Published April 1993
| Version v1
Miscellaneous
JAERI Monte Carlo machine
- 1. Office of International Affairs, Japan Atomic Energy Research Inst. (JAERI), Tokyo (Japan)
- 2. Computing and Information Systems Center, Tokai Research Establishment, Ibaraki (Japan)
- 3. First Computer Div., NEC Corp., Tokyo (Japan)
- 4. C and C Systems Research Labs, NEC Corp., Kanagawa (Japan)
Description
The JAERI Monte Carlo Machine has been developed mainly to enhance computational performance of numerical simulations by particle models such as those by Monte Carlo methods. The features of the JAERI Monte Carlo Machine are i) vector processing capability for arithmetic operations, ii) special pipelines for fast vector processing in categorizations of particles, iii) enhanced load/store pipelines for indirectly addressed vector elements, iv) parallel processing capability for spatially and phenomenologically independent particles. The design basis performance of the machine has achieved more than ten times for KENO-IV and more than nine times for MCNP codes. (orig.)
Additional details
Publishing Information
- ISBN
- 3-923704-11-9
- Imprint Title
- Mathematical methods and supercomputing in nuclear applications. Proceedings. Vol. 2
- Imprint Pagination
- 822 p.
- Journal Page Range
- p. 341-352.
Conference
- Title
- Joint international conference on mathematical methods and supercomputing in nuclear applications (M and C and SNA '93).
- Dates
- 19-23 Apr 1993.
- Place
- Karlsruhe (Germany).
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 25062677
- Subject category
- S99: GENERAL AND MISCELLANEOUS; S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference, Non-conventional Literature
- Descriptors DEI
- COMPUTER ARCHITECTURE; COMPUTERIZED SIMULATION; JAERI; MONTE CARLO METHOD; PARALLEL PROCESSING; SUPERCOMPUTERS; VECTOR PROCESSING
- Descriptors DEC
- CALCULATION METHODS; COMPUTERS; DIGITAL COMPUTERS; JAPANESE ORGANIZATIONS; NATIONAL ORGANIZATIONS; PROGRAMMING; SIMULATION