V. S. Sundcram, G. S. Geist, J. Dongarra, and R. Mancheck. PVM concurrent computing system. Evolution, experiences, and trends. Parallel Computing 20 (4), 531-545 (April 1994). Home/Search Document Not in Database Summary Related Articles Check |
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Native Data Representation: An Efficient Wire Format.. - Eisenhauer.. (2002) (Correct)
....costs incurred for DCG at the time a new data exchange is initiated. We present our conclusion and discuss some directions for future work in Section 5. 2 Related Work Not surprisingly, performance has been the single most important goal of high performance communication packages such a PVM [13], Nexus [14] and MPI [15] Most of these packages support message exchanges in which the communicating applications pack and unpack messages, building and decoding them field by field [13, 14] By manually building their messages, applications have full control over message contents while ....
.... performance has been the single most important goal of high performance communication packages such a PVM [13] Nexus [14] and MPI [15] Most of these packages support message exchanges in which the communicating applications pack and unpack messages, building and decoding them field by field [13, 14]. By manually building their messages, applications have full control over message contents while ensuring optimized, compiled pack and unpack operations. However, relegating these tasks to the communicating applications means that the communicating components must agree on the format of messages. ....
V. S. Sunderam, A. Geist, J. Dongarra, and R. Manchek, "The PVM concurrent computing system," Parallel Computing, vol. 20, pp. 531-545, March 1994.
Native Data Representation: An Efficient Wire Format.. - Eisenhauer.. (2001) (Correct)
....costs incurred for DCG at the time a new data exchange is initiated. We present our conclusion and discuss some directions for future work in Section 5. 2 Related Work Not surprisingly, performance has been the single most important goal of highperformance communication packages such a PVM [13], Nexus [14] and MPI [15] Most of these packages support message exchanges in which the communicating applications pack and unpack messages, building and decoding them eld by eld [13, 14] By manually building their messages, applications have full control over message contents while ....
.... performance has been the single most important goal of highperformance communication packages such a PVM [13] Nexus [14] and MPI [15] Most of these packages support message exchanges in which the communicating applications pack and unpack messages, building and decoding them eld by eld [13, 14]. By manually building their messages, applications have full control over message contents while ensuring optimized, compiled pack and unpack operations. However, relegating these tasks to the communicating applications means that the communicating components must agree on the format of messages. ....
V. S. Sunderam, A. Geist, J. Dongarra, and R. Manchek, \The PVM concurrent computing system," Parallel Computing, vol. 20, pp. 531-545, March 1994.
Design and Implementation of a General Purpose Parallel.. - Chu-Carroll, Pollock (1995) (Correct)
....portability of these constructs to a wide variety of base languages, and (4) a reasonable increase in performance over the sequential codes on a network cluster. Current approaches to parallel programming for network clusters can be divided into explicit message passing [AH92, Chi92, GKSK94, JH93, SGDM94, MPI94] coarse grain data parallel[LRV92, RSW91, Ble90, Sch92] and distributed shared memory systems[CG90, MFL93] Explicit message passing and distributed shared memory systems are both difficult to use for complex data structures in general purpose applications, since they do not provide any ....
V. S. Sundcram, G. S. Geist, J. Dongarra, and R. Mancheck. Pvm concurrent computing system. evolution, experiences, and trends. Parallel Computing, 20(4):531--545, April 1994.
Compiling and Optimizing Dynamic Parallel Programs - Mark Chu-Carroll Carroll (Correct)
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V. S. Sundcram, G. S. Geist, J. Dongarra, and R. Mancheck. PVM concurrent computing system. Evolution, experiences, and trends. Parallel Computing 20 (4), 531-545 (April 1994).
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