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{"pages":[{"url":"/pages/about.html.html","text":"Project Team Peter Elmer (PI) - Princeton University, Department of Physics Vassil Vassilev - Princeton University & ROOT Intel Parallel Computing Center Collaborators The ROOT team at CERN and Fermilab The DIANA/HEP project Acknowledgement This project is supported by a gift from Intel Corporation . Any opinions, findings, conclusions or recommendations expressed in this material are those of the developers and do not necessarily reflect the views of Intel.","tags":"pages","title":"IPCC-ROOT Overview"},{"url":"/pages/documents.html.html","text":"Status Reports 04 Dec 2018 - Monthly Report (V.Vassilev) 08 Nov 2018 - Intel Showcase Presentation (V.Vassilev) 23 Oct 2018 - Biweekly Report (V.Vassilev) 05 Oct 2018 - Monthly Report (V.Vassilev) 30 Aug 2018 - Triweekly Report (V.Vassilev) 07 Aug 2018 - Triweekly Report (V.Vassilev) 19 Jul 2018 - Monthly Report (V.Vassilev) 21 Jun 2018 - Triweekly Report (V.Vassilev) 30 May 2018 - Triweekly Report (V.Vassilev) 08 May 2018 - Biweekly Report (V.Vassilev) 24 Apr 2018 - Montly Report (V.Vassilev) 29 Mar 2018 - Biweekly Report (V.Vassilev) 15 Mar 2018 - Triweekly Report (V.Vassilev) 20 Feb 2018 - Triweekly Report (V.Vassilev) 30 Jan 2018 - Biweekly Report (V.Vassilev) 16 Jan 2018 - Triweekly Report (V.Vassilev) 12 Dec 2017 - Triweekly Report (V.Vassilev) 21 Nov 2017 - Triweekly Report (V.Vassilev) 24 Oct 2017 - Triweekly Report (V.Vassilev) 03 Oct 2017 - Triweekly Report (V.Vassilev) 12 Sep 2017 - Triweekly Report (V.Vassilev) 22 Aug 2017 - Triweekly Report (V.Vassilev) 01 Aug 2017 - Intel Showcase Presentation (V.Vassilev) 20 Jul 2017 - Biweekly Report (V.Vassilev) 04 Jul 2017 - Triweekly Report (V.Vassilev) 14 Jun 2017 - Triweekly Report (V.Vassilev) 23 May 2017 - Triweekly Report (V.Vassilev) 09 May 2017 - Triweekly Report (V.Vassilev) 18 Apr 2017 - Triweekly Report (V.Vassilev) 28 Mar 2017 - Biweekly Report (V.Vassilev) 14 Mar 2017 - Status Report Q1 (V.Vassilev) 17 Feb 2017 - Indico , kick-off report (V.Vassilev)","tags":"pages","title":"Documents"},{"url":"/pages/intel-root-parallel-computing-center.html","text":"The Princeton/Intel Parallel Computing Center to modernize ROOT (IPCC ROOT) is funded via Intel's Intel Parallel Computing Center (IPCC) program. ROOT is a data analysis framework which enables big data processing, statistical analysis, visualization and storage in highly efficient manner. ROOT is open source software. It was begun nearly 20 years ago as part of the preparation for the scientific program of the Large Hadron Collider at the European Laboratory for Particle Physics (CERN) , but has been widely adopted in particle and nuclear physics. It is used not only at CERN and by external scientists working at CERN, but also for experiments at many other physics laboratories around the world. It is used daily by an estimated community of 20000 scientists around the world, including non-physics applications ranging from finance to genomics. The compute needs of the LHC program are very large and will grow in a way that there is a significant pressure to optimize software codes like ROOT. The focus of the IPCC ROOT project is the modernization of the ROOT Math and I/O libraries.","tags":"pages","title":"Intel ROOT Parallel Computing Center"},{"url":"/IPCC_ROOT_Kickoff.html","text":"The Princeton/Intel Parallel Computing Center (IPCC ROOT) held its kick-off meeting today. The main IPCC ROOT engineer, Vassil Vassilev joined Princeton and the IPCC ROOT project in January, 2017. He presented the initial IPCC ROOT workplan for 2017 . ROOT is a data analysis framework which enables big data processing, statistical analysis, visualization and storage in highly efficient manner. ROOT is open source software. The focus of the IPCC ROOT project is the modernization of the ROOT Math and I/O libraries.","tags":"Blog","title":"The Princeton IPCC ROOT project begins"},{"url":"/Announcing_IPCC_ROOT.html","text":"Intel has funded an Intel Parallel Computing Center (IPCC) at Princeton University who main target is the modernization of critical libraries in the ROOT data analysis framework. ROOT is a data analysis framework which enables big data processing, statistical analysis, visualization and storage in highly efficient manner. ROOT is open source software. It was begun nearly 20 years ago as part of the preparation for the scientific program of the Large Hadron Collider at the European Laboratory for Particle Physics (CERN) , but has been widely adopted in particle and nuclear physics. It is used not only at CERN and by external scientists working at CERN, but also for experiments at many other physics laboratories around the world. It is used daily by an estimated community of 20000 scientists around the world, including non-physics applications ranging from finance to genomics. The compute needs of the LHC program are very large and will grow in a way that there is a significant pressure to optimize software codes like ROOT. The focus of the IPCC ROOT project is the modernization of the ROOT Math and I/O libraries.","tags":"Blog","title":"Announcing the Princeton IPCC ROOT project"}]}