Introduction to HTCondor Week 17: High-Throughput Computing

1 / 5

Embed Share

Explore the history and significance of High-Throughput Computing (HTC) introduced by Miron Livny in 1996, highlighting its role in enabling new scientific discoveries across various fields. Join the vibrant HTC community and discover the impact of advanced computing capabilities on research and innovation.

anch687 Follow

Uploaded on May 13, 2025 | 0 Views

Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

Download Presentation

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript

Welcome to HTCondor Week #17 (year 32 of our project)

In 1996 I introduced the distinction between High Performance Computing (HPC) and High Throughput Computing (HTC) in a seminar at the NASA Goddard Flight Center in and a month later at the European Laboratory for Particle Physics (CERN). In June of 1997 HPCWire published an interview on High Throughput Computing.

Increased advanced computing capability has historically enabled new science, and many fields today rely on high-throughput computing for discovery. Many fields increasingly rely on high-throughput computing Recommendation 2.2. NSF should (a) provide one or more systems for applications that require a single, large, tightly coupled parallel computer and (b) broaden the accessibility and utility of these large- scale platforms by allocating high-throughput as well as high-performance workflows to them.