Glenn K. Lockwood (glennklockwood)

glennklockwood

Geek Repo

Company:@Microsoft

Location:Oakland, CA

Home Page:https://www.glennklockwood.com/

Twitter:@glennklockwood

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Glenn K. Lockwood's repositories

rpi-ansible

Ansible playbook for configuring a fresh install of Raspbian

atgtools

Various tools created for my work in NERSC ATG

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beaglebone-pru

Fun with BeagleBone PRUs and other coprocessors

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beaglebone-sensehat

Using the Raspberry Pi Sense HAT with BeagleBone Black

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iolab

IO Lab - I/O Performance Experiments

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beaglebone-ai

Code related to experimentation with BeagleBone AI

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md-intro

material to support a basic introduction to molecular dynamics

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hello

Hello

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hpc-social-blog

Community syndicated blog for hpc.social! 🗒️

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limelead

My personal website's content and build framework

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az-hop

The Azure HPC On-Demand Platform provides an HPC Cluster Ready solution

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azure-architecture-center

Open Source documentation for the Azure Architecture Center on Microsoft Docs

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azurehpc

This repository provides easy automation scripts for building a HPC environment in Azure. It also includes examples to build e2e environment and run some of the key HPC benchmarks and applications.

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elbencho

A distributed storage benchmark for file systems, object stores & block devices with support for GPUs

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elbencho-test

Testing with Elbencho

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glockdocker

Assorted Dockerfiles I've put together

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hpc-procurements

Public requests for proposals for large-scale HPC systems

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huggingface-course

Scratch space for following along with 🤗 courses

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iopup

I/O Performance Under Pressure

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ior

Glenn's fork of IOR

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learning-azure

Stuff I've scraped together while learning HPC on Azure

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n10ioana

NERSC-10 I/O analysis tools

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nersc-drive-health

Tools used to generate the NERSC SSD health dataset(s)

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plantower-pmsa300i

Code for playing with Plantower PMSA300I Air Quailty Sensor

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pytokio

A development fork of NERSC's pytokio package

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spark-trace-analysis

Scripts to analyze Spark's performance

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tokio-nersc

TOKIO Utilities for NERSC

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vast-eval-public

Data and analysis accompanying a paper to be presented at PDSW 2021.

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