The 3-D parallel processor applied to matrix multiplication
Karl Cheng, Alan Cheng · 2013
Matrix multiplication and inversion are frequently used in various fields for research and engineering application. It is a very important tool for imaging processing, speech recognition and signal processing such as spectral analysis, beam forming ⋯ etc... As the area of computer application has broadened, the quantity of data to be operated has greatly increased. With a serial machine as we have now in the 2-D computer system it is becoming too much time consuming in computation to meet the applications. The speed of data procession can be increased or improved by using a 3-D parallel processor, a 3-D IC hardware machine. This paper will describe how this 3-D IC design architecture for handling great number of data processing such as matrix computation as an example in comparing with the current 2-D machine in processing power and execution time.