Welcome to IAP 2009 CUDA @ MIT / 6.963
Supercomputing on your desktop:
Programming the next generation of inexpensive massively parallel hardware using CUDA.
Can someone get a PhD in Computational Sciences in 2 years using cheap massively parallel graphics processors?
Students in this IAP will have the opportunity to find out.
This class will provide students with hands-on experience in parallel programming on modern commodity graphics hardware. The course will cover the parallel programming concepts (threading, communication, and memory) needed to program massively parallel graphics processors using CUDA.
Students will gain hands-on experience designing and developing the final project of their choice on high-end graphics processor systems. The course will provide the students with up to 30 theoretical Teraflops and a MacBook Pro per project.
Sponsored by: NVIDIA, The Rowland Institute at Harvard, and MIT (OEIT, BCS, EECS) [ ~ $70,000]