Any Data, Any Time, Anywhere: Global Data Access for Science

Data access is key to science driven by distributed high-throughput computing (DHTC), an essential technology for many major research projects such as High Energy Physics (HEP) experiments. However, achieving efficient data access becomes quite difficult when many independent storage sites are involved because users are burdened with learning the intricacies of accessing each system and keeping careful track of data location. We present an alternate approach: the Any Data, Any Time, Anywhere infrastructure. Combining several existing software products, AAA presents a global, unified view of storage systems - a "data federation," a global filesystem for software delivery, and a workflow management system. We present how one HEP experiment, the Compact Muon Solenoid (CMS), is utilizing the AAA infrastructure and some simple performance metrics.Comment: 9 pages, 6 figures, submitted to 2nd IEEE/ACM International Symposium on Big Data Computing (BDC) 201

Parallelized and Vectorized Tracking Using Kalman Filters with CMS Detector Geometry and Events

The High-Luminosity Large Hadron Collider at CERN will be characterized by greater pileup of events and higher occupancy, making the track reconstruction even more computationally demanding. Existing algorithms at the LHC are based on Kalman filter techniques with proven excellent physics performance under a variety of conditions. Starting in 2014, we have been developing Kalman-filter-based methods for track finding and fitting adapted for many-core SIMD processors that are becoming dominant in high-performance systems. This paper summarizes the latest extensions to our software that allow it to run on the realistic CMS-2017 tracker geometry using CMSSW-generated events, including pileup. The reconstructed tracks can be validated against either the CMSSW simulation that generated the hits, or the CMSSW reconstruction of the tracks. In general, the code's computational performance has continued to improve while the above capabilities were being added. We demonstrate that the present Kalman filter implementation is able to reconstruct events with comparable physics performance to CMSSW, while providing generally better computational performance. Further plans for advancing the software are discussed

EVE-7 and FireworksWeb: The next generation event visualization tools for ROOT and CMS

The CMS experiment supports and contributes to the development of the next-generation Event Visualization Environment (EVE) of the ROOT framework with the intention of superseding Fireworks, the physics analysis oriented event display of CMS, with a new server-web client implementation. EVE-7 is a rewrite of EVE for the ROOT-7 era, using modern C++ and relying on ROOT’s built-in http server for communication with GUI clients. Part of EVE-7 is also implemented in JavaScript and uses OpenUI5, JSROOT, and Three.js as its foundation libraries. While some of the advanced features of EVE have not yet been ported to EVE-7, the existing code-base can be used for building of demonstrator applications serving as technology preview. FireworksWeb is currently at the stage of a minimal application built around EVE-7. Several advanced Fireworks features have been ported into EVE-7 in an experiment-independent manner, relying heavily on Cling, the C++ interpreter of ROOT: dynamic table views, handling of physics object collections, and filtering of objects within physics collections

Exploring server/web-client event display for CMS

The divergence of windowing systems among modern Linux distributions and OSX is making the current mode of event display operations difficult to maintain. In order to continue to support the CMS experiment event display, Fireworks, we need to explore other options beyond the current distribution model of centrally built tarballs. C++-server web-client event display is a promising direction that can maintain the full functionality of Fireworks, including operation from the full experiment framework. In addition, it brings new features like multi-user debugging and the possibility to implement more elaborate visualization of non-event data through remote access to independent services. We have been exploring mainly in the direction of Fireworks-based C++ server and thin web-client user interface as it allows for a large degree of reuse of existing algorithms as well as for full access to CMS data formats and accompanying functions that are crucial for the correct physics interpretation of event data. This paper presents the basic architecture of the system, discusses the communication protocol between server and client, and shows existing prototypes that demonstrate the feasibility of advanced event display features

Exploring server/web-client event display for CMS

The divergence of windowing systems among modern Linux distributions and OSX is making the current mode of event display operations difficult to maintain. In order to continue to support the CMS experiment event display, Fireworks, we need to explore other options beyond the current distribution model of centrally built tarballs. C++-server web-client event display is a promising direction that can maintain the full functionality of Fireworks, including operation from the full experiment framework. In addition, it brings new features like multi-user debugging and the possibility to implement more elaborate visualization of non-event data through remote access to independent services. We have been exploring mainly in the direction of Fireworks-based C++ server and thin web-client user interface as it allows for a large degree of reuse of existing algorithms as well as for full access to CMS data formats and accompanying functions that are crucial for the correct physics interpretation of event data. This paper presents the basic architecture of the system, discusses the communication protocol between server and client, and shows existing prototypes that demonstrate the feasibility of advanced event display features