scholarly journals Cross-Language Interoperability in a Multi-Language Runtime

2018 ◽  
Vol 40 (2) ◽  
pp. 1-43 ◽  
Author(s):  
Matthias Grimmer ◽  
Roland Schatz ◽  
Chris Seaton ◽  
Thomas Würthinger ◽  
Mikel Luján ◽  
...  
Keyword(s):  
Language Interoperability ◽  
Cross Language

High-performance cross-language interoperability in a multi-language runtime

2016 ◽  
Vol 51 (2) ◽  
pp. 78-90 ◽  
Author(s):  
Matthias Grimmer ◽  
Chris Seaton ◽  
Roland Schatz ◽  
Thomas Würthinger ◽  
Hanspeter Mössenböck
Keyword(s):  
High Performance ◽  
Language Interoperability ◽  
Cross Language

High-performance cross-language interoperability in a multi-language runtime

2015 ◽  
Author(s):  
Matthias Grimmer ◽  
Chris Seaton ◽  
Roland Schatz ◽  
Thomas Würthinger ◽  
Hanspeter Mössenböck
Keyword(s):  
High Performance ◽  
Language Interoperability ◽  
Cross Language

scholarly journals ArrowSAM: In-Memory Genomics Data Processing Using Apache Arrow

2019 ◽  
Author(s):  
Tanveer Ahmad ◽  
Nauman Ahmed ◽  
Johan Peltenburg ◽  
Zaid Al-Ars
Keyword(s):  
Cost Effective ◽  
Data Representation ◽  
Data Sets ◽  
Memory Processing ◽  
Physical Constraints ◽  
Language Interoperability ◽  
Sequencing Technologies ◽  
Fast Processing ◽  
Computing Platforms ◽  
Cross Language

AbstractThe rapidly growing size of genomics data bases, driven by advances in sequencing technologies, demands fast and cost-effective processing. However, processing this data creates many challenges, particularly in selecting appropriate algorithms and computing platforms. Computing systems need data closer to the processor for fast processing. Traditionally, due to cost, volatility and other physical constraints of DRAM, it was not feasible to place large amounts of working data sets in memory. However, new emerging storage class memories allow storing and processing big data closer to the processor. In this work, we show how the commonly used genomics data format, Sequence Alignment/Map (SAM), can be presented in the Apache Arrow in-memory data representation to benefit of in-memory processing and to ensure better scalability through shared memory objects, by avoiding large (de)-serialization overheads in cross-language interoperability. To demonstrate the benefits of such a system, we propose ArrowSAM, an in-memory SAM format that uses the Apache Arrow framework, and integrate it into genome pre-processing pipelines including BWA-MEM, Picard and Sambamba. Results show 15x and 2.4x speedups as compared to Picard and Sambamba, respectively. The code and scripts for running all workflows are freely available at https://github.com/abs-tudelft/ArrowSAM.

scholarly journals The Challenge of Cross-language Interoperability

Queue ◽  
2013 ◽  
Vol 11 (10) ◽  
pp. 20-28
Author(s):  
David Chisnall
Keyword(s):  
Language Interoperability ◽  
Cross Language

Psychometric Parameters of the Spanish Version of the Kuwait University Anxiety Scale (S-KUAS)1

2004 ◽  
Vol 20 (4) ◽  
pp. 349-357 ◽  
Author(s):  
Ahmed M. Abdel-Khalek ◽  
Joaquin Tomás-Sabádo ◽  
Juana Gómez-Benito
Keyword(s):  
Reliability And Validity ◽  
Anxiety Scale ◽  
Spanish Version ◽  
Good Reliability ◽  
Kuwait University ◽  
Males And Females ◽  
Anxiety Levels ◽  
Arabic And English ◽  
Cross Language ◽  
Language Equivalence

Summary: To construct a Spanish version of the Kuwait University Anxiety Scale (S-KUAS), the Arabic and English versions of the KUAS have been separately translated into Spanish. To check the comparability in terms of meaning, the two Spanish preliminary translations were thoroughly scrutinized vis-à-vis both the Arabic and English forms by several experts. Bilingual subjects served to explore the cross-language equivalence of the English and Spanish versions of the KUAS. The correlation between the total scores on both versions was .93, and the t value was .30 (n.s.), denoting good similarity. The Alphas and 4-week test-retest reliabilities were greater than .84, while the criterion-related validity was .70 against scores on the trait subscale of the STAI. These findings denote good reliability and validity of the S-KUAS. Factor analysis yielded three high-loaded factors of Behavioral/Subjective, Cognitive/Affective, and Somatic Anxiety, equivalent to the original Arabic version. Female (n = 210) undergraduates attained significantly higher mean scores than their male (n = 102) counterparts. For the combined group of males and females, the correlation between the total score on the S-KUAS and age was -.17 (p < .01). By and large, the findings of the present study provide evidence of the utility of the S-KUAS in assessing trait anxiety levels in the Spanish undergraduate context.

"A cross-language study of decontextualized vocabulary comprehension in toddlerhood and kindergarten readiness": Correction to Friend et al. (2018).

2018 ◽  
Vol 54 (7) ◽  
pp. 1289-1289
Author(s):  
Margaret Friend ◽  
Erin Smolak ◽  
Yushuang Liu ◽  
Diane Poulin-Dubois ◽  
Pascal Zesiger
Keyword(s):  
Kindergarten Readiness ◽  
Language Study ◽  
Vocabulary Comprehension ◽  
Cross Language

A Short-Term Testing Effect in Cross-Language Recognition

2012 ◽  
Author(s):  
Peter P. J. L. Verkoeijen ◽  
Samantha Bouwmeester ◽  
Gino Camp
Keyword(s):  
Testing Effect ◽  
Language Recognition ◽  
Short Term ◽  
Cross Language
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