With today's announcement of 35 new CUDA Research Centers and CUDA Teaching Centers spread over 14 different countries and over 400 universities around the world which now include parallel programming using GPUs or graphics processing units in their curriculum today and leveraging the massive processing power being afforded by this level of expertise, today's most complex computing issues are closer then ever to being solved.
Using Parallel Computing for data analysis is helping to solve today's most complex and process intensive computations and adding 35 new research centers will insure the use of this skill in future systems
Entire organizations suffer when their networks can't keep up and new opportunities are put on hold. Waiting on service providers isn't good business. In these examples, learn how to simplify network management so that your organization can better manage costs, adapt quickly to business demands, and seize market opportunities when they arise.
Today's enterprise datacenter can be one of the most complex business environments with dozens (for smaller business), hundreds (for larger and midsize business), even thousands (for hyperscale businesses) of servers that must be managed and monitored. At this level, just managing the cords can be challenging — let alone keeping up with the growing need for more agility and scalability within the datacenter. Simply put, companies are aggressively looking for less complexity and more agility from their …