Opening up traditional cultural knowledge by means of European infrastructures: the examples of exploreAT! & EGI Engage

The rapid development of new digital tools and infrastructures in recent years and their application to a variety of disciplines has transformed how we store, access and retrieve information available to us. This has also shaped the ways how knowledge in a diverse cultural context is presented, used and re-used. The exploreAT! project builds upon not only Austrian, but also European cultural identity from the aspect of language, in particular dialects. Unlike standard languages, dialects are in times of globalization under considerable threat of diminishing, and this ultimately poses a risk to the intangible record that is language and through which a history of tangible culture is expressed. In this paper we elaborate on the possibilities digital means and the infrastructure and services of the EGI-Engage project offer in revealing and giving access to unique traditional cultural knowledge contained in a non-standard language resource on the example of the Bavarian dialects in Austria (DBÖ). Digital tools and services allow our heterogeneous corpus of data to be virtually exploited and preserved. The flexibility of the internet allow these data to become not only visible, but searchable and extractable. Through the digitization efforts, and use of European infrastructures the hidden cultural narratives within the data can be uncovered, enriched and shared for the benefit of knowledge society

Scalable Distributed Computing Hierarchy: Cloud, Fog and Dew Computing

The paper considers the conceptual approach for organization of the vertical hierarchical links between the scalable distributed computing paradigms: Cloud Computing, Fog Computing and Dew Computing. In this paper, the Dew Computing is described and recognized as a new structural layer in the existing distributed computing hierarchy. In the existing computing hierarchy, the Dew computing is positioned as the ground level for the Cloud and Fog computing paradigms. Vertical, complementary, hierarchical division from Cloud to Dew Computing satisfies the needs of high- and low-end computing demands in everyday life and work. These new computing paradigms lower the cost and improve the performance, particularly for concepts and applications such as the Internet of Things (IoT) and the Internet of Everything (IoE). In addition, the Dew computing paradigm will require new programming models that will efficiently reduce the complexity and improve the productivity and usability of scalable distributed computing, following the principles of High-Productivity computing

INDIGO-DataCloud: A data and computing platform to facilitate seamless access to e-infrastructures

This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources, to easily write, port and run scientific applications to the cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, including those provided by EGI, EUDAT, and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANT interfederation policies, thus guaranteeing transparency and trust in the provisioning of such services. Our middleware facilitates the execution of applications using containers on Cloud and Grid based infrastructures, as well as on HPC clusters. Our developments are freely downloadable as open source components, and are already being integrated into many scientific applications

ChASE - A Distributed Hybrid CPU-GPU Eigensolver for Large-scale Hermitian Eigenvalue Problems

As modern massively parallel clusters are getting larger with beefier compute nodes, traditional parallel eigensolvers, such as direct solvers, struggle keeping the pace with the hardware evolution and being able to scale efficiently due to additional layers of communication and synchronization. This difficulty is especially important when porting traditional libraries to heterogeneous computing architectures equipped with accelerators, such as Graphics Processing Unit (GPU). Recently, there have been significant scientific contributions to the development of filter-based subspace eigensolver to compute partial eigenspectrum. The simpler structure of these type of algorithms makes for them easier to avoid the communication and synchronization bottlenecks typical of direct solvers. The Chebyshev Accelerated Subspace Eigensolver (ChASE) is a modern subspace eigensolver to compute partial extremal eigenpairs of large-scale Hermitian eigenproblems with the acceleration of a filter based on Chebyshev polynomials. In this work, we extend our previous work on ChASE by adding support for distributed hybrid CPU-multi-GPU computing architectures. Our tests show that ChASE achieves very good scaling performance up to 144 nodes with 526 NVIDIA A100 GPUs in total on dense eigenproblems of size up to $360$k

ChASE-library/ChASE: ChASE v1.1.2 Release

We release the version 1.2.0 of ChASE, with new features as follows: include fortran interface explicitly in the ChASE code add a new chase-mpi-properties interface for block distribution, in which the distribution is provided by user, rather than use the built-in one. fully compatible with Quantum Espress

Efficient update of determinants for many-electron wave function overlaps

The calculation of overlaps between many-electron wave functions at different nuclear geometries during nonadiabatic dynamics simulations requires the evaluation of a large number of determinants of matrices that differ only in a few rows/columns. While this calculation is fast for small systems, its cost grows faster than the alternative electronic structure calculation used to obtain the wave functions. For wave functions that can be written as a CIS expansion, all determinants can be computed using the set of level-2 minors of the reference matrix. However, this is still a costly computation for large systems. In this paper, we provide an algorithm for efficiently calculating all level-2 minors of a matrix by re-utilizing and updating the LU factorization for the determinants of the minors. This approach results in a parallel version of the algorithm that is up to an order of magnitude faster then the current best parallel implementation. The algorithm thus allows the computation of exact wave function overlaps for relatively large systems, with a high density of states, at virtually no cost compared with the electronic structure calculations. Furthermore, the new algorithm opens the path to further investigations in efficient computing of the exact wave function overlaps for complex wave functions such as MR-CIS and MR-CISD.Enrique S. Quintana-Ortí was supported by project TIN2017- 82972-R, Pedro Alonso-Jordá by project TIN2017-89314-P-AR, and José R. Herrero by project TIN2015-65316-P, all of the MINECO and FEDER. The latter was also funded by the Generalitat de Catalunya (contract 2017-SGR-1414). Marin Sapunar and Davor Davidović were supported by Croatian Science Foundation under grant HRZZ IP-2016-06-1142.Peer ReviewedPostprint (author's final draft

Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos

In the framework of the H2020 INDIGO-DataCloud project, we have implemented an advanced solution for the automatic deployment of digital data repositories based on Invenio, the digital library framework developed by CERN. Exploiting cutting-edge technologies, such as Docker and Apache Mesos, and standard specifications to describe application architectures such as TOSCA, we are able to provide a service that simplifies the process of creating and managing repositories of various digital assets using cloud resources. An Invenio-based repository consists of a set of services (e.g. database, message queue, cache, workers and frontend) that need to be properly installed, configured and linked together. These operations, along with the provisioning of the resources and their monitoring and maintenance, can be challenging for individual researchers or small-to-moderate-sized research groups. To this purpose, the INDIGO-DataCloud platform provides advanced features for orchestrating the deployment of complex virtual infrastructures on distributed cloud environments: it is able to provision the required resources automatically over heterogeneous and/or hybrid cloud infrastructures and to configure them automatically ensuring dynamic elasticity and resilience. This approach has been successfully adapted to support the needs of the researchers and scholars in the domain of the Digital Arts and Humanities

Delayed Care and Mortality Among Women and Men With Myocardial Infarction

Women with -segment-elevation myocardial infarction () have higher mortality rates than men. We investigated whether sex-related differences in timely access to care among patients may be a factor associated with excess risk of early mortality in women. We identified 6022 patients who had information on time of symptom onset to time of hospital presentation at 41 hospitals participating in the -TC (International Survey of Acute Coronary Syndromes in Transitional Countries) registry (01218776) from October 2010 through April 2016. Patients were stratified into time-delay cohorts. We estimated the 30-day risk of all-cause mortality in each cohort. Despite similar delays in seeking care, the overall time from symptom onset to hospital presentation was longer for women than men (median: 270 minutes [range: 130-776] versus 240 minutes [range: 120-600]). After adjustment for baseline variables, female sex was independently associated with greater risk of 30-day mortality (odds ratio: 1.58; 95% confidence interval, 1.27-1.97). Sex differences in mortality following STEMI were no longer observed for patients having delays from symptom onset to hospital presentation of ≤1 hour (odds ratio: 0.77; 95% confidence interval, 0.29-2.02). Sex difference in mortality following persists and appears to be driven by prehospital delays in hospital presentation. Women appear to be more vulnerable to prolonged untreated ischemia. : . Unique identifier: NCT01218776

Primary percutaneous coronary intervention in octogenarians

LBACKGROUND: Limited data are available on the outcome of primary percutaneous coronary intervention (PCI) in octogenarian patients, as the elderly are under-represented in randomized trials. This study aims to provide insights on clinical characteristics, management and outcome of the elderly and very elderly presenting with STEMI. METHODS: 2225 STEMI patients 6570years old (mean age 76.8\ub15.1years and 53.8% men) were admitted into the network of the ISACS-TC registry. Of these patients, 72.8% were 6570 to 79years old (elderly) and 27.2% were 6580years old (very-elderly). The primary end-point was 30-day mortality. RESULTS: Thirty-day mortality rates were 13.4% in the elderly and 23.9% in the very-elderly. Primary PCI decreased the unadjusted risk of death both in the elderly (OR: 0.32, 95% CI: 0.24-0.43) and very-elderly patients (OR: 0.45, 95% CI 0.30-0.68), without significant difference between groups. In the very-elderly hypertension and Killip class 652 were the only independent factors associated with mortality; whereas in the elderly female gender, prior stroke, chronic kidney disease and Killip class 652 were all factors independently associated with mortality. Factors associated with the lack of use of reperfusion were female gender and atypical chest pain in the very-elderly and in the elderly; in the elderly, however, there were some more factors, namely: history of diabetes, current smoking, prior stroke, Killip class 652 and history chronic kidney disease. CONCLUSIONS: Age is relevant in the prognosis of STEMI, but its importance should not be considered secondary to other major clinical factors. Primary PCI appears to have beneficial effects in the octogenarian STEMI patients