IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
A Sliding Memory Plane Array Processor
IEEE Transactions on Parallel and Distributed Systems
Design and Implementation of a Parallel Image Processor Chip for a SIMD Array Processor
ASAP '95 Proceedings of the IEEE International Conference on Application Specific Array Processors
Introducing MGAP-2 [Micro-Grain Array Processor]
FRONTIERS '95 Proceedings of the Fifth Symposium on the Frontiers of Massively Parallel Computation (Frontiers'95)
LIPP - a SIMD multiprocessor architecture for image processing
ISCA '83 Proceedings of the 10th annual international symposium on Computer architecture
Design of a Massively Parallel Processor
IEEE Transactions on Computers
A compact real-time vision system using integrated memory array processor architecture
IEEE Transactions on Circuits and Systems for Video Technology
A High Speed VLSI Architecture for Handwriting Recognition
Journal of VLSI Signal Processing Systems - Parallel VLSI architectures for image and video processing
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This paper describes architectures and design of a general purpose parallel image processor chip called a SliM-II Image Processor. The chip has a linear array of 64 processing elements (PEs), operates at 30 MHz in the worst case simulation and gives 1.92 GIPS. SliM-II can greatly reduce the inter-PE communication overhead, due to the idea of sliding that is overlapping inter-PE communication with computation. In contrast to existing array processors, each PE has a multiplier that is quite effective for convolution, template matching, etc. The instruction set can execute an ALU operation, data I/O, and inter-PE communication simultaneously in an instruction cycle. In addition, during the ALU /multiplier operation, SliM-II provides parallel load/store between the register file and on-chip memory as in DSP chips. The bandwidth of data I/O and inter-PE communication increases due to bit-parallel paths. We developed VHDL models and performed logic synthesis using the COMPASS(TM) CAD tool. We used the COMPASS(TM) 3.3 V 0.6 um standard cell library (v8r4.9.1). The total number of transistors is about 1.5 millions. The SliM-II chip is being fabricated at the LG Semiconductor Co., Ltd. The performance estimation shows a significant improvement for algorithms requiring multiplications compared with existing array processors.