Department of Physics and Astronomy of the University of Padua
The Cosmology group of the Department of Physics and Astronomy uses CloudVeneto to numerically solve integrals and differential equations necessary for studying the temporal evolution of various cosmological observables, including anisotropies and spectral distortions of the cosmic microwave background radiation. Studying these observables has allowed us to produce forecasts regarding the capabilities of various future experiments (e.g., the PIXIE and CORE satellites) to provide information on various inflationary models.
We particularly appreciated the platform’s ability to create virtual machines with various numbers of cores and varying amounts of RAM. Given the large amount of memory required by our specific applications, they are difficult to optimize on cluster systems. The ability to use many cores with shared memory has allowed us to fully utilize the available resources.
Equally appreciated is the ability to autonomously manage our virtual machines.
Dr. Andrea Ravenni
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