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Ana Lucia Varbanescu
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A comprehensive performance comparison of CUDA and OpenCL
J Fang, AL Varbanescu, H Sips
2011 International Conference on Parallel Processing, 216-225, 2011
4172011
How well do graph-processing platforms perform? an empirical performance evaluation and analysis
Y Guo, M Biczak, AL Varbanescu, A Iosup, C Martella, TL Willke
2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014
1392014
Multicore surprises: Lessons learned from optimizing Sweep3D on the Cell Broadband Engine
F Petrini, G Fossum, J Fernández, AL Varbanescu, M Kistler, M Perrone
2007 IEEE International Parallel and Distributed Processing Symposium, 1-10, 2007
1332007
Test-driving intel xeon phi
J Fang, H Sips, L Zhang, C Xu, Y Che, AL Varbanescu
Proceedings of the 5th ACM/SPEC international conference on Performance …, 2014
1222014
Cross-loop optimization of arithmetic intensity for finite element local assembly
F Luporini, AL Varbanescu, F Rathgeber, GT Bercea, J Ramanujam, ...
ACM Transactions on Architecture and Code Optimization (TACO) 11 (4), 1-25, 2015
752015
Performance gaps between OpenMP and OpenCL for multi-core CPUs
J Shen, J Fang, H Sips, AL Varbanescu
2012 41st International Conference on Parallel Processing Workshops, 116-125, 2012
722012
An empirical study of intel xeon phi
J Fang, AL Varbanescu, H Sips, L Zhang, Y Che, C Xu
arXiv preprint arXiv:1310.5842, 2013
602013
An application-centric evaluation of OpenCL on multi-core CPUs
J Shen, J Fang, H Sips, AL Varbanescu
Parallel Computing 39 (12), 834-850, 2013
552013
Performance traps in OpenCL for CPUs
J Shen, J Fang, H Sips, AL Varbanescu
2013 21st Euromicro International Conference on Parallel, Distributed, and …, 2013
552013
A survey of parallel graph processing frameworks
N Doekemeijer, AL Varbanescu
Delft University of Technology 21, 5, 2014
532014
Benchmarking graph-processing platforms: a vision
Y Guo, AL Varbanescu, A Iosup, C Martella, TL Willke
Proceedings of the 5th ACM/SPEC international conference on Performance …, 2014
452014
Workload partitioning for accelerating applications on heterogeneous platforms
J Shen, AL Varbanescu, Y Lu, P Zou, H Sips
IEEE Transactions on Parallel and Distributed Systems 27 (9), 2766-2780, 2015
432015
The future is big graphs: a community view on graph processing systems
S Sakr, A Bonifati, H Voigt, A Iosup, K Ammar, R Angles, W Aref, M Arenas, ...
Communications of the ACM 64 (9), 62-71, 2021
392021
Glinda: A framework for accelerating imbalanced applications on heterogeneous platforms
J Shen, AL Varbanescu, H Sips, M Arntzen, DG Simons
Proceedings of the ACM International Conference on Computing Frontiers, 1-10, 2013
382013
Evaluating multi-core platforms for HPC data-intensive kernels
AS van Amesfoort, AL Varbanescu, HJ Sips, RV Van Nieuwpoort
Proceedings of the 6th ACM conference on Computing frontiers, 207-216, 2009
372009
The landscape of GPGPU performance modeling tools
S Madougou, A Varbanescu, C de Laat, R van Nieuwpoort
Parallel Computing 56, 18-33, 2016
332016
Improving performance by matching imbalanced workloads with heterogeneous platforms
J Shen, AL Varbanescu, P Zou, Y Lu, H Sips
Proceedings of the 28th ACM international conference on Supercomputing, 241-250, 2014
302014
Benchmarking intel xeon phi to guide kernel design
J Fang, AL Varbanescu, H Sips, L Zhang, Y Che, C Xu
292013
An empirical performance evaluation of gpu-enabled graph-processing systems
Y Guo, AL Varbanescu, A Iosup, D Epema
2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015
272015
A polyphase filter for GPUs and multi-core processors
K van der Veldt, R van Nieuwpoort, AL Varbanescu, C Jesshope
Proceedings of the 2012 workshop on High-Performance Computing for Astronomy …, 2012
242012
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Articles 1–20