Alfredo Giménez

According to our database, Alfredo Giménez authored at least 14 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Artemis: Automatic Runtime Tuning of Parallel Execution Parameters Using Machine Learning.

Chad Wood, Giorgis Georgakoudis, David Beckingsale, David Poliakoff, Alfredo Giménez, Kevin A. Huck, Allen D. Malony, Todd Gamblin

Proceedings of the High Performance Computing - 36th International Conference, 2021

2018

MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors.

Alfredo Giménez, Todd Gamblin, Ilir Jusufi, Abhinav Bhatele, Martin Schulz, Peer-Timo Bremer, Bernd Hamann

IEEE Trans. Vis. Comput. Graph., 2018

Bootstrapping Parameter Space Exploration for Fast Tuning.

Jayaraman J. Thiagarajan, Nikhil Jain, Rushil Anirudh, Alfredo Giménez, Rahul Sridhar, Aniruddha Marathe, Tao Wang, Murali Emani, Abhinav Bhatele, Todd Gamblin

Proceedings of the 32nd International Conference on Supercomputing, 2018

2017

Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE.

Chad Wood, Matthew Larsen, Alfredo Giménez, Kevin A. Huck, Cyrus Harrison, Todd Gamblin, Allen D. Malony

Proceedings of the Programming and Performance Visualization Tools, 2017

ScrubJay: deriving knowledge from the disarray of HPC performance data.

Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz

Proceedings of the International Conference for High Performance Computing, 2017

DR-BW: Identifying Bandwidth Contention in NUMA Architectures with Supervised Learning.

Hao Xu, Shasha Wen, Alfredo Giménez, Todd Gamblin, Xu Liu

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016

A Scalable Observation System for Introspection and In Situ Analytics.

Chad Wood, Sudhanshu Sane, Daniel A. Ellsworth, Alfredo Giménez, Kevin A. Huck, Todd Gamblin, Allen D. Malony

Proceedings of the 5th Workshop on Extreme-Scale Programming Tools, 2016

Caliper: performance introspection for HPC software stacks.

David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz

Proceedings of the International Conference for High Performance Computing, 2016

2015

Relating memory performance data to application domain data using an integration API.

Benafsh Husain, Alfredo Giménez, Joshua A. Levine, Todd Gamblin, Peer-Timo Bremer

Proceedings of the 2nd Workshop on Visual Performance Analysis, 2015

2014

Curvature-Based Crease Surfaces for Wave Visualization.

Garrett Aldrich, Alfredo Giménez, Michael Oskin, Richard Strelitz, Jonathan Woodring, Louise H. Kellogg, Bernd Hamann

Proceedings of the 19th International Workshop on Vision, Modeling, and Visualization, 2014

State of the Art of Performance Visualization.

Katherine E. Isaacs, Alfredo Giménez, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer

Proceedings of the 16th Eurographics Conference on Visualization, 2014

Dissecting On-Node Memory Access Performance: A Semantic Approach.

Alfredo Giménez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Peer-Timo Bremer, Bernd Hamann

Proceedings of the International Conference for High Performance Computing, 2014

2011

A flexible low-complexity device adaptation approach for data presentation.

René Rosenbaum, Alfredo Giménez, Heidrun Schumann, Bernd Hamann

Proceedings of the Visualization and Data Analysis 2011, 2011

2010

Using R-Trees for Interactive Visualization of Large Multidimensional Datasets.

Alfredo Giménez, René Rosenbaum, Mario Hlawitschka, Bernd Hamann

Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010