Systolic array apparatuses for matrix computations
Patent 4493048 Issued on January 8, 1985. Estimated Expiration Date: 
May 16, 2003. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
May 16, 2003. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent References 3296426 3312943 3313926 3364472 3748451 Ladder for information processing Information processing system Apparatus for the ultrasonic examination of bodies having non-planar surfaces Digital eddy current apparatus for sensing and analyzing metallurgical characteristics of an electrically conductive material Network computer system InventorsAssigneeApplicationNo. 06/494659 filed on 05/16/1983US Classes:708/607, Multiplication of matrices708/420ConvolutionExaminersPrimary: Malzahn, David H.Attorney, Agent or FirmInternational ClassesG06F 17/15 (20060101)G06F 15/76 (20060101) G06F 15/80 (20060101) AbstractA systolic array system of inner product step processors is provided in the form of a mesh connected network which rhythmically compute and pass data through the system. Each processor in the system regularly feeds data in and out, each time performing some computation, so that a regular flow of data is kept up in the network. Many basic matrix computations can be readily and efficiently pipelined on systolic array network systems according to these inventions. Such arrays enjoy simple and regular communication paths and the individual processors in the networks are substantially all identical. Similar hexagonally connected processors can, for example, optionally perform matrix multiplication and LU-decomposition of a matrix. Linearly connected systolic arrays are useful for performing a variety of other computations.Other References
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