Case Study: Skidmore College accelerates human vision research with Wolfram gridMathematica

Skidmore College cuts computation time from 2 months to 4–6 hours with Wolfram

A researcher at Skidmore College faced a significant computational challenge while studying human vision and testing theoretical models. The existing models required immense processing power, and running the necessary computations on a single high-end machine was projected to take between 1.5 to 2 months for each test. To overcome this bottleneck, the researcher turned to Wolfram's gridMathematica to accelerate the work.

By implementing a grid computing solution from Wolfram using gridMathematica, the researcher created a scavenging network that utilized idle Macintosh computers across the campus. This innovative approach dramatically reduced computation times from the original 1.5-2 months down to just 4 to 6 hours for the same processes. The speed provided by Wolfram's technology enabled the research team to move beyond simply accepting or rejecting theories and instead precisely identify the specific conditions under which a model was valid.

Skidmore College