Samuel Schlachter

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This paper presents ExSciTecH, an NSF-funded project deploying volunteer computing (VC) systems to Explore Science, Tecenology, and Health. ExSciTecH aims at radically transforming VC systems and the volunteer's experience. To pursue this goal, ExSciTecH integrates and uses gameplay environments into BOINC, a well-known VC middleware, to involve the(More)
The Quake-Catcher Network (QCN) uses low-cost sensors connected to volunteer computers across the world to monitor seismic events. The location and density of these sensors' placement can impact the accuracy of the event detection. Because testing different special arrangements of new sensors could disrupt the currently active project, this would best be(More)
The Quake-Catcher Network (QCN) project uses the low-cost sensors, i.e., accelerometers attached to volunteers’ computers, to detect earthquakes. The master-worker topology currently used in QCN and other similar projects suffers from major weaknesses. The centralized master can fail to collect data if the volunteers’ computers cannot connect to the(More)
To address the challenge of pursuing coordinated trajectory progression and efficient resource utilization of GPU-enabled molecular dynamics (MD) simulations on nondedicated high-end clusters, our work aims to supplement, rather than rewrite, existing workflow and resource managers. To this end, we propose a companion module that complements workflow(More)
Efficiently studying Sodium Dodecyl Sulfate (SDS) molecules' formations in the presence of different molar concentrations on high-end GPU clusters whose nodes share accelerators exposes us to several challenges, including the need to dynamically adapt the job lengths. Neither virtualization nor lightweight OS solutions can easily support generality,(More)
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