Applications experience on Warp

نویسنده

  • JON A. WEBB
چکیده

The prototype Warp* machine at Carnegie Mellon is being used to develop new applications in magnetic resonance image processing, as a research tool in image texture analysis, and for scientific computing. In these areas, orders of magnitude speedup over conventional computers are being observed. These new applications build on our use of Warp for low level vision, which is the area for which the machine was originally designed. Experience with the prototype Warp machine has led to rules that programmers should follow to achieve best performance in their application. These rules concern all levels of the Warp system, from input and output ordering to programming each individual Warp cell to memory use in Warp's host. The new printed circuit board version of Warp incorporates several architectural improvements, which lead to better support of a wider class of applications. An ambitious design for implementation of Warp in custom VLSI is underway, which promises an increase of at least ten in cost-performance over the current version of Warp, together with the opportunity to build much more powerful systolic arrays delivering GigaFLOPS performance. * warp is a service mark of Carnegie Mellon University

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تاریخ انتشار 2010