[揽瓜阁精读] 312.计算机革命

小白斩鸡

想带着大家每天坚持读英语，就拿来Source为WSY的文章（有500多篇），每天带着大家读，希望大家能坚持每天学习+阅读打卡；

大家可以在有限时间内阅读，本帖回复文章结构。
看不懂英语的，可以来微信群要我要中文

每日的中文大意在揽瓜阁阅读群更新


考试群：
GMAT入群／揽瓜阁入群方式：https://forum.chasedream.com/thread-1382779-1-1.html

公众号：1.考什么试
2.商校百科

申请群

1. ChaseDream 2023 MBA 申请／校友答疑／面试群：

https://forum.chasedream.com/thread-863011-1-1.html
2.英国，新加坡，美国，香港，德国商科申请群：
请加小白斩鸡进群（killgmat）
3. 行业分享交流／职业规划群：
https://forum.chasedream.com/thread-1388171-1-1.html

小红书：
1.留学+考试 最新消息 关注妥妥妥了 （小红书号：323014154）
2.求职+MBA 最新消息 关注元（小红书号：895404330)






The success that Nigerian-born computer scientist Philip Emeagwali (b. 1954) has had in designing computers that solve real-world problems has been fueled by his willingness to reach beyond established paradigms and draw inspiration for his designs from nature. In the 1980s, Emeagwali achieved breakthroughs in the design of parallel computer systems. Whereas single computers work sequentially, making one calculation at a time, computers connected in parallel can process calculations simultaneously. In 1989, Emeagwali pioneered the use of massively parallel computers that used a network of thousands of smaller computers to solve what is considered one of the most computationally difficult problems: predicting the flow of oil through the subterranean geologic formations that make up oil fields. Until that time, supercomputers had been used for oil field calculations, but because these supercomputers worked sequentially, they were too slow and inefficient to accurately predict such extremely complex movements.

To model oil field flow using a computer requires the simulation of the distribution of the oil at tens of thousands of locations throughout the field. At each location, hundreds of simultaneous calculations must be made at regular time intervals relating to such variables as temperature, direction of oil flow, viscosity, and pressure, as well as geologic properties of the basin holding the oil. In order to solve this problem, Emeagwali designed a massively parallel computer by using the Internet to connect to more than 65,000 smaller computers. One of the great difficulties of parallel computing is dividing up the tasks among the separate smaller computers so that they do not interfere with each other, and it was here that Emeagwali turned to natural processes for ideas, noting that tree species that survive today are those that, over the course of hundreds of millions of years, have developed branching patterns that have maximized the amount of sunlight gathered and the quantity of water and sap delivered. Emeagwali demonstrated that, for modeling certain phenomena such as subterranean oil flow, a network design based on the mathematical principle that underlies the branching structures of trees will enable a massively parallel computer to gather and broadcast the largest quantity of messages to its processing points in the shortest time.

In 1996 Emeagwali had another breakthrough when he presented the design for a massively parallel computer that he claims will be powerful enough to predict global weather patterns a century in advance. The computer’s design is based on the geometry of bees’ honeycombs, which use an extremely efficient three-dimensional spacing. Emeagwali believes that computer scientists in the future will increasingly look to nature for elegant solutions to complex technical problems. This paradigm shift, he asserts, will enable us to better understand the systems evolved by nature and, thereby, to facilitate the evolution of human technology.

ProZac依赖患者

Mark一下！               

ProZac依赖患者

312.计算机革命   5: 11
P1：计算机科学家P.E. 超越既定范例并从自然中汲取设计灵感，从而在设计能解决现实世界问题的计算机方面取得成功。
- 1980s, 第一个breakthroughs in the design of parallel computer systems
- 1989, pioneered the use of massively parallel computers that used a network of thousands of smaller computers → predicting the flow of oil through the subterranean geologic formations that make up oil fields.
- P.E.解决了之前的问题：超级计算机速度太慢且效率低下，无法准确预测石油通过地下地质构造的运动

P2：解释为什么会发生之前的问题，以及P.E.是如何用massively parallel computer解决的
- 让小型计算机之间互不干扰 = 树种分支模式

P3：P.E.的第二个breakthrough：设计了一个能提前一个世纪预测全球天气模式的massively parallel computer
- The computer’s design = the geometry of bees’ honeycombs (an extremely efficient three-dimensional spacing)
- P.E.认为未来的计算机科学家将越来越多地从大自然中寻找解决复杂技术问题的优雅方法

小卡lethe

scholarship！

Mywoodenromance

谢谢lz

冠冠

Mark一下！               

gmat_offer

同意！               

FROM2024

Mark一下！               

darcyzhx

同意！               

Yogee

同意！