0 [contents] - [i7]Uraz Odyurt, Stephen Nicholas Swatman, Ana Lucia Varbanescu, Sascha Caron:
Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research. CoRR abs/2309.03780 (2023) - [i6]Stephen Nicholas Swatman, Ana Lucia Varbanescu, Andy D. Pimentel
Finding Morton-Like Layouts for Multi-Dimensional Arrays Using Evolutionary Algorithms. CoRR abs/2309.07002 (2023) - 2022
- [c75]Dante Niewenhuis
Efficient trimming for strongly connected components calculation. CF 2022: 131-140 - [c74]Tristan Laan
Heterogeneous GPU and FPGA computing: a VexCL case-study. IPDPS Workshops 2022: 382-390 - [c73]Ate Penders
Design-Space Exploration for Decision-Support Software. ASE 2022: 134:1-134:6 - [c72]Stephen Nicholas Swatman
Modelling Performance Loss due to Thread Imbalance in Stochastic Variable-Length SIMT Workloads. MASCOTS 2022: 137-144 - [c71]Jelle van Dijk
Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations. PPAM (1) 2022: 183-196 - [c70]Rico van Stigt, Stephen Nicholas Swatman
Isolating GPU Architectural Features Using Parallelism-Aware Microbenchmarks. ICPE 2022: 77-88 - [c69]Danilo de Goede, Duncan Kampert, Ana Lucia Varbanescu:
The Cost of Reinforcement Learning for Game Engines: The AZ-Hive Case-study. ICPE 2022: 145-152 - [c68]Pooya Khandel, Ilya Markov, Andrew Yates, Ana Lucia Varbanescu:
ParClick: A Scalable Algorithm for EM-based Click Models. WWW 2022: 392-400 - [e7]Ana Lucia Varbanescu
High Performance Computing - 37th International Conference, ISC High Performance 2022, Hamburg, Germany, May 29 - June 2, 2022, Proceedings. Lecture Notes in Computer Science 13289, Springer 2022, ISBN 978-3-031-07311-3 [contents] - [i5]Alexandru Iosup, Fernando Kuipers, Ana Lucia Varbanescu, Paola Grosso, Animesh Trivedi, Jan S. Rellermeyer
Future Computer Systems and Networking Research in the Netherlands: A Manifesto. CoRR abs/2206.03259 (2022) - 2021
- [j13]Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava
The future is big graphs: a community view on graph processing systems. Commun. ACM 64(9): 62-71 (2021) - [j12]Ryota Yasudo, José Gabriel de Figueiredo Coutinho, Ana Lucia Varbanescu, Wayne Luk, Hideharu Amano, Tobias Becker, Ce Guo:
Analytical Performance Estimation for Large-Scale Reconfigurable Dataflow Platforms. ACM Trans. Reconfigurable Technol. Syst. 14(3): 12:1-12:21 (2021) - [c67]Duncan Kampert, Ana Lucia Varbanescu, Matthias Müller-Brockhausen, Aske Plaat:
Mimicking the Human Approach in the Game of Hive. SSCI 2021: 1-8 - [e6]Bradford L. Chamberlain
High Performance Computing - 36th International Conference, ISC High Performance 2021, Virtual Event, June 24 - July 2, 2021, Proceedings. Lecture Notes in Computer Science 12728, Springer 2021, ISBN 978-3-030-78712-7 [contents] - [e5]Johann Bourcier, Zhen Ming (Jack) Jiang, Cor-Paul Bezemer, Vittorio Cortellessa, Daniele Di Pompeo, Ana Lucia Varbanescu:
ICPE '21: ACM/SPEC International Conference on Performance Engineering, Virtual Event, France, April 19-21, 2021. ACM 2021, ISBN 978-1-4503-8194-9 [contents] - [e4]Johann Bourcier, Zhen Ming (Jack) Jiang, Cor-Paul Bezemer, Vittorio Cortellessa, Daniele Di Pompeo, Ana Lucia Varbanescu:
ICPE '21: ACM/SPEC International Conference on Performance Engineering, Virtual Event, France, April 19-21, 2021, Companion Volume. ACM 2021, ISBN 978-1-4503-8331-8 [contents] - 2020
- [j11]Giulio Stramondo
Designing and building application-centric parallel memories. Concurr. Comput. Pract. Exp. 32(15) (2020) - [c66]Giulio Stramondo, Manil Dev Gomony
μ-Genie: A Framework for Memory-Aware Spatial Processor Architecture Co-Design Exploration. DSD 2020: 180-184 - [c65]Matthijs Jansen, Valeriu Codreanu, Ana Lucia Varbanescu:
DDLBench: Towards a Scalable Benchmarking Infrastructure for Distributed Deep Learning. DLS@SC 2020: 31-39 - [c64]Ahmed Musaafir, Alexandru Uta
A Sampling-Based Tool for Scaling Graph Datasets. ICPE 2020: 289-300 - [i4]Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava
The Future is Big Graphs! A Community View on Graph Processing Systems. CoRR abs/2012.06171 (2020)
2010 – 2019
- 2019
- [j10]Alexandar P. Mechev
Scalability model for the LOFAR direction independent pipeline. Astron. Comput. 28: 100293 (2019) - 2018
- [c63]Alexandru Uta, Ana Lucia Varbanescu, Ahmed Musaafir, Chris Lemaire, Alexandru Iosup:
Exploring HPC and Big Data Convergence: A Graph Processing Study on Intel Knights Landing. CLUSTER 2018: 66-77 - [c62]Giulio Stramondo, Catalin Bogdan Ciobanu
Towards Application-Centric Parallel Memories. Euro-Par Workshops 2018: 481-493 - [c61]Ryota Yasudo
Performance Prediction for Large-Scale Heterogeneous Platforms. FCCM 2018: 220 - [c60]Ryota Yasudo
Performance Estimation for Exascale Reconfigurable Dataflow Platforms. FPT 2018: 314-317 - [c59]Catalin Bogdan Ciobanu
MAX-PolyMem: High-Bandwidth Polymorphic Parallel Memories for DFEs. IPDPS Workshops 2018: 107-114 - [c58]Catalin Bogdan Ciobanu
EXTRA: an open platform for reconfigurable architectures. SAMOS 2018: 220-229 - [c57]Merijn Verstraaten, Ana Lucia Varbanescu, Cees de Laat:
Mix-and-Match: A Model-Driven Runtime Optimisation Strategy for BFS on GPUs. IA3@SC 2018: 53-60 - [c56]Henk Dreuning, Roel Heirman, Ana Lucia Varbanescu:
A Beginner's Guide to Estimating and Improving Performance Portability. ISC Workshops 2018: 724-742 - [c55]Luca Stornaiuolo, Marco Rabozzi, Marco D. Santambrogio, Donatella Sciuto, Catalin Bogdan Ciobanu
Building High-Performance, Easy-to-Use Polymorphic Parallel Memories with HLS. VLSI-SoC (Selected Papers) 2018: 53-78 - [c54]Luca Stornaiuolo, Marco Rabozzi, Donatella Sciuto, Marco D. Santambrogio, Giulio Stramondo, Catalin Bogdan Ciobanu
HLS Support for Polymorphic Parallel Memories. VLSI-SoC 2018: 143-148 - 2017
- [c53]Amit Kulkarni, Poona Bahrebar, Dirk Stroobandt, Giulio Stramondo, Catalin Bogdan Ciobanu
A NoC-based custom FPGA configuration memory architecture for ultra-fast micro-reconfiguration. FPT 2017: 203-206 - [c52]Ate Penders, Ana Lucia Varbanescu, Gregor Pavlin, Henk J. Sips:
A Performance-centric Approach for Complex Decision Support. ICPE 2017: 179-187 - [e3]Frédéric Desprez, Pierre-François Dutot, Christos Kaklamanis, Loris Marchal
Euro-Par 2016: Parallel Processing Workshops - Euro-Par 2016 International Workshops, Grenoble, France, August 24-26, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10104, Springer 2017, ISBN 978-3-319-58942-8 [contents] - [i3]Merijn Verstraaten, Ana Lucia Varbanescu, Cees de Laat:
Using Graph Properties to Speed-up GPU-based Graph Traversal: A Model-driven Approach. CoRR abs/1708.01159 (2017) - 2016
- [j9]Souley Madougou
The landscape of GPGPU performance modeling tools. Parallel Comput. 56: 18-33 (2016) - [j8]Jie Shen, Ana Lucia Varbanescu, Yutong Lu, Peng Zou, Henk J. Sips:
Workload Partitioning for Accelerating Applications on Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. 27(9): 2766-2780 (2016) - [c51]Yong Guo, Ana Lucia Varbanescu, Dick H. J. Epema, Alexandru Iosup
Design and Experimental Evaluation of Distributed Heterogeneous Graph-Processing Systems. CCGrid 2016: 203-212 - [c50]Souley Madougou, Ana Lucia Varbanescu, Cees de Laat:
Using colored petri nets for GPGPU performance modeling. Conf. Computing Frontiers 2016: 240-249 - [c49]Michail Papadimitriou, Joris Cramwinckel, Ana Lucia Varbanescu:
Speed-Up Computational Finance Simulations with OpenCL on Intel Xeon Phi. Euro-Par Workshops 2016: 199-208 - [c48]Merijn Verstraaten, Ana Lucia Varbanescu, Cees de Laat:
Synthetic Graph Generation for Systematic Exploration of Graph Structural Properties. Euro-Par Workshops 2016: 557-570 - [c47]Stijn Heldens, Ana Lucia Varbanescu, Wing Lung Ngai, Tim Hegeman, Alexandru Iosup:
Towards the Next Generation of Large-Scale Network Archives. Euro-Par Workshops 2016: 571-579 - [c46]Ana Lucia Varbanescu, Jie Shen:
Heterogeneous computing with accelerators: an overview with examples. FDL 2016: 1-8 - [c45]Souley Madougou, Ana Lucia Varbanescu, Cees de Laat, Rob van Nieuwpoort
A Tool for Bottleneck Analysis and Performance Prediction for GPU-Accelerated Applications. IPDPS Workshops 2016: 641-652 - [c44]Dirk Stroobandt, Ana Lucia Varbanescu, Catalin Bogdan Ciobanu
EXTRA: Towards the exploitation of eXascale technology for reconfigurable architectures. ReCoSoC 2016: 1-7 - [c43]Stijn Heldens
Dynamic Load Balancing for High-Performance Graph Processing on Hybrid CPU-GPU Platforms. IA3@SC 2016: 62-65 - 2015
- [j7]Jianbin Fang
Evaluating vector data type usage in OpenCL kernels. Concurr. Comput. Pract. Exp. 27(17): 4586-4602 (2015) - [c42]Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup
An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems. CCGRID 2015: 423-432 - [c41]Jie Shen, Ana Lucia Varbanescu, Henk J. Sips:
Improving Application Performance by Efficiently Utilizing Heterogeneous Many-core Platforms. CCGRID 2015: 709-712 - [c40]Marc X. Makkes
Fast packet forwarding engine based on software circuits. Conf. Computing Frontiers 2015: 28:1-28:8 - [c39]Catalin Bogdan Ciobanu
EXTRA: Towards an Efficient Open Platform for Reconfigurable High Performance Computing. CSE 2015: 339-342 - [c38]Stijn Heldens, Ana Lucia Varbanescu, Arnau Prat-Pérez, Josep Lluís Larriba-Pey:
Towards Community Detection on Heterogeneous Platforms. Euro-Par Workshops 2015: 209-220 - [c37]Joris Cramwinckel, Stefan Singor, Ana Lucia Varbanescu:
FiNS: A Framework for Accelerating Nested Simulations on Heterogeneous Platforms. Euro-Par Workshops 2015: 246-257 - [c36]Merijn Verstraaten, Ana Lucia Varbanescu, Cees de Laat:
Quantifying the Performance Impact of Graph Structure on Neighbour Iteration Strategies for PageRank. Euro-Par Workshops 2015: 528-540 - [c35]Jie Shen, Ana Lucia Varbanescu, Xavier Martorell
Matchmaking Applications and Partitioning Strategies for Efficient Execution on Heterogeneous Platforms. ICPP 2015: 560-569 - [c34]Nishant Saurabh
Computing the Pseudo-Inverse of a Graph's Laplacian Using GPUs. IPDPS Workshops 2015: 265-274 - [c33]Ana Lucia Varbanescu, Merijn Verstraaten, Cees de Laat, Ate Penders, Alexandru Iosup
Can Portability Improve Performance?: An Empirical Study of Parallel Graph Analytics. ICPE 2015: 277-287 - [e2]Sascha Hunold, Alexandru Costan, Domingo Giménez, Alexandru Iosup, Laura Ricci
Euro-Par 2015: Parallel Processing Workshops - Euro-Par 2015 International Workshops, Vienna, Austria, August 24-25, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9523, Springer 2015, ISBN 978-3-319-27307-5 [contents] - 2014
- [j6]Jianbin Fang
Aristotle: A performance impact indicator for the OpenCL kernels using local memory. Sci. Program. 22(3): 239-257 (2014) - [j5]Fabio Luporini, Ana Lucia Varbanescu, Florian Rathgeber
Cross-Loop Optimization of Arithmetic Intensity for Finite Element Local Assembly. ACM Trans. Archit. Code Optim. 11(4): 57:1-57:25 (2014) - [c32]Roy Spliet, Lee W. Howes, Benedict R. Gaster, Ana Lucia Varbanescu:
KMA: A Dynamic Memory Manager for OpenCL. GPGPU@ASPLOS 2014: 9 - [c31]Souley Madougou, Ana Lucia Varbanescu, Cees de Laat, Rob van Nieuwpoort
An Empirical Evaluation of GPGPU Performance Models. Euro-Par Workshops (1) 2014: 165-176 - [c30]Jie Shen, Ana Lucia Varbanescu, Henk J. Sips:
Look before You Leap: Using the Right Hardware Resources to Accelerate Applications. HPCC/CSS/ICESS 2014: 383-391 - [c29]Souley Madougou, Ana Lucia Varbanescu, Rob van Nieuwpoort
Optimizing a Calibration Software for Radio Astronomy. HPCC/CSS/ICESS 2014: 1158-1165 - [c28]Jianbin Fang
Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels. ICPP 2014: 162-171 - [c27]Jie Shen, Ana Lucia Varbanescu, Peng Zou, Yutong Lu, Henk J. Sips:
Improving performance by matching imbalanced workloads with heterogeneous platforms. ICS 2014: 241-250 - [c26]Yong Guo, Marcin Biczak, Ana Lucia Varbanescu, Alexandru Iosup
How Well Do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis. IPDPS 2014: 395-404 - [c25]Jianbin Fang, Ana Lucia Varbanescu, Baldomero Imbernon, José M. Cecilia, Horacio Emilio Pérez Sánchez:
Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi. IWBBIO 2014: 579-588 - [c24]Alexandru Iosup
Towards Benchmarking IaaS and PaaS Clouds for Graph Analytics. WBDB 2014: 109-131 - [c23]Jianbin Fang
Test-driving Intel Xeon Phi. ICPE 2014: 137-148 - [c22]Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup
Benchmarking graph-processing platforms: a vision. ICPE 2014: 289-292 - [i2]Fabio Luporini, Ana Lucia Varbanescu, Florian Rathgeber, Gheorghe-Teodor Bercea, J. Ramanujam, David A. Ham, Paul H. J. Kelly:
COFFEE: an Optimizing Compiler for Finite Element Local Assembly. CoRR abs/1407.0904 (2014) - 2013
- [j4]Jie Shen, Jianbin Fang
An application-centric evaluation of OpenCL on multi-core CPUs. Parallel Comput. 39(12): 834-850 (2013) - [c21]Jianbin Fang
Sesame: A User-Transparent Optimizing Framework for Many-Core Processors. CCGRID 2013: 70-73 - [c20]Jie Shen, Ana Lucia Varbanescu, Henk J. Sips, Michael Arntzen, Dick G. Simons:
Glinda: a framework for accelerating imbalanced applications on heterogeneous platforms. Conf. Computing Frontiers 2013: 14:1-14:10 - [c19]José Cunha, Michael Philippsen
Topic 9: Parallel and Distributed Programming - (Introduction). Euro-Par 2013: 432-433 - [c18]Jie Shen, Jianbin Fang
Performance Traps in OpenCL for CPUs. PDP 2013: 38-45 - [c17]Jianbin Fang
ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels. PDP 2013: 375-383 - [i1]Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips, Lilun Zhang, Yonggang Che, Chuanfu Xu:
An Empirical Study of Intel Xeon Phi. CoRR abs/1310.5842 (2013) - 2012
- [j3]Alexander S. van Amesfoort, Ana Lucia Varbanescu, Henk J. Sips:
Parallel application characterization with quantitative metrics. Concurr. Comput. Pract. Exp. 24(5): 445-462 (2012) - [c16]Jianbin Fang
Accelerating Cost Aggregation for Real-Time Stereo Matching. ICPADS 2012: 472-481 - [c15]Jie Shen, Jianbin Fang
Performance Gaps between OpenMP and OpenCL for Multi-core CPUs. ICPP Workshops 2012: 116-125 - [c14]Alessio Sclocco
Radio Astronomy Beam Forming on Many-Core Architectures. IPDPS 2012: 1105-1116 - [e1]Ana Lucia Varbanescu, Anca Mariana Molnos, Rob van Nieuwpoort
Computer Architecture - ISCA 2010 International Workshops A4MMC, AMAS-BT, EAMA, WEED, WIOSCA, Saint-Malo, France, June 19-23, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6161, Springer 2012, ISBN 978-3-642-24321-9 [contents] - 2011
- [c13]Jianbin Fang
An Auto-tuning Solution to Data Streams Clustering in OpenCL. CSE 2011: 587-594 - [c12]Jianbin Fang
A Comprehensive Performance Comparison of CUDA and OpenCL. ICPP 2011: 216-225 - [c11]Milos Raskovic, Ana Lucia Varbanescu, Wouter Vlothuizen, Maarten Ditzel, Henk J. Sips:
OCL-BodyScan: A Case Study for Application-centric Programming of Many-Core Processors. ICPP 2011: 542-551 - [c10]Ana Lucia Varbanescu, Pieter Hijma, Rob van Nieuwpoort
Towards an Effective Unified Programming Model for Many-Cores. IPDPS Workshops 2011: 681-692 - 2010
- [b1]Ana Lucia Varbanescu:
On the effective parallel programming of multi-core processors. Delft University of Technology, Netherlands, 2010 - [c9]Jörg Keller, Ana Lucia Varbanescu:
Performance Impact of Task Mapping on the Cell BE Multicore Processor. ISCA Workshops 2010: 13-23
2000 – 2009
- 2009
- [j2]Ana Lucia Varbanescu, Henk J. Sips, Kenneth A. Ross, Qiang Liu, Apostol Natsev, John R. Smith, Lurng-Kuo Liu:
Evaluating application mapping scenarios on the Cell/B.E. Concurr. Comput. Pract. Exp. 21(1): 85-100 (2009) - [j1]Ana Lucia Varbanescu, Alexander S. van Amesfoort, Tim Cornwell, Ger van Diepen, Rob van Nieuwpoort
Building high-resolution sky images using the Cell/B.E. Sci. Program. 17(1-2): 113-134 (2009) - [c8]Alexander S. van Amesfoort, Ana Lucia Varbanescu, Henk J. Sips, Rob van Nieuwpoort
Evaluating multi-core platforms for HPC data-intensive kernels. Conf. Computing Frontiers 2009: 207-216 - [c7]Ed F. Deprettere, Ana Lucia Varbanescu:
Introduction to Mastering Cell BE and GPU Execution Platforms. SAMOS 2009: 275-276 - 2008
- [c6]Ana Lucia Varbanescu, Alexander S. van Amesfoort, Tim Cornwell, Andrew Mattingly, Bruce G. Elmegreen, Rob van Nieuwpoort
Radioastronomy Image Synthesis on the Cell/B.E.. Euro-Par 2008: 749-762 - 2007
- [c5]Lurng-Kuo Liu, Qiang Liu, Apostol Natsev, Kenneth A. Ross, John R. Smith, Ana Lucia Varbanescu:
Digital Media Indexing on the Cell Processor. ICME 2007: 1866-1869 - [c4]Ana Lucia Varbanescu, Henk J. Sips, Kenneth A. Ross, Qiang Liu, Lurng-Kuo Liu, Apostol Natsev, John R. Smith:
An Effective Strategy for Porting C++ Applications on Cell. ICPP 2007: 59 - [c3]Fabrizio Petrini, Gordon C. Fossum, Juan Fernández, Ana Lucia Varbanescu, Michael Kistler, Michael Perrone:
Multicore Surprises: Lessons Learned from Optimizing Sweep3D on the Cell Broadband Engine. IPDPS 2007: 1-10 - 2006
- [c2]Ana Lucia Varbanescu, Henk J. Sips, Arjan J. C. van Gemund:
PAM-SoC: A Toolchain for Predicting MPSoC Performance. Euro-Par 2006: 111-123 - [c1]Ana Lucia Varbanescu, Maik Nijhuis, Arturo González-Escribano
SP@CE - An SP-Based Programming Model for Consumer Electronics Streaming Applications. LCPC 2006: 33-48
Coauthor Index
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