Thinking Machines Corporation 1993a. CMMD User's Guide Version 3.0. Cambridge, Massachusetts: Thinking Machines Corporation. Home/Search Document Not in Database Summary Related Articles Check |
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Computational Models of White-Tailed Deer in the Florida.. - Abbott Berry (1997) (Correct)
....University of Tennessee, Knoxville contains 32 processing nodes (although tens to thousands are possible) connected via a fat tree architecture. Processing nodes (PNs) are the processors that perform actual computations on parallel data and communicate with each other as necessary, to share data [14]. Each PN has a 32 MHz SPARC 2 processor, 32 Mbytes of memory, and a 128 Mflops vector processing unit capable COMPUTATIONAL MODELS OF WHITE TAILED DEER 3 of performing 64 bit floating point and integer operations [11] Control processors (CPs) manage the processing nodes and I O devices. The ....
Thinking Machines Corporation 1993a. CMMD User's Guide Version 3.0. Cambridge, Massachusetts: Thinking Machines Corporation.
Computational Models of White-Tailed Deer in the Florida.. - Abbott Berry (1997) (Correct)
....necessary initializations and then invokes the node program. In the hostless programming model, the host is utilized only as an I O server and to initiate and terminate program execution. A single program runs independently on each node, and communication is achieved through message passing [13]. For parallelizing SIMPDEL, the hostless programming model was used. Message passing was accomplished through the use of communication routines supplied by the CMMD library, version 3.0. 1.2. Notations In the following sections, PN i refers to the current processor only, and PN j and PN k refer ....
Thinking Machines Corporation 1993b. CMMD Reference Manual Version 3.0. Cambridge, Massachusetts: Thinking Machines Corporation.
Hyper-Systolic Parallel Computing - Th Lippert (1998) (1 citation) (Correct)
....two arrays of coordinates, x = i x 1 x 2 j , describe the position of the given particle. The momenta do not enter the computation of Eq. 18. 5.2 Implementation issues At this stage the individual features of the programming languages and network topologies are discussed. CM FORTRAN [19] This parallel language supports the concept of virtual processors. From the user s point of view, it allows to emulate a virtual parallel machine with n virtual processors, whereas the real machine has p real processors. In principle, the user can write programs as if there would be a machine ....
Thinking Machines Corporation (TMC): CM Fortran User's Guide, (Cambridge, Massachusetts: Thinking Machines Corporation, 1994).
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