Mathematical laboratories: a new power for the physical sciences

G. Culler
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引用次数: 6

Abstract

The concept of a mathematical laboratory has been developing throughout the lifetime of computers. The capabilities made available in systems supporting these laboratories range from symbolic integration, differentiation, and polynomial and power series manipulation, through mathematical simulation, to direct control experimental systems. About 1961 two trends, one toward what has become known as "on-line" computation, the other toward "time-sharing" had gained enough recognition to develop national support, and subsequently they have come to represent what is now known as modern computation. An on-line system provides interactive facilities by which a user can exert deterministic influence over the computation sequence; a time-sharing system provides a means by which partial computations on several different problems may be interleaved in time and may share facilities according to predetermined sharing algorithms. For reasons of economy it is hard to put a single user in direct personal control (on-line, that is) of a large-scale computer. It is equally (or even more) difficult to get adequate computation power for significant scientific applications out of any small-scale economical computer. Consequently, on-line computing has come to depend upon time-sharing as its justifiable mode of implementation. On the other hand, valuable on-line applications have formed one of the major reasons for pushing forward the development of time-sharing systems. At present, both efforts have reached such a stage of fruition that we find many systems incorporating selective aspects of the early experimental systems of both types.
数学实验室:物理科学的新力量
数学实验室的概念在计算机的整个生命周期中不断发展。在支持这些实验室的系统中提供的功能范围从符号积分、微分、多项式和幂级数操作,通过数学模拟,到直接控制实验系统。大约在1961年,两种趋势,一种是“在线”计算,另一种是“分时”计算,已经获得了足够的认可,得到了国家的支持,随后它们代表了现在被称为现代计算的东西。在线系统提供交互式设施,用户可以通过这些设施对计算顺序施加确定性影响;分时系统提供了一种方法,通过该方法,对几个不同问题的部分计算可以在时间上交错,并且可以根据预定的共享算法共享设施。由于经济原因,很难让单个用户直接个人控制(即在线)一台大型计算机。从任何小型经济型计算机中获得足够的计算能力来进行重要的科学应用同样(甚至更困难)。因此,在线计算已经开始依赖于分时作为其合理的实现模式。另一方面,有价值的在线应用已经形成了推动分时系统发展的主要原因之一。目前,这两种努力已经达到了这样的成果阶段,我们发现许多系统结合了这两种类型的早期实验系统的选择性方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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