Chapter 33. Implementing Efficient Parallel Data Structures on GPUs
Aaron LefohnUniversity of California, Davis
Joe KnissUniversity of Utah
John OwensUniversity of California, Davis
Modern GPUs, for the first time in computing history, put a data-parallel, streaming computing platform in nearly every desktop and notebook computer. A number of recent academic research papers—as well as other chapters in this book—demonstrate that these streaming processors are capable of accelerating a much broader scope of applications than the real-time rendering applications for which they were originally designed. Leveraging this computational power, however, requires using a fundamentally different programming model that is foreign to many programmers. This chapter ...
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