default search action
29th 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
A Federated Content Distribution System to Build Health Data Synchronization Services. 1-8 - Thanh-Dang Diep
Nonblocking Data Structures for Distributed-Memory Machines: Stacks as an Example. 9-17 - Kai-Hsun Chen, Hsin-Yuan Chen
Bucket MapReduce: Relieving the Disk I/O Intensity of Data-Intensive Applications in MapReduce Frameworks. 18-25 - Yuichi Tsujita
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
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
Building representative and balanced datasets of OpenMP parallel regions. 67-74 - Maria Angélica Dávila-Guzmán, Ruben Gran Tejero
A Cross-Platform OpenVX Library for FPGA Accelerators. 75-83 - Adriano Marques Garcia
Introducing a Stream Processing Framework for Assessing Parallel Programming Interfaces. 84-88 - Adriano Vogel
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
Performance Modeling for Distributed Training of Convolutional Neural Networks. 99-108 - Adrián Castelló
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
General hardware multicasting for fine-grained message-passing architectures. 126-133 - Naoya Niwa
A Case for Low-Latency Network-on-Chip using Compression Routers. 134-142 - Yoshiya Shikama, Ryuta Kawano
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
Optimizing Parallel Applications via Dynamic Concurrency Throttling and Turbo Boosting. 153-160 - Hiago Mayk G. de A. Rocha
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
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
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
Local Traffic-Based Energy-Efficient Hybrid Switching for On-Chip Networks. 198-206 - Masoomeh Karami
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
Towards Parallel Multi-density Clustering for Urban Hotspots Detection. 245-248 - Alessio De Rango, Luca Furnari, Alfonso Senatore, Donato D'Ambrosio, Salvatore Straface
Massive simulations on GPGPUs of subsurface flow on heterogeneous soils. 249-252 - Maxim Kolomeets
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
Attack Surface Assessment for Cybersecurity Engineering in the Automotive Domain. 266-275 - Mohammad Anagreh
Parallel Privacy-Preserving Shortest Paths by Radius-Stepping. 276-280 - Igor V. Kotenko
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-27 20:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: