Exploring compression techniques for ROOT IO

ROOT provides an flexible format used throughout the HEP community. The number of use cases - from an archival data format to end-stage analysis - has required a number of tradeoffs to be exposed to the user. For example, a high "compression level" in the traditional DEFLATE algorithm will result in a smaller file (saving disk space) at the cost of slower decompression (costing CPU time when read). At the scale of the LHC experiment, poor design choices can result in terabytes of wasted space or wasted CPU time. We explore and attempt to quantify some of these tradeoffs. Specifically, we explore: the use of alternate compressing algorithms to optimize for read performance; an alternate method of compressing individual events to allow efficient random access; and a new approach to whole-file compression. Quantitative results are given, as well as guidance on how to make compression decisions for different use cases.Comment: Proceedings for 22nd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2016

Continuous Performance Benchmarking Framework for ROOT

Foundational software libraries such as ROOT are under intense pressure to avoid software regression, including performance regressions. Continuous performance benchmarking, as a part of continuous integration and other code quality testing, is an industry best-practice to understand how the performance of a software product evolves over time. We present a framework, built from industry best practices and tools, to help to understand ROOT code performance and monitor the efficiency of the code for a several processor architectures. It additionally allows historical performance measurements for ROOT I/O, vectorization and parallelization sub-systems.Comment: 8 pages, 5 figures, CHEP 2018 - 23rd International Conference on Computing in High Energy and Nuclear Physic

Discovering Job Preemptions in the Open Science Grid

The Open Science Grid(OSG) is a world-wide computing system which facilitates distributed computing for scientific research. It can distribute a computationally intensive job to geo-distributed clusters and process job's tasks in parallel. For compute clusters on the OSG, physical resources may be shared between OSG and cluster's local user-submitted jobs, with local jobs preempting OSG-based ones. As a result, job preemptions occur frequently in OSG, sometimes significantly delaying job completion time. We have collected job data from OSG over a period of more than 80 days. We present an analysis of the data, characterizing the preemption patterns and different types of jobs. Based on observations, we have grouped OSG jobs into 5 categories and analyze the runtime statistics for each category. we further choose different statistical distributions to estimate probability density function of job runtime for different classes.Comment: 8 page

Extending ROOT through Modules

The ROOT software framework is foundational for the HEP ecosystem, providing capabilities such as IO, a C++ interpreter, GUI, and math libraries. It uses object-oriented concepts and build-time components to layer between them. We believe additional layering formalisms will benefit ROOT and its users. We present the modularization strategy for ROOT which aims to formalize the description of existing source components, making available the dependencies and other metadata externally from the build system, and allow post-install additions of functionality in the runtime environment. components can then be grouped into packages, installable from external repositories to deliver post-install step of missing packages. This provides a mechanism for the wider software ecosystem to interact with a minimalistic install. Reducing intra-component dependencies improves maintainability and code hygiene. We believe helping maintain the smallest "base install" possible will help embedding use cases. The modularization effort draws inspiration from the Java, Python, and Swift ecosystems. Keeping aligned with the modern C++, this strategy relies on forthcoming features such as C++ modules. We hope formalizing the component layer will provide simpler ROOT installs, improve extensibility, and decrease the complexity of embedding in other ecosystemsComment: 8 pages, 2 figures, 1 listing, CHEP 2018 - 23rd International Conference on Computing in High Energy and Nuclear Physic

The Effectiveness of a Dual Task Concussion Assessment for Identifying Impairments in Concussed Athletes

Context: Commonly used single task (ST) concussion assessments are unable to identify lingering impairments following a concussion. Current dual task (DT) assessments use cost prohibitive technological assessments not available to most clinicians, creating the need for a clinically applicable dual task assessment to identify impairments. Objective: To determine if a DT assessment consisting of the Standardized Assessment of Concussion (SAC) and with the Balance Error Scoring System (BESS) is able to identify impairments. Design: Prospective longitudinal. Setting: Research laboratory. Participants: Concussed student-athletes and matched health controls, 18 females, 10 males. Concussed group: age 19.00±0.88, height 174.53±12.06 cm, and mass 75.28±22.02 kg. Healthy group: age 19.36±1.34, height 171.45±11.69 cm, mass 73.34±22.7 kg. Participants were matched based upon gender, mass, and sport. Interventions: The DT assessment was administered on the day of recovery (REC), on the day of return to play (RTP), and 30 days post-concussion (D30). Main Outcome Measures: Scores of SAC and BESS as a dual task. Results: No significant interaction or main effect was found between session and group for BESS. No significant interaction between session and status was found for SAC. There was a significant main effect found for session for SAC. Simple contrasts revealed significant differences between recovery REC and D30, and between RTP and D30. The SAC D30 scores were significantly higher (better) than recovery and return to play day, regardless of group. No significant differences were found between concussed and healthy for SAC at REC, RTP, and D30. Conclusions: There were no differences between recently concussed and healthy participants when performing the BESS and SAC as a DT challenge. Interestingly, an improvement in cognitive performance was identified whereby all participants improved SAC performance with repeat administration. Conversely, no improvements were noted with repeat performance suggesting a posture first strategy was not being employed. Future research should utilize tasks that challenge both the cognitive and postural domains, but is also plausible and feasible for clinicians to utilize

Designing Computing System Architecture and Models for the HL-LHC era

This paper describes a programme to study the computing model in CMS after the next long shutdown near the end of the decade.Comment: Submitted to proceedings of the 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015), Okinawa, Japa

Data Access for LIGO on the OSG

During 2015 and 2016, the Laser Interferometer Gravitational-Wave Observatory (LIGO) conducted a three-month observing campaign. These observations delivered the first direct detection of gravitational waves from binary black hole mergers. To search for these signals, the LIGO Scientific Collaboration uses the PyCBC search pipeline. To deliver science results in a timely manner, LIGO collaborated with the Open Science Grid (OSG) to distribute the required computation across a series of dedicated, opportunistic, and allocated resources. To deliver the petabytes necessary for such a large-scale computation, our team deployed a distributed data access infrastructure based on the XRootD server suite and the CernVM File System (CVMFS). This data access strategy grew from simply accessing remote storage to a POSIX-based interface underpinned by distributed, secure caches across the OSG.Comment: 6 pages, 3 figures, submitted to PEARC1