Communications is more than I/O

Author

Johnson, Gearold R.

Author_Institution

George T. Abell Chair in Eng., Colorado State Univ., Fort Collins, CO, USA

fYear

1994

fDate

2-6 May 1994

Firstpage

2

Lastpage

5

Abstract

For the purposes of this paper, it is my premise that hardware is not the problem for the acceptance and utilization of massively parallel computing. If hardware is not the problem, what is? The answer has to be software and a deeper understanding of parallel algorithms. However, I believe that software has to be different if massively parallel computing is to be a major factor in computing in the future. And to become so, we must make major shifts in software to facilitate this development. I present my views on appropriate software for massively parallel computing environments. Before outlining possible directions for future development, I review where we have come from

Keywords

parallel algorithms; parallel architectures; parallel programming; technological forecasting; I/O; computing environments; massively parallel computing; parallel algorithms; Computer languages; Concurrent computing; Costs; Hardware; Parallel algorithms; Parallel machines; Parallel processing; Power engineering computing; Telephony; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Massively Parallel Computing Systems, 1994., Proceedings of the First International Conference on

Conference_Location

Ischia

Print_ISBN

0-8186-6322-7

Type

conf

DOI

10.1109/MPCS.1994.367022

Filename

367022