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The ability to apply data-driven design principles to customize new CI investment to best serve the intended community as well as provide fact-based justification for its need is critical given the important role it plays in research and economic development and its high cost. Here we describe a data driven approach to CI sys- tem design based on workload analyses obtained using the popular open-source CI management tool Open XDMoD, and how it was leveraged in a procurement to provide end-users with an additional 5.6 million CPU hours annually, with subsequent procurements following similar design goals. In addition to system design, we demonstrate Open XDMoD’s utility in providing fact-based justifi- cation for the CI procurement through usage metrics of existing CI resources. 

This work presents a framework for estimating job wait times in High-Performance Computing (HPC) scheduling queues, leverag- ing historical job scheduling data and real-time system metrics. Using machine learning techniques, specifically Random Forest and Multi-Layer Perceptron (MLP) models, we demonstrate high accuracy in predicting wait times, achieving 94.2% reliability within a 10-minute error margin. The framework incorporates key fea- tures such as requested resources, queue occupancy, and system utilization, with ablation studies revealing the significance of these features. Additionally, the framework offers users wait time esti- mates for different resource configurations, enabling them to select optimal resources, reduce delays, and accelerate computational workloads. Our approach provides valuable insights for both users and administrators to optimize job scheduling, contributing to more efficient resource management and faster time to scientific results. 

Abstract The Cretaceous is characterized as a greenhouse climate from elevated atmospheric carbon dioxide concentrations, transgressive seas, and temperate ecosystems at polar paleolatitudes. Here we test the hypothesis that the early Cretaceous was a cold climate state with a new Aptian atmospheric carbon dioxide record from the C₃plant proxy and early Cretaceous sea level curve from stable oxygen isotopes of belemnites and benthic foraminifera. Results show that carbon dioxide concentrations were persistently below 840 ppm during the Aptian, validating recent General Circulation Model simulations of ice sheets on Antarctica at those concentrations. In addition, sea level was estimated to be within the ice sheet window for much of the early Cretaceous prior to the Albian. This background state appears to have been episodically interrupted by Large Igneous Province volcanism followed by long-term carbon burial from weathering. We hypothesize that the early Cretaceous was largely an icehouse punctuated by warm snaps. 

ACCESS is a program established and funded by the National Sci- ence Foundation to help researchers and educators use the NSF na- tional advanced computing systems and services. Here we present an analysis of the usage of ACCESS allocated cyberinfrastructure over the first 16 months of the ACCESS program, September 2022 through December 2023. For historical context, we include analyses of ACCESS and XSEDE, its NSF funded predecessor, for the ten-year period from January 2014 through December 2023. The analyses in- clude batch compute resource usage, cloud resource usage, science gateways, allocations, and users.