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CASE
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Ab-Initio Electronic Structure Methods
Advanced docking strategies
Aerosol data assimilation
Aerosol-radiation-cloud interactions
Agriculture and water management services
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AI Psychometrics and Complexity Science
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Algorithms for genomics data compression
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Application optimization for GPU acceleration
Applied Learning Methods
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Bias development mechanisms
Big Data Frameworks
Biological data integration and management
Blockchain Scalability and Sustainability
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Cancer genomics
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Climate Change Impacts on Public Health, Agricultural, Energy, and the Environment
Climate Model Initialization and Data Assimilation
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COTS multicore real-time systems
Cultural Heritage and Museums
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Deep-Learning and HPC
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Digital Social Ecology
Distributed computing libraries and environments for quantum algorithms and hybrid classical-quantum workflows
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Distributed Object Management
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Docking for interactomics and personalized medicine
Domain Specific Languages
Dynamic resource management in HPC
Earthquake Simulation
eDrug: interactive drug design
Electromagnetic Modeling and Inversion
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Energy-aware and Virtualisation Technologies
Enzymatic Catalysis and Protein Engineering
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Forecast quality assessment of seasonal-to-decadal predictions
Functional consequences of genetics variants
Generic Lightweight Threads
Genetics of Complex Diseases
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High Performance Computing for Earth Sciences Team
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High Programming Productivity for Accelerators
High-performance IO and storage
Homomorphically Encrypted Deep Learning
HPC Frameworks
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Industrial artificial intelligence and digital twins
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Land-atmosphere coupling and predictability
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MareNostrum
Memory hierarchy for GPU acceleration
Memory systems for HPC and AI
Mesh generation and adaptivity
Message Passing Interface (MPI)
Microscale wind simulations and wind resource assessment
Microserver architectures and system software
Mineral dust - AXA Chair on Sand and Dust Storms
Mobile and embedded-based HPC
Modelization of Climatic Events with Statistical and AI Approaches
Models and Workflows Team
Multiphysics
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Natural Language Processing for the Humanities
Network Biology
Neural networks for data-streams
New approaches to the prediction of protein structure and interactions
NoSQL technologies applied to Life Sciences
Numerical Methods
Ocean Biogeochemistry and Climate Feedbacks
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OpenMP Extensions
PELE: Monte Carlo methods for protein/DNA-ligand interactions
Performance Analytics
Personalized Medicine Initiative
Policy analysis
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Probabilistic Real Time Systems
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Reduced Order Methods in HPC
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Sea Ice Variability, Prediction and Impacts
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Smart and resilient cities
Social Media, Politics and Behavior
Software development for protein-protein interactions
SOftware research and development vehicles for New ARchitectures (SONAR)
Solar energy services
Supercomputing for Artificial Intelligence
Teaching Methodologies for Technology Rich Environments
Tensor Networks
The OmpSs Programming Model
Time-predictable parallel programming models
Towards complex and intelligent workflow programming for Distributed Computing
Transferability of AI-Based Hazard Models to Data-Scarce Regions
Tropical Cyclones
Troposphere-stratosphere coupling
Urban air quality modelling
Urban Data Science
Urban-scale Atmospheric Dispersal Modeling
Volcanic ash
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Workflow environments for Scientific Applications
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Jesus Labarta Mancho
Jesus Labarta Mancho
JESUS
LABARTA MANCHO
Position:
DISTINGUISHED RESEARCH FELLOW
Barcelona Supercomputing Center - Centro Nacional de Supercomputación
Computational
email:
jesus [dot] labarta
[at]
bsc [dot] es
Tel:
+34 934137642
Primary tabs
Projectes
Personal Details
(pestanya activa)
Main Research Lines
Distributed Object Management
The OmpSs Programming Model
DLB: Dynamic Load Balancing
Runtime aware architectures
Data-Driven Scientific Computing
Energy efficiency management for Data Centers
Dynamic resource management in HPC
