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A01 DAQ
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A02 Trigger
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A03 Simulation
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A04 Reconstruction
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A05 Data analysis
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A06 Data stores
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A07 Experiment frameworks for WAN distributed computing
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A08 Middleware and services for production-quality infrastructures
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A09 Outreach
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A10 Multi-discipline / multi-experiment topic
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A11 Computing models
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A12 Data preservation
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A13 Monitoring
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T01 Control systems
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T02 Event processing frameworks
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T03 Data structures and algorithms
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T04 Data handling/access
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T05 Databases
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T06 Storage systems
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T07 Computing facilities and infrastructures
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T08 Software design
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T09 Software development process
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T10 Performance and validation tools
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T11 Continuous integration systems
Technologies Keywords
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T12 Parallel programming
Technologies Keywords
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T13 Networking
Technologies Keywords
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T14 Collaborative tools
Technologies Keywords
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T15 Cloud computing
Technologies Keywords
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T16 Virtualization
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T17 High performance computing
Technologies Keywords
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T18 CPU architectures, GPU, FPGA
Technologies Keywords
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Track1: Online computing
DAQ and Trigger; development, design, architecture for filtering, reconstruction, etc. and use within experiments and facilities; evaluation and testing of such systems; parallelism, HPC, and accelerator use in such systems; event building and farm networks; compute farms for high-level triggering; configuration and run controls; describing and managing configuration data and conditions databases; online software frameworks and tools; online calibration procedures; remote access to (and control of) DAQ systems and experimental facilities.
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Track2: Offline software
event generation, simulation and reconstruction; detector geometries, algorithms for physics analysis; tools and techniques for data classification and parameter fitting; event visualization and data presentation; frameworks for event processing; toolkits for simulation, reconstruction and analysis; event data models.
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Track3: Data store and access
storage management; local I/O and data access; mass storage systems; object dictionaries; event stores; metadata and supporting infrastructure; databases; access patterns and caching strategies.
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Track4: Middleware, software development and tools, experiment frameworks, tools for distributed computing
Grid middleware; software reliability, interoperability and security; experiment specific middleware applications; software testing and quality assurance; programming techniques and tools; software build, release, distribution tools and documentation; configuration management; Grid monitoring tools; mobile computing.
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Track5: Computing activities and Computing models
distributed computing aspects with focus on operations; distributed data processing experience, including experience with grids and clouds; workflows and data management in operations; distributed data analysis; experience with production and data challenges; experience with analysis using distributed resources; interactive analysis using distributed resources; monitoring of user jobs and data; global usage and management of resources; data preservation; data curation and long-term data reproducibility.
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Track6: Facilities, Infrastructure, Network
hardware and benchmarks; fabric virtualization; fabric management and administration; local (LAN) and wide-area networking (WAN); private networks; collaborative systems: progress in technologies and applications; tele-presence and teleconferencing systems; experience in the use of teleconferencing tools.
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Track7: Clouds and virtualization
Cloud, virtual machine, container, volunteer computing technologies; frameworks and tools to exploit these technologies and environments; experiences in managing and using these technologies in production environments.
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Track8: Performance increase and optimization exploiting hardware features
CPU/GPU architectures; tightly-coupled systems; GPGPU; hardware and benchmarking; concurrency; vectorization and parallelization; mathematical libraries; foundation and utility libraries; documentation.
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