Stream Processing Considerations
Available documentation on Stream processing is very scarce as of this writing (September 12, 2005). Only a few specialized institutions seem to have understood the implied power of the model. Stanford University has been historically involved in a variety of projects on this, beginning from the Stanford Shading language and deploying a flexible, stand-alone stream processor called Imagine. Both those projects revealed the paradigm has a great potential so a much larger scale project has been started. With the name of Merrimac, a Stream-based supercomputer is now being researched. AT&T also recognized the wide adoption of stream-enhanced processors as GPUs rapidly evolved in both speed and functionality.
Read more about this topic: Stream Processing
Famous quotes containing the word stream:
“In contrast to the flux and muddle of life, art is clarity and enduring presence. In the stream of life, few things are perceived clearly because few things stay put. Every mood or emotion is mixed or diluted by contrary and extraneous elements. The clarity of art—the precise evocation of mood in the novel, or of summer twilight in a painting—is like waking to a bright landscape after a long fitful slumber, or the fragrance of chicken soup after a week of head cold.”
—Yi-Fu Tuan (b. 1930)