This processing model limits what can be done with interactive data analytics.
Processing within these phases is extremely time consuming, therefore intermediate results are stored in files held in mass storage systems and referenced as part of large datasets.
#LHC GROUP ITRAIN SABA FULL#
= ,Ī full High Energy Physics (HEP) data analysis is divided into multiple data reduction phases. Here, using data from the CMS detector, we will use HDF5 as our input data format, and MPI with Python to implement our use case. Our example HPC use case is a search for a new elementary particle which might explain the phenomenon known as “Dark Matter”. Mainstream big data tools, while suggesting a direction in terms of what can be done if an entire data set can be available across a system and analysed with more » high-level programming abstractions, are not designed with either scientific computing generally, or modern HPC platform features in particular, such as data caching levels, in mind. This fragmentation causes difficulties for interactive data analysis, and as data sets increase in size and complexity (O10 TiB for a “small” neutrino experiment to the O10 PiB currently held by the CMS experiment at the LHC), data analysis methods traditional to the field must evolve to make optimum use of emerging HPC technologies and platforms. Also, algorithms tend to to be modular because of the heterogeneous nature of most detectors and the need to analyze different parts of the detector separately before combining the information. A typical vertical slice of an HEP data analysis is somewhat fragmented: the state of the reduction/analysis process must be saved at certain stages to allow for selective reprocessing of only parts of a generally time-consuming workflow. In this paper, we explore the features available in Python which are useful and efficient for end user analysis in High Energy Physics (HEP). TIKA has already actualized a number of educational and sports projects across Pakistan, mainly in the less-developed areas of Sindh and Balochistan provinces.High level abstractions in Python that can utilize computing hardware well seem to be an attractive option for writing data reduction and analysis tasks. TIKA's Karachi Coordinator Ibrahim Katirci said the aid agency has established a number of projects for Pakistani youth in recent years, ranging from libraries to vocational training centers and music classrooms. The decadeslong friendship between Pakistan and Turkey, he noted, has gained more strength with every passing day. Highlighting the importance of sports among youth, Turkish Consul General in Karachi Tolga Uçak hoped that the sports facilities set up by TIKA will support talent and pave the way for mainstream sports for children with special needs.
He further thanked Ankara for lending its support to Islamabad in every trying time. TIKA has also upgraded the digital technology to help provide better study opportunities at the 100-year-old school located in the heart of Karachi.Īddressing the inauguration ceremony, Pakistan's President Arif Alvi thanked Ankara for setting up the sports facilities for children with special needs, who are an "inseparable" part of any society.Ĭalling for incorporating people with special needs into the society, Alvi said: "We must help them to feel normal because they are as normal as every one of us." The school is one of the largest educational facilities for children with special needs in Pakistan with an enrollment of over 800 students. The Turkish Cooperation and Coordination Agency (TIKA) set up cricket training pitches and football stadium especially designed for hearing and visually impaired children at Ida Rieu School for Blind and Deaf, Karachi. Turkey's state-run aid agency on Wednesday launched cricket and football training facilities for children with special needs in Pakistan’s southern port city of Karachi with the participation of the Pakistani president.
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