Niall Gaffney

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Jetstream will be the first production cloud resource supporting general science and engineering research within the XD ecosystem. In this report we describe the motivation for proposing Jetstream, the configuration of the Jetstream system as funded by the NSF, the team that is implementing Jetstream, and the communities we expect to use this new system.(More)
As part of the development of the National Virtual Observatory (NVO), a Data Grid for astronomy, we have developed a prototype science application to explore the dynamical history of galaxy clusters by analyzing the galaxies' morphologies. The purpose of the prototype is to investigate how Grid-based technologies can be used to provide specialized(More)
The growth in the capacity and capability of NAND Flash based storage systems have changed the face of data oriented computational systems. These systems have become both more capable and flexible in how they are used. With these changes comes both increased potential and user complexity. While many systems attempt to hide this complexity through the(More)
With the growth of data in science and engineering fields and the I/O intense technologies used to carry out research with these massive datasets, it has become clear new solutions to support data research is required. In support of this, the Texas Advanced Computing Center presents Wrangler, the first open science research platform built from the ground up(More)
We present an overview of the recently funded “Merging Science and Cyberinfrastructure Pathways: The Whole Tale” project (NSF award #1541450). Our approach has two nested goals: 1) deliver an environment that enables researchers to create a complete narrative of the research process including exposure of the data-topublication lifecycle, and 2)(More)
The Stampede 1 supercomputer was a tremendous success as an XSEDE resource, providing more than eight million successful computational simulations and data analysis jobs to more than ten thousand users. In addition, Stampede 1 introduced new technology that began to move users towards many core processors. As Stampede 1 reaches the end of its production(More)
Over the years, R has been adopted as a major data analysis and mining tool in many domain fields. As Big Data overwhelms those fields, the computational needs and workload of existing R solutions increases significantly. With recent hardware and software developments, it is possible to enable massive parallelism with existing R solutions with little to no(More)
When the identity of a next generation sequencing sample is lost, reads or assembled contigs are aligned to a database of known genomes and classified as the match with the most hits. However, any alignment based methods are very expensive when dealing with millions of reads and several thousand genomes with homologous sequences. Instead of relying on(More)
We describe our scheme for scheduling and observing with the Hobby★Eberly Telescope (HET). The HET will be operated 85% of the time in a queue-scheduled, service observing mode. Principal Investigators (PIs) use software planning tools to determine how to make their observations with the HET, and submit proposals for telescope time to local Time Allocation(More)
This paper presents a summary of the first 10 years of operating the Hobby-Eberly Telescope (HET) in queue mode. The scheduling can be quite complex but has worked effectively for obtaining the most science possible with this uniquely designed telescope. The queue must handle dozens of separate scientific programs, the involvement of a number of(More)
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