[Crib-list] SPEAKER: Prof. Gene Cooperman (Northeastern University) -- Monday, Jan. 26 -- 11AM -- Room 32-15

[chris hill]

Another interesting CUDA related seminar Monday Jan 26 - see below.

Chris


What: Out-of-Core Programming with NVIDIA's CUDA
Who: Prof. Gene Cooperman, College of Computer and Information Science, 
Northeastern University
Where: #32-155
When: Monday January 26 at 11am (1h)
Host: Nicolas Pinto (as part of 6.963 IAP CUDA @ MIT)

Abstract:

The word "core" in this title has a double meaning. The older term core 
refers to an ancient implementation of RAM. The newer term core refers 
to a CPU or GPU core. For example, each NVIDIA SM (streaming 
multiprocessor) currently has eight cores. The amount of on-chip memory, 
or cache, on an SM is some small number of kilobytes. We will abuse the 
term out-of-core to refer to data that lies off-chip (outside the SM).

The key to efficiency in many CUDA algorithms is to efficiently move 
data between on-chip cache (for in-core programming), and off-chip 
global memory on the video baord (for out-of-core programming). As the 
dual use of the term core implies, CUDA programming is not the first 
example in which skill in out-of-core programming has been important. 
This talk will clarify the issue by abstracting the issue of out-of-core 
programming. It will then discuss some principles that we have found 
useful in our own lab, and their application both to CUDA programming
and to disk-based programming.