CONTENTS
MARCH/APRIL 2008
VOL. 6 NO. 2
FOCUS
GPUs
Data-Parallel Computing 30
Chas. Boyd, Microsoft
Developers need a programming paradigm
that scales with today’s increasing core counts.
Is data parallelism the answer?
Future Graphics Architectures 54
William Mark, Intel and University of Texas, Austin
What might the graphics processors
of the future look like?
GPUs: A Closer Look 18
Kayvon Fatahalian and Mike Houston, Stanford University
What you should know about GPUs.
Scalable Parallel Programming with CUDA 40
John Nickolls, Ian Buck, and Michael Garland, NVIDIA,
and Kevin Skadron, University of Virginia
Can CUDA make parallel programming
straightforward and scalable?
