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  1. ; ; ; ; ; ; ; ; ; ; et al (, IEEE)
    September 2023 marked the 50th anniversary of the Electronic Visualization Laboratory (EVL). This paper summarizes EVL’s efforts in Visual Data Science, with a focus on the many networked, immersive, collaborative visualization and virtual-reality (VR) systems and applications the Lab has developed and deployed, as well as lessons learned and future plans. 
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    Free, publicly-accessible full text available March 8, 2026
  2. ; ; (, 2022 Practice & Experience in Advanced Research Computing (PEARC22))
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  3. ; ; ; ; ; ; ; ; ; ; et al (, 2022 IEEE 18th International Conference on e-Science (e-Science))
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  4. ; ; ; (, 2021 IEEE 17th International Conference on eScience (eScience))
    HTCondor is a major workload management system used in distributed high throughput computing (dHTC) environments, e.g., the Open Science Grid. One of the distinguishing features of HTCondor is the native support for data movement, allowing it to operate without a shared filesystem. Coupling data handling and compute scheduling is both convenient for users and allows for significant infrastructure flexibility but does introduce some limitations. The default HTCondor data transfer mechanism routes both the input and output data through the submission node, making it a potential bottleneck. In this document we show that by using a node equipped with a 100 Gbps network interface (NIC) HTCondor can serve data at up to 90 Gbps, which is sufficient for most current use cases, as it would saturate the border network links of most research universities at the time of writing. 
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