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pearsonlab
pearsonlab.github.io
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Lab workstations
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John Pearson edited this page
Jun 13, 2026
·
39 revisions
Pearson Lab High-Performance Workstations
Name(s)
Physical Location
CPUs
GPUs
Current User(s)
Other Notes
blacksword / ccn-pearson-1
Bryan 101
16-core i7-5960X
GTX TITAN X
--
Not currently operational.
mjolnir / ccn-pearson-2
Bryan 101
8-core i7-6700K
Titan X, GTX 1080
gungnir / ccn-pearson-3
Bryan 101
8-core i7-7700K
GTX 1080 Ti
Miles
nb-pearson-vorpal
Bryan 101
14-core i9-7940X
Titan Xp
David
yawarakai-te / ccn-pearson-5
Bryan 101
14-core i9-7940X
GTX 1080 Ti
John, Miles
nb-pearson-fragarach
Bryan 101
18-core i9-9980XE
RTX 3090
Shiyang
nb-pearson-kladenets
Bryan 101
18-core i9-9980XE
2× RTX 2080 Ti
Liz
nb-pearson-ame-no-habakiri
Bryan 101
16-core i9-12900KS
2x RTX 3090 Ti
Trevor
nb-pearson-trishula
Bryan 101
16-core i9-12900KS
2x RTX 4090
David, Ganchao
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Home
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Access to Server via SSH
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AWS Datapipeline Architecture
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AWS for deep learning
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Behavioral Data Format
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Building faster python code with line_profiler
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CUDA setup on gungnir
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Docker notes
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GPU Monitoring
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Lab Meeting Archives
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Lab workstations
Pearson Lab High-Performance Workstations
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Linking User Folder to Secondary Hard Drive on Lab Machines (blacksword, mjolnir, and gungnir)
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Loading Plexon data into Python
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NeurIPS 2019
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Notes on legal server
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Papers
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Running Jupyter remotely
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Setting up a display computer for tasks
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Switch GPU for display and other purposes
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Things to know when installing NVIDIA drivers
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Workflow for ECoG Patients and Analysis
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Zebrafish pipeline plan
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