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ORCID2. CARLA 2017: Buenos Aires, Argentina / Colonia del Sacramento, Uruguay
- Esteban E. Mocskos
, Sergio Nesmachnow:
High Performance Computing - 4th Latin American Conference, CARLA 2017, Buenos Aires, Argentina, and Colonia del Sacramento, Uruguay, September 20-22, 2017, Revised Selected Papers. Communications in Computer and Information Science 796, Springer 2018, ISBN 978-3-319-73352-4
HPC Infrastructures and Datacenters
- Daniel Nemirovsky, Tugberk Arkose, Nikola Markovic, Mario Nemirovsky, Osman S. Unsal, Adrián Cristal, Mateo Valero:
A Deep Learning Mapper (DLM) for Scheduling on Heterogeneous Systems. 3-20 - Jonathan Muraña, Sergio Nesmachnow, Santiago Iturriaga, Andrei Tchernykh:
Power Consumption Characterization of Synthetic Benchmarks in Multicores. 21-37 - David Vinazza, Alejandro D. Otero, Alejandro Soba, Esteban E. Mocskos:
Initial Experiences from TUPAC Supercomputer. 38-52
HPC Industry and Education
- Arnaud Renard, Jean-Matthieu Etancelin, Michaël Krajecki:
romeoLAB: A High Performance Training Platform for HPC, GPU and DeepLearning. 55-67
GPU, Multicores, Accelerators
- Pablo Carvalho, Lúcia M. A. Drummond, Cristiana Bentes, Esteban Clua, Edson Cataldo, Leandro A. J. Marzulo:
Analysis and Characterization of GPU Benchmarks for Kernel Concurrency Efficiency. 71-86 - Habib Daneshpajouh, Pierre Delisle, Jean-Charles Boisson, Michaël Krajecki, Nordin Zakaria:
Parallel Batch Self-Organizing Map on Graphics Processing Unit Using CUDA. 87-100 - Víctor Martínez, Matheus S. Serpa, Fabrice Dupros, Edson L. Padoin, Philippe Olivier Alexandre Navaux:
Performance Prediction of Acoustic Wave Numerical Kernel on Intel Xeon Phi Processor. 101-110 - José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí:
Evaluating the NVIDIA Tegra Processor as a Low-Power Alternative for Sparse GPU Computations. 111-122
HPC Applications and Tools
- Manuel Aurelio Rodriguez Pascual, José Antonio Moríñigo, Rafael Mayo-García:
Benchmarking Performance: Influence of Task Location on Cluster Throughput. 125-138 - Alejandro Soba:
PRIMULA: A Framework Based on Finite Elements to Address Multi Scale and Multi Physics Problems. 139-153 - Josef Spillner, Cristian Mateos, David A. Monge:
FaaSter, Better, Cheaper: The Prospect of Serverless Scientific Computing and HPC. 154-168 - Cristian Galleguillos, Zeynep Kiziltan, Alessio Netti:
AccaSim: An HPC Simulator for Workload Management. 169-184 - Maximiliano Geier, Esteban E. Mocskos:
SherlockFog: Finding Opportunities for MPI Applications in Fog and Edge Computing. 185-199
Big Data and Data Management
- Otávio Carvalho, Manuel Garcia, Eduardo Roloff, Emmanuell Diaz Carreño, Philippe O. A. Navaux:
IoT Workload Distribution Impact Between Edge and Cloud Computing in a Smart Grid Application. 203-217 - Andrea Sánchez-Tapia, Marinez Ferreira de Siqueira, Rafael Oliveira Lima, Felipe Sodré M. Barros, Guilherme M. Gall, Luiz M. R. Gadelha Jr., Luís Alexandre Estevão da Silva, Carla Osthoff:
Model-R: A Framework for Scalable and Reproducible Ecological Niche Modeling. 218-232
Parallel and Distributed Algorithms
- Alejandro Corbellini, Daniela Godoy, Cristian Mateos, Silvia N. Schiaffino, Alejandro Zunino:
Task Scheduling for Processing Big Graphs in Heterogeneous Commodity Clusters. 235-249 - Esteban Meneses:
Exploring Application-Level Message-Logging in Scalable HPC Programs. 250-254 - Lucia Damiani, Ariel Ivan Diaz, Javier Iparraguirre, Aníbal M. Blanco:
Accelerated Numerical Optimization with Explicit Consideration of Model Constraints. 255-261 - Leonardo Piñeyro, Sergio Nesmachnow:
Parallel Processing of Intra-cranial Electroencephalogram Readings on Distributed Memory Systems. 262-276 - Renzo Massobrio, Sergio Nesmachnow, Bernabé Dorronsoro:
Support Vector Machine Acceleration for Intel Xeon Phi Manycore Processors. 277-290 - Néstor Rocchetti, Daniel Frascarelli, Sergio Nesmachnow, Gonzalo Tancredi:
Performance Improvements of a Parallel Multithreading Self-gravity Algorithm. 291-306 - Diego S. Carrasco, Pablo Cappagli, Flavio D. Colavecchia:
A Fast GPU Convolution/Superposition Method for Radiotherapy Dose Calculation. 307-318
Grid, Cloud and Federations
- Leonardo Araújo de Jesus, Lúcia M. A. Drummond, Daniel de Oliveira:
Eeny Meeny Miny Moe: Choosing the Fault Tolerance Technique for my Cloud Workflow. 321-336 - Santiago Iturriaga, Sergio Nesmachnow:
Energy Aware Multiobjective Scheduling in a Federation of Heterogeneous Datacenters. 337-352 - Yisel Gari, David A. Monge, Cristian Mateos, Carlos García Garino:
Markov Decision Process to Dynamically Adapt Spots Instances Ratio on the Autoscaling of Scientific Workflows in the Cloud. 353-369 - Vanessa Miranda-López, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko, Sergio Nesmachnow, Zhihui Du:
Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS. 370-383 - Luis-Angel Galaviz-Alejos, Fermin-Alberto Armenta-Cano, Andrei Tchernykh, Gleb I. Radchenko, Alexander Yu. Drozdov, Oleg Sergiyenko, Ramin Yahyapour:
Bi-objective Heterogeneous Consolidation in Cloud Computing. 384-398 - Jaime Chavarriaga, César A. Forero-González, Jesse Padilla-Agudelo, Andrés Muñoz, Rodolfo Cáliz-Ospino, Harold Castro:
Scaling the Deployment of Virtual Machines in UnaCloud. 399-413 - Germán Schnyder, Sergio Nesmachnow, Gonzalo Tancredi:
Distributed Cosmic Ray Detection Using Cloud Computing. 414-429
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