Published August 1995
| Version v1
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An efficient implementation of a backpropagation learning algorithm on quadrics parallel supercomputer
- 1. ENEA, Casaccia (Italy). Dip. Innovazione
- 2. Rome Univ. La Sapienza (Italy). CASPUR
Description
A parallel implementation of a library to build and train Multi Layer Perceptrons via the Back Propagation algorithm is presented. The target machine is the SIMD massively parallel supercomputer Quadrics. Performance measures are provided on three different machines with different number of processors, for two network examples. A sample source code is given
Availability note (English)
MF available from INIS under the Report Number.Files
27006292.pdf
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Additional details
Publishing Information
- Imprint Pagination
- 14 p.
- ISSN
- 1120-5571
- Report number
- ENEA-RT-INN--95-12
Conference
- Title
- HPCN'95 - EUROPE.
- Dates
- May 1995.
- Place
- Milan (Italy).
INIS
- Country of Publication
- Italy
- Country of Input or Organization
- Italy
- INIS RN
- 27006292
- Subject category
- S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; EXPERT SYSTEMS; KNOWLEDGE BASE; LEARNING; NEURAL NETWORKS; PARALLEL PROCESSING; PROGRAMMING; SUPERCOMPUTERS
- Descriptors DEC
- COMPUTERS; DIGITAL COMPUTERS