150 research outputs found
Enhancing online analytics tools with dynamic user profiling using intelligent methods for classification
This is the Keynote Lecture presented at the Annual Meeting of the Society of Data Miners. The meeting was entitled "Building the Data Mining Profession: Get Involved" and it was held at London Metropolitan University
From pages on the fly to workflows in the cloud: evolution of the web architectures
Critical overview of the evolution of Web application architectures with specail emphasis on the new oppoirtunities and the influence of the recent cloud technologies
AI on demand through hybridization and containerization
The keynote presents Hybrid AI for combining logical analysis and data analysis through the use of contemporary cloud technoliogie
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
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
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