9th Workshop on Scalable Computing

Covered topics include (but are not limited to):

General issues in scalable computing

• Algorithms and programming models for large-scale applications, simulations and systems

• Large-scale symbolic, numeric, data-intensive, graph, distributed computations

• Architectures for large-scale computations (GPUs, accelerators, quantum systems, federated systems, etc.)

• Data models for large-scale applications, simulations and systems

• Large-scale distributed databases

• Security issues for large-scale applications and systems

• Load-balancing / intelligent resource management in large-scale applications, simulations and systems

• Performance analysis, evaluation and prediction

• Portals, workflows, services and collaborative research

• Data visualization

• On-demand computing

• Virtualization supporting computations

• Self-adaptive computational / storage systems

• Volunteer computing

• Scaling applications from small-scale to exa-scale (and back)

• Computing for Big Data

• Business applications

Grid / Cloud computing

• Cloud / Grid computing architectures, models, algorithms and applications

• Cloud / Grid security, privacy, confidentiality and compliance

• Mobile Cloud computing

• High performance Cloud computing

• Green Cloud computing

• Performance, capacity management and monitoring of Cloud / Grid configuration

• Cloud / Grid interoperability and portability

• Cloud / Grid application scalability and availability

• Economic, business and ROI models for Cloud / Grid computing

• Big Data cloud services