Laboratory of Precision Environmental Health 630 West 168th Street Room 16-416 New York, NY 10032 Amazon Web Services (AWS) Immersion Guide Elastic Compute Cloud Instances (EC2) High-Performance Computing (EC2 and AMIs): By utilizing the higher network speeds offered through launching Amazon Machine Images (AMIs), the laboratory will utilize Elastic Cloud Computing 2 (EC2) for high performance genomic computing. Many of our large datasets take considerable time to run, and AMIs will help accelerate the speed by which lab members can complete computational jobs. Workflow*: Prerequisite: A computer, patience, excitement, and MFA/DUO Factor Login. If you need to enable this, please set itup at at https://cuit.columbia.edu/mfa *This tutorial is intended to be for Baccarelli Lab computers and is intended for Windows only. Step One. Login to your AWS Account at https://cuit.columbia.edu/aws ↓ Step Two. Create an Amazon EC2 Instance by clicking, “Launch Instance”.
13
Embed
Room 16-416 Amazon Web Services ... - Cloud Object Storage€¦ · Amazon Web Services (AWS) Immersion Guide Elastic Compute Cloud Instances ... the laboratory will utilize Elastic
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
High-Performance Computing (EC2 and AMIs): By utilizing the higher network speeds offered through launching Amazon Machine Images (AMIs), the laboratory will utilize Elastic Cloud Computing 2 (EC2) for high performance genomic computing. Many of our large datasets take considerable time to run, and AMIs will help accelerate the speed by which lab members can complete computational jobs.
Workflow*: Prerequisite: A computer, patience, excitement, and MFA/DUO Factor Login.
If you need to enable this, please set itup at at https://cuit.columbia.edu/mfa
*This tutorial is intended to be for Baccarelli Lab computers and is intended for Windows only.
Step One. Login to your AWS Account at https://cuit.columbia.edu/aws
↓
Step Two. Create an Amazon EC2 Instance by clicking, “Launch Instance”.