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Karan Vahi

Researcher at University of Southern California

Publications -  101
Citations -  11461

Karan Vahi is an academic researcher from University of Southern California. The author has contributed to research in topics: Workflow & Workflow management system. The author has an hindex of 36, co-authored 95 publications receiving 10208 citations. Previous affiliations of Karan Vahi include National University of Ireland & Information Sciences Institute.

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GW170104: Observation of a 50-Solar-Mass Binary Black Hole Coalescence at Redshift 0.2

B. P. Abbott, +1065 more
TL;DR: The magnitude of modifications to the gravitational-wave dispersion relation is constrain, the graviton mass is bound to m_{g}≤7.7×10^{-23} eV/c^{2} and null tests of general relativity are performed, finding that GW170104 is consistent with general relativity.
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Pegasus: A framework for mapping complex scientific workflows onto distributed systems

TL;DR: The results of improving application performance through workflow restructuring which clusters multiple tasks in a workflow into single entities are presented.
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Pegasus, a workflow management system for science automation

TL;DR: An integrated view of the Pegasus system is provided, showing its capabilities that have been developed over time in response to application needs and to the evolution of the scientific computing platforms.
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Characterizing and profiling scientific workflows

TL;DR: A characterization of workflows from six diverse scientific applications, including astronomy, bioinformatics, earthquake science, and gravitational-wave physics is provided, based on novel workflow profiling tools that provide detailed information about the various computational tasks that are present in the workflow.
Journal ArticleDOI

Genetic analyses of diverse populations improves discovery for complex traits

Genevieve L. Wojcik, +90 more
- 27 Jun 2019 - 
TL;DR: The value of diverse, multi-ethnic participants in large-scale genomic studies is demonstrated and evidence of effect-size heterogeneity across ancestries for published GWAS associations, substantial benefits for fine-mapping using diverse cohorts and insights into clinical implications are shown.