From the Purdue Exponent:
Graduate students at Purdue have been learning a coding technique that will help them land top-tier jobs once they graduate.
The computing industry has felt a strong push toward finding ways to compute large amounts of data with simultaneous coding. Tasks formerly delegated to a computer’s central processing units (CPUs) are now being given to graphics processing units (GPUs), which more efficiently process large amounts of data. These developments require students to acquire new effective coding skills, including the ability to perform “parallel programming,” a technique taught to students in CGT 62000, Introduction to Compute Unified Device Architecture, or CUDA.
The Exponent talked with Prof. Bedrich Benes and his graduate students about the course and its importance. Read more.