Title :
The RAP: a ring array processor for layered network calculations
Author :
Morgan, N. ; Beck, J. ; Kohn, P. ; Bilmes, J. ; Allman, E. ; Beer, J.
Author_Institution :
Int. Comput. Sci. Inst., Berkeley, CA, USA
Abstract :
The authors have designed and implemented a ring array processor, RAP, for fast implementation of layered neural network algorithms. The RAP is a multi-DSP system targeted at continuous speech recognition using connectionist algorithms. Four boards, each with four Texas Instruments, TMS 320C30 DSPs, serve as an array processor for a 68020-based host running a real-time operating system. The overall system is controlled from a Sun workstation via the Ethernet. Each board includes 16 MB of dynamic memory (expandable to 64 MB) and 1 MB of fast static RAM. Theoretical peak performance is 128 MFLOPS/board, and test runs with the first working board show a sustained throughput of roughly one-third to one-half of this for algorithms of interest. Software development is aided by a Sun workstation-based command interpreter, tools from the standard C environment and a library of matrix and vector routines
Keywords :
computerised signal processing; digital signal processing chips; neural nets; parallel architectures; real-time systems; speech recognition; 1 MB; 128 MFLOPS; 16 MB; 68020-based host; Ethernet; RAP; SRAM; Sun workstation; TMS 320C30; Texas Instruments; connectionist algorithms; continuous speech recognition; dynamic memory; fast implementation; layered network calculations; layered neural network algorithms; multi-DSP system; real-time operating system; ring array processor; software development; standard C environment; static RAM; vector routines; workstation-based command interpreter; Algorithm design and analysis; Control systems; Digital signal processing; Instruments; Neural networks; Operating systems; Real time systems; Speech recognition; Sun; Workstations;
Conference_Titel :
Application Specific Array Processors, 1990. Proceedings of the International Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-8186-9089-5
DOI :
10.1109/ASAP.1990.145467