SUrge: GPU Processing Power

What is a Graphics Processor Unit (GPU) Cluster and why was it developed?

SUrge was developed to assist researchers with computational research tasks that can take substantive advantage of the speed-up GPU’s can provide. We developed the cloud methodology to make allocating the GPU’s to a number of different workloads a simple process.

 Access to GPUs will enhance research opportunities for Syracuse students. Undergraduates and graduate students will gain practical experience with cutting-edge computing architectures.
NSF award enhances Syracuse University computational capabilities through GPU cluster

Frequently Asked Questions:

What specific computing needs does it serve?

SUrge is designed to provide GPU access to researchers to significantly increase computation capabilities, allow for development utilizing CUDA/OpenCL, and gain familiarity with GPU capabilities.  Additionally, GPU’s are used in a wide variety of academic areas; they provide a significant speed increase over traditional CPU’s for certain types of mathematical operations. SUrge is also available for rendering and photogrammetry projects of all scales and sizes.

What hardware and system configurations are available?

Over 300 GPU’s are available through SUrge in diverse configurations.

GPU models include: