Scientific Programme

This conference covers following topics represented by 'keywords'. The keywords are categorized in two areas: Applications and Technologies. Abstract submitters should check as many keywords as they think they fit. The keywords selection is not mandatory for the abstract submissions, but warmly suggested as it helps the PC to organize the tracks. In case of questions/doubts about which keywords to select, please contact the PC chair (e-mail: chep2015-pc-chair@icepp.s.u-tokyo.ac.jp ).
  • A01 DAQ

    Application Keywords

  • A02 Trigger

    Application Keywords

  • A03 Simulation

    Application Keywords

  • A04 Reconstruction

    Application Keywords

  • A05 Data analysis

    Application Keywords

  • A06 Data stores

    Application Keywords

  • A07 Experiment frameworks for WAN distributed computing

    Application Keywords

  • A08 Middleware and services for production-quality infrastructures

    Application Keywords

  • A09 Outreach

    Application Keywords

  • A10 Multi-discipline / multi-experiment topic

    Application Keywords

  • A11 Computing models

    Application Keywords

  • A12 Data preservation

    Application Keywords

  • A13 Monitoring

    Application Keywords

  • T01 Control systems

    Technologies Keywords

  • T02 Event processing frameworks

    Technologies Keywords

  • T03 Data structures and algorithms

    Technologies Keywords

  • T04 Data handling/access

    Technologies Keywords

  • T05 Databases

    Technologies Keywords

  • T06 Storage systems

    Technologies Keywords

  • T07 Computing facilities and infrastructures

    Technologies Keywords

  • T08 Software design

    Technologies Keywords

  • T09 Software development process

    Technologies Keywords

  • T10 Performance and validation tools

    Technologies Keywords

  • T11 Continuous integration systems

    Technologies Keywords

  • T12 Parallel programming

    Technologies Keywords

  • T13 Networking

    Technologies Keywords

  • T14 Collaborative tools

    Technologies Keywords

  • T15 Cloud computing

    Technologies Keywords

  • T16 Virtualization

    Technologies Keywords

  • T17 High performance computing

    Technologies Keywords

  • T18 CPU architectures, GPU, FPGA

    Technologies Keywords

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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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