Title :
PANNE: a parallel computing engine for connectionist simulation
Author :
Milosavlevich, Igor Z. ; Flower, Barry G. ; Jabri, Marwan A.
Author_Institution :
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
Abstract :
PANNE (Parallel Artificial Neural Network Engine) is a parallel computing engine aimed at delivering super-computing power to numerical applications such as connectionist simulation and signal processing. The PANNE system exploits the features of the TMS320C40 DSP chip which make it suitable for building parallel computing systems. PANNE has been built with flexibility in mind; it is expandable in terms of hardware resources and supports both shared and distributed memory programming paradigms. We estimate that a system of 16 DSPs would be capable of delivering up to 80×106 connection updates per second
Keywords :
digital signal processing chips; neural nets; parallel architectures; PANNE; TMS320C40 DSP chip; connection updates; connectionist simulation; hardware resources; memory programming paradigms; parallel artificial neural network engine; parallel computing engine; signal processing; super-computing power; Acceleration; Computational modeling; Computer architecture; Digital signal processing; Digital signal processing chips; Engines; Parallel processing; Signal processing; Signal processing algorithms; Workstations;
Conference_Titel :
Microelectronics for Neural Networks, 1996., Proceedings of Fifth International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-8186-7373-7
DOI :
10.1109/MNNFS.1996.493816
