This year’s INFORMS Annual Meeting in Indianapolis was a great experience. Logan went with Steve and Atharv for GAMS to the conference to have a technical talk about GAMS Engine, GAMS Connect and GAMS Transfer. Besides interesting talks and meetings with old friends, we were very happy with the GAMS sponsored basketball hoop. There was fierce competition every day between all the attendees for the prized GAMS leatherman multi-tool. Through this mini game, we had a steady stream of visitors, which helped us network with new colleagues.
We are very much looking forward to next year and the upcoming INFORMS conferences.
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Atharv and Steve had the technical tutorial on Tuesday. Below you will find the abstract of the talk.
Our Technical Tutorial
Turning Models Into Applications– GAMS Engine, GAMS Connect, and GAMS Transfer
Presented by: Dr. Atharv Bhosekar & Dr. Steven Dirkse
The right tools help you deploy your GAMS model and maximize the impact of your decision support application. If your model requires significant computational resources to solve, you may benefit from GAMS Engine, a powerful tool for solving GAMS models either on-prem or in the cloud. Engine acts as a broker between applications or users with GAMS models to solve and the computational resources used for this task. Central to Engine is a modern REST API that provides an interface to a scalable containerized system of services, providing API, database, queue, and a configurable number of GAMS workers. If you are working with data stored in different formats, or you are working with an environment such as Python, Matlab, and R, you will benefit from the GAMS Connect framework and GAMS Transfer API. GAMS Connect provides unified and platform-independent data exchange between different formats (CSV and Excel). GAMS Transfer API (available in Python, Matlab, and R) makes moving data between GAMS and your computational environment fast and easy.