ИСТИНА

• Охват: Международная
• Даты проведения: 13-17 апреля 2015
• Место проведения: Окинава, Japan
• Организатор:
  http://chep2015.kek.jp/organization.html
• Веб-сайт: http://chep2015.kek.jp/
• Все конференции этой группы
• Описание конференции:

  [Track 1] 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. [Track 2] 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. [Track 3] 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. [Track 4] 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. [Track 5] 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. [Track 6] 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. [Track 7] 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. [Track 8] 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.

• Добавил в систему: Григорьева Мария Александровна

Доклады:

• 2015 Studies of Big Data meta-data segmentation between relational and non-relational databases (Устный)
• Авторы: Golosova M., Grigorieva M., Klimentov A., Dimitrov G., Potekhin M., Ryabinkin E.