MECA: A multiprocessor concept specialized to Monte Carlo [chapter]

Johndale C. Solem
Monte-Carlo Methods and Applications in Neutronics, Photonics and Statistical Physics  
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more » ... l producl, prtnmst t,r wrvicc hy trndc rrumc, trudcmnrk, mmmrwturcr, or olhcrwim dnm nol rrcecmnrily wrntitulc nr imply il~cndmcmcnt, rcctmmcmhriinn. or hwnring hy the (Irrikrl .StHIcn (invcrnmcnl or HIIy Ilgcncy Ihcrcwf. The vicwñ nd npininnrnor tiuthor~cRprcmal hcrcln do not mxcxmrily Ate (W rcflcul th(~c or Ihc []nilAStutcn (;otcrnmclll~)ronyugcncy thcrcnf. LosAllamilos DISIIIINIIH)NW llllSIW,lMEHl lSUHllMmD I compare discrete-ordinates and Monte Carlo techniques for solving integrodifferential equations and compare their relative adaptability to vector processors, 1 discuss the utility of multiprocessors for Monte Carlo calculations and describe a simple architecture (the monodirectional edgecoupled array or MECA) that seems ideally suited to Monte Carlo and overcomes many of the packaging problems associated with more general multiprocessors.
doi:10.1007/bfb0049047 fatcat:f4fhkoirhrggbhtqnwujg66p6a