Generalized multiprocessing and multiprogramming systems
AFIPS '63 (Fall) Proceedings of the November 12-14, 1963, fall joint computer conference
A time-shared hybrid simulation facility
AFIPS '66 (Spring) Proceedings of the April 26-28, 1966, Spring joint computer conference
Effects of scheduling on file memory operations
AFIPS '67 (Spring) Proceedings of the April 18-20, 1967, spring joint computer conference
Adjusted fair scheduling and non-linear workload prediction for QoS guarantees in grid computing
Computer Communications
Fair Scheduling Algorithms in Grids
IEEE Transactions on Parallel and Distributed Systems
An on-line multiprocessing interactive computer system for neurophysiological investigations
AFIPS '68 (Spring) Proceedings of the April 30--May 2, 1968, spring joint computer conference
Family I: software for NASA-Ames simulation systems
AFIPS '68 (Fall, part I) Proceedings of the December 9-11, 1968, fall joint computer conference, part I
New horizons for magnetic bulk storage devices
AFIPS '68 (Fall, part II) Proceedings of the December 9-11, 1968, fall joint computer conference, part II
AFIPS '70 (Spring) Proceedings of the May 5-7, 1970, spring joint computer conference
A time shared I/O processor for realtime hybrid computation
AFIPS '69 (Fall) Proceedings of the November 18-20, 1969, fall joint computer conference
Scheduling of time critical processes
AFIPS '72 (Spring) Proceedings of the May 16-18, 1972, spring joint computer conference
A high performance computing system for time critical applications
AFIPS '71 (Fall) Proceedings of the November 16-18, 1971, fall joint computer conference
Weighted deficit earliest departure first scheduling
Computer Communications
Future Generation Computer Systems
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A significant recent development in hybrid computation is the increasing use of multiprogramming techniques and multiprocessing hardware. To some extent this trend is motivated by the development of multi-user systems in the pure digital field. However, the primary justification for hybrid multiprogramming is economic. It is possible to show that, by sharing a large, powerful central facility, the cost-per-computation can be reduced by almost an order of magnitude, as compared with the alternative of using several smaller, wholly-committed computers.