[hpc-announce] CALL FOR PAPERS - CARLA 2022 - DEADLINE APPROACHING!

[Márcio Castro]

[ Apologies if you are receiving multiple copies of this CFP. Please do forward it to interested colleagues. ]

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Call for Papers - Latin America High Performance Computing Conference (CARLA 2022)

September 26-30, 2022 - Porto Alegre, RS, Brazil
Website: http://www.carla22.org
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CARLA is an international conference that provides a forum to foster the growth and strength of the High Performance Computing (HPC) community in Latin America through the exchange and dissemination of new ideas, techniques, and research in HPC and its applications areas. It started in 2014. CARLA has become the flagship conference for HPC in the region. We invite the international community to share its advances on both HPC and HPC&AI (convergence between HPC and Artificial Intelligence) as those two key areas are becoming the predominant engine for innovation and development. 

In 2022, the Latin America High Performance Computing Conference (CARLA 2022) will be in Porto Alegre, Brazil, from September 26-30, 2022. We expect contributions from faculty members, researchers, specialists, and graduate students around the world.

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IMPORTANT DATES
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- Paper submission deadline: June 03, 2022
- Paper author notification: July 11, 2022
- Camera-ready version: August 19, 2022
- Conference dates: September 26-30, 2022

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CONFERENCE TRACKS
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CARLA 2022 will feature three exciting tracks: HPC (High Performance Computing), HPC&AI and HPC Applications. The latter is a new addition to the regular CARLA program and focuses on the synergies between Applications and HPC. The conference program includes keynote and invited talks from the academy and industry, full-article and poster sessions (presenting both mature work and new ideas in research), workshops, tutorials, discussion spaces, and more.

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* Track #1: High Performance Computing (HPC)
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The use and development of High Performance Computing in Latin America is steadily growing. The capabilities provided by clusters, grids, and distributed systems promote research and innovation. At the same time, many applications heavily rely on HPC infrastructure. The topics include HPC aspects on hardware and software

Topics of interest include, but are not limited to:
- Parallel Algorithms
- Multicore Architectures and Accelerators
- Parallel Programming Techniques
- Grid, Cloud, and Edge Computing
- HPC Education and Outreach
- HPC Infrastructure and Datacenters
- Large-scale Distributed Systems
- Industrial Computing
- High Performance Computing Tools
- Quantum computing

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* Track #2: Artificial Intelligence at HPC Scale
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AI needs HPC to run its greedy algorithms to solve a large variety of problems in multiple domains. On the other hand, HPC is finding its way to increase its impact on our society thanks to the multiple existent AI applications. In both cases, the complexity of HPC&AI systems often requires the use of HPC to tackle realistic problems where both the amount of data and the number of relationships among data elements could be monumental.

Topics of interest include, but are not limited to:
- Deep Learning
- Evolutionary Computing
- Fuzzy Systems
- Intelligence and Cybersecurity
- Knowledge Representation and Reasoning
- Machine Learning
- Natural Language Processing
- Neural Networks
- Social Network Analysis
- Uncertainty in Artificial Intelligence
- Computer Vision
- Cognitive Systems
- Data Mining
- Data Science

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Track #3: High Performance Computing Applications
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CARLA 2022 incorporates a new Track on HPC-Applications for the first time intending to bring to its community distinct contributions on advanced computing trends and their applications in the Latin American region. Typical examples can be found in cosmology, particle physics, weather prediction, artificial intelligence, climate modeling, geophysics, molecular biology, molecular dynamics, computational fluid dynamics, nuclear physics, and physical oceanography, among many others. An important goal in opening this new conference track is to intercede in conforming networks of Latin American research and technological groups towards the development of scientific applications of common interest to our region. To establish new collaborations and synergies to strengthen the existing links among our scientific communities, in particular with respect to the following general themes: HPC and Energy, HPC and Environmental Concerns, HPC and Life Sciences, and HPC in Science and Engineering. Access to large-scale data storage, the processing, and analysis of data often need to be completed within strict time frames, for example, in the context of clinical research and industrial process monitoring. In such situations, exploiting features including distributed computing, GPU acceleration, and cutting-edge ML tools hold considerable promise in speeding up analysis execution times, facilitating the rapid processing of massive data sets.

Topics of interest include, but are not limited to:

* HPC and Energy
  - Gas and oil exploration
  - Wind energy systems
  - Transportation systems
  - Nuclear systems
  - Solar energy systems
  - Seismic simulations
  - Geophysical simulations

* HPC and Environmental Concerns
  - Forest management and Reforestation
  - Agricultural
  - Climate modeling
  - Geophysics
  - Tectonic Processes and Crustal Dynamics
  - Earth Evolution: Surface Life and Climate
  - Weather Forecast
  - Smog levels
  - Smart constructions
  - Smart Cities
  - Urban Planning
  - Earth Sciences

* HPC and Life Sciences
  - Health
  - Cardiovascular Health
  - Cancer
  - Viral genome
  - Drug development
  - Pandemic tracking
  - Ecology
  - Computational Biology and Bioinformatics

* HPC in Science and Engineering
  - Aircraft production
  - Aerodynamics
  - Aerospace Engineering
  - Control systems
  - Navigation systems
  - Sensors and object identifications
  - Astrophysics
  - Solar weather and flares
  - Celestial mechanics
  - Cosmology
  - Extragalactic systems
  - Radio Astronomy
  - Autonomous driving
  - Computational Chemistry

* Other Important HPC Applications
  - HPC&AI applications
  - Quantum computing applications
  - Data analytics applications
  - Finance
  - Bit coins
  - Blockchain
  - Financial analysis
  - Security
  - Cryptographic analysis
  - High speed networks
  - Social Sciences

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BOARD COMMITTEE
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* General Chairs
 - Philippe O. A. Navaux (Federal University of Rio Grande do Sul, Brazil)
 - Carlos Jaime Barrios Hernández (Universidad Industrial de Santander, Colombia)

* Program Chairs
 - Alvaro Coutinho (Federal University of Rio de Janeiro, Brazil)
 - Esteban Moskcos (Universidad de Buenos Aires, Argentina)

* HPC track Chairs
 - Alfredo Goldman (University of São Paulo, Brazil)
 - Nicolás Wolovick (Universidad Nacional de Córdoba, Argentina)

* HPC Applications track Chairs
 - Edson Caceres (Federal University of Mato Grosso, Brazil)
 - Isidoro Gitler (ABACUS Centro de Investigación y de Estudios Avanzados del IPN, México)

* HPC & AI track Chairs
 - Kary Ann del Carmen Ocaña Gautherot (Laboratório Nacional de Computação Científica, Brazil)
 - Ulises Moya (Gobierno de Jalisco, México)



--
Márcio Castro, Ph.D.

Associate Professor -- Professor Adjunto
Department of Informatics and Statistics (INE)
Federal University of Santa Catarina (UFSC)

Phone: +55 (48) 3721 7374
Website: http://www.marciocastro.com