Shel Swenson

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Challenges related to development, deployment, and maintenance of reusable software for science are becoming a growing concern. Many scientists' research increasingly depends on the quality and availability of software upon which their works are built. To highlight some of these issues and share experiences, the First Workshop on Sustainable Software for(More)
The advent of Next Generation Sequencing (NGS) technology more than half a decade ago produced a deluge of DNA sequence data by completely altering the scale at which sequence data is generated and dramatically reducing sequencing costs. Both the increase in sheer volume of data being produced —fed by the continually increasing throughput and decreasing(More)
Sign learning kink-based (silk) quantum monte carlo for molecular systems. Summary of the first workshop on sustainable software for science: Practice and experiences (WSSSPE1). A survey of high level frameworks in block-structured adaptive mesh refinement packages. A new open source general-relativistic magnetohydrodynamics code for the Einstein Toolkit.
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