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ORCID29th PDP 2021: Valladolid, Spain
- 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2021, Valladolid, Spain, March 10-12, 2021. IEEE 2021, ISBN 978-1-6654-1455-5
- Diana Carrizales-Espinoza
, Dante D. Sánchez-Gallegos, José Luis González Compeán, Jesús Carretero:
A Federated Content Distribution System to Build Health Data Synchronization Services. 1-8 - Thanh-Dang Diep, Karl Fürlinger:
Nonblocking Data Structures for Distributed-Memory Machines: Stacks as an Example. 9-17 - Kai-Hsun Chen, Hsin-Yuan Chen, Chien-Min Wang:
Bucket MapReduce: Relieving the Disk I/O Intensity of Data-Intensive Applications in MapReduce Frameworks. 18-25 - Yuichi Tsujita, Atsuya Uno, Ryuichi Sekizawa, Keiji Yamamoto, Fumichika Sueyasu:
Job Classification Through Long-Term Log Analysis Towards Power-Aware HPC System Operation. 26-34 - Hemalatha Eedi, Sathya Peri, Neha Ranabothu, Rahul Utkoor:
An Efficient Practical Non-Blocking PageRank Algorithm for Large Scale Graphs. 35-43 - Yung-Chen Chen, Pangfeng Liu, Jan-Jan Wu:
Parallel Asynchronous Stochastic Dual Coordinate Descent Algorithms for High Efficiency and Stable Convergence. 44-53 - Paul Breugnot, Bénédicte Herrmann, Christophe Lang, Laurent Philippe:
A Synchronized and Dynamic Distributed Graph structure to allow the native distribution of Multi-Agent System simulations. 54-61 - Arthur Baudet, Oum-El-Kheir Aktouf, Annabelle Mercier, Jean-Paul Jamont:
A Case Study of Run-Time Testing of Self Organizations in Multi-Embedded-Agent Systems. 62-66 - Jordi Alcaraz, Steven Sleder, Ali Tehrani Jamsaz, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César:
Building representative and balanced datasets of OpenMP parallel regions. 67-74 - Maria Angélica Dávila-Guzmán, Ruben Gran Tejero, María Villarroya-Gaudó, Darío Suárez Gracia, Lester Kalms, Diana Göhringer:
A Cross-Platform OpenVX Library for FPGA Accelerators. 75-83 - Adriano Marques Garcia, Dalvan Griebler, Luiz G. L. Fernandes, Claudio Schepke:
Introducing a Stream Processing Framework for Assessing Parallel Programming Interfaces. 84-88 - Adriano Vogel, Gabriele Mencagli, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Towards On-the-fly Self-Adaptation of Stream Parallel Patterns. 89-93 - Victor Cook, Christina L. Peterson, Zachary Painter, Damian Dechev:
Quantifiability: Correctness of Concurrent Programs in Vector Space. 94-98 - Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato:
Performance Modeling for Distributed Training of Convolutional Neural Networks. 99-108 - Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato:
Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks. 109-116 - Saúl Alonso-Monsalve, Alejandro Calderón, Félix García Carballeira, José Rivadeneira:
Analyzing the distributed training of deep-learning models via data locality. 117-121 - Pau San Juan, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí:
High Performance and Energy Efficient Integer Matrix Multiplication for Deep Learning. 122-125 - Matthew Naylor, Simon W. Moore, David B. Thomas, Jonathan R. Beaumont, Shane T. Fleming, Mark Vousden, A. Theodore Markettos, Thomas Bytheway, Andrew D. Brown:
General hardware multicasting for fine-grained message-passing architectures. 126-133 - Naoya Niwa, Yoshiya Shikama, Hideharu Amano, Michihiro Koibuchi:
A Case for Low-Latency Network-on-Chip using Compression Routers. 134-142 - Yoshiya Shikama, Ryuta Kawano, Hiroki Matsutani, Hideharu Amano, Yusuke Nagasaka, Naoto Fukumoto, Michihiro Koibuchi:
Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths. 143-147 - Maryam S. Hosseini, Masoumeh Ebrahimi, Pooria M. Yaghini, Nader Bagherzadeh:
Application Characterization for Near Memory Processing. 148-152 - Sandro M. Marques, Thiarles S. Medeiros, Matheus S. Serpa, Fábio D. Rossi, Marcelo Caggiani Luizelli, Philippe O. A. Navaux, Antonio Carlos Schneider Beck, Arthur Francisco Lorenzon:
Optimizing Parallel Applications via Dynamic Concurrency Throttling and Turbo Boosting. 153-160 - Hiago Mayk G. de A. Rocha, Janaina Schwarzrock, Arthur Francisco Lorenzon, Antonio Carlos Schneider Beck:
Boosting Graph Analytics by Tuning Threads and Data Affinity on NUMA Systems. 161-168 - Simone Dominico, Eduardo C. de Almeida, Marco A. Z. Alves, Jorge Augusto Meira:
Performance Analysis of Array Database Systems in Non-Uniform Memory Architecture. 169-176 - Gustavo P. Berned, Thiarles S. Medeiros, Matheus S. Serpa, Fábio D. Rossi, Marcelo Caggiani Luizelli, Philippe O. A. Navaux, Antonio Carlos Schneider Beck, Arthur Francisco Lorenzon:
Combining Thread Throttling and Mapping to Optimize the EDP of Parallel Applications. 177-180 - Ami Marowka:
Toward a Better Performance Portability Metric. 181-184 - András Márkus, József Dániel Dombi, Attila Kertész:
Location-aware Task Allocation Strategies for IoT-Fog-Cloud Environments. 185-192 - Karim Manaouil, Adrien Lebre:
Kubernetes WANWide: a Deployment Scenario to Expose and Use Edge Computing Resources? 193-197 - Yuan He, Jinyu Jiao, Masaaki Kondo:
Local Traffic-Based Energy-Efficient Hybrid Switching for On-Chip Networks. 198-206 - Masoomeh Karami, Mohammad Hashem Haghbayan, Masoumeh Ebrahimi, Hamid Nejatollahi, Hannu Tenhunen, Juha Plosila:
High-Performance Parallel Fault Simulation for Multi-Core Systems. 207-211 - Aline S. Cordeiro, Sairo R. dos Santos, Francis B. Moreira, Paulo C. Santos, Luigi Carro, Marco A. Z. Alves:
Machine Learning Migration for Efficient Near-Data Processing. 212-219 - Alberto Cascajo, David E. Singh, Jesús Carretero:
LIMITLESS - LIght-weight MonItoring Tool for LargE Scale Systems. 220-227 - Nikolai Pfisterer, Marco Berghoff, Achim Streit:
On GPU optimizations of stencil codes for highly parallel simulations. 228-235 - Nunziato Cassavia, Elio Masciari:
Sigma: a Scalable High Performance Big Data Architecture. 236-239 - Michele Ianni, Elio Masciari:
A compact encoding of security logs for high performance activity detection. 240-244 - Eugenio Cesario, Andrea Vinci, Shabnam Zarin:
Towards Parallel Multi-density Clustering for Urban Hotspots Detection. 245-248 - Alessio De Rango, Luca Furnari, Alfonso Senatore, Donato D'Ambrosio, Salvatore Straface, Giuseppe Mendicino:
Massive simulations on GPGPUs of subsurface flow on heterogeneous soils. 249-252 - Maxim Kolomeets, Olga Tushkanova, Dmitry Levshun, Andrey Chechulin:
Camouflaged bot detection using the friend list. 253-259 - Diana Gaifulina, Igor V. Kotenko:
Selection of Deep Neural Network Models for IoT Anomaly Detection Experiments. 260-265 - Christian Plappert, Daniel Zelle, Henry Gadacz, Roland Rieke, Dirk Scheuermann, Christoph Krauß:
Attack Surface Assessment for Cybersecurity Engineering in the Automotive Domain. 266-275 - Mohammad Anagreh, Eero Vainikko, Peeter Laud:
Parallel Privacy-Preserving Shortest Paths by Radius-Stepping. 276-280 - Igor V. Kotenko, Igor Saenko, Aleksander Kribel, Oleg Lauta:
A technique for early detection of cyberattacks using the traffic self-similarity property and a statistical approach. 281-284 - Somchart Fugkeaw:
WorkTrue: An Efficient and Secure Cloud-based Workflow Management System. 285-290
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