Gpu gems 2: programming techniques for high-performance graphics and general-purpose computation

By M. Pharr, Randima Fernando. 2005

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Towards dense linear algebra for hybrid GPU accelerated manycore systems (2009, background): “For example, CUDA extends the previous vision that GPUs are going to evolve towards more powerful stream processors [28], Fig.”
SPADE: the system s declarative stream processing engine (2008, background): “New opportunities in optimizing the execution model arise with the increasing diversity of the hardware available for general purpose computing, such as the Cell processor [15], graphics processors (GPUs) [18], network processors [16], etc.”