***Science Gateways Hackathon
Thursday, July 26 – Friday, July 27

This hackathon introduces students attending PEARC18 to the concepts of Science Gateways. The aim of the hackathon is to stimulate interest in Science Gateways while developing projects that are of value to researchers from different disciplines. 

We anticipate 20 students to participate in the hackathon which will last for a total of 27 hours starting from Thursday July 26 at 3pm. 

The description of the hackathon and complete details are provided on the conference schedule.

Webinars to introduce participants to the concept:
Tuesday, July 10, 10am CST – https://zoom.us/j/130399191

Tuesday, July 17, 2pm CST – https://zoom.us/j/775455147

Details regarding the webinars are provided at: http://sciencegateways.org/hackathon

Awards Ceremony

The SGCI Hackathon awards ceremony will be made available both live and for later viewing. The URL will be tweeted out through the Science Gateways Twitter account. The awards ceremony will take place July 27 at 6pm EST. Prior to the awards ceremony,  participant team presentations and code sets will be tweeted out with associated links also through the twitter feed.

You can get involved by voting for your favorite team from the links! The winning team will be awarded the “Viewers Choice Award” during the final ceremony. The voting and presentations will begin July 27 between 4pm and 6pm EST.

Prepare today by following SGCI on twitter through @sciencegateways.

***Data Storage Meet-up: Challenges and Emerging Architectures for Effective, High-Performance Research Data Storage

    When: Wednesday, July 25, 10am-11am

    Where: Innovations Room, Wyndham Hotel

Modern scientific computational workloads are putting increasing strain on existing storage architectures. A decade or more ago, scientific applications were typically CPU bound. Today, many computational workflows such as those in the life sciences and data analytics are heavily IO bound and frequently involve large input, output, and temporary data sets and lots of random IO.

Traditional storage systems simply weren’t designed for the scalability and performance requirements of modern scientific workloads. The emerging use of machine learning, GPUs, and other accelerator technologies make the situation even more challenging. New storage architectures and solutions are needed to ensure that data storage will be able to keep up with the future computational demand.

Join us for three short presentations to set the stage for lively open discussion and networking. Topics include some of the key storage challenges in computational research, emerging software solutions that have shown great promise, and storage characteristics needed to support state-of-the-art scientific research. 


Overview of Storage Challenges in Scientific Research
Markus Dittrich, BioTeam

Evaluating Emerging Flash Storage Architectures for Research Computing
Ron Hawkins, SDSC

Bending the Rules of Reality for Improved Collaboration and Faster Data Access
David Hiatt, WekaIO