Parallel Algorithms: From Challenges to Opportunities
阅读材料
Parallel Algorithms: From Challenges to Opportunities
Parallel algorithms, a computing method common in modern computers, solve problems faster by dividing a task into smaller parts that run at the same time. Instead of checking every item in a huge database one by one as in a sequential algorithm, a parallel algorithm might split the job across multiple processor cores, each checking a portion of the data simultaneously.
In healthcare, parallel algorithms play a crucial role in analyzing large datasets quickly. When researchers simulate how a virus spreads through a population, they need to process millions of data points—like infection rates and demographics. Using parallel processing, these simulations can run in minutes instead of hours, helping public health officials make faster decisions during outbreaks. However, if too much data is sent to the processors at once without proper management, the system slows down.
One of the strengths of parallel algorithms is their versatility. █ Developers can tailor them to work efficiently on different types of hardware, such as graphics processing units (GPUs), which are especially good at handling many tasks at once. █ This is a big reason why deep learning—used in things like facial recognition—has advanced so quickly. █ Training a deep learning model would be nearly impossible without parallel computing.█
Question 1查看单题
What does the passage indicate about sequential algorithms?
查看答案
正确答案:A
Question 2查看单题
Why does the author discuss the simulation of the spread of a virus?
查看答案
正确答案:B
Question 3查看单题
Identify the sentence in paragraph 2 that indicates that parallel algorithms have challenges. Select the sentence to make your choice.
查看答案
参考答案:However, if too much data is sent to the processors at once without proper management, the system slows down.
Question 4查看单题
The word "tailor" in the passage is closest in meaning to
查看答案
正确答案:C
Question 5查看单题
There are four locations █ in the passage that indicate where the following sentence could be added.
In light of their many advantages, parallel algorithms will surely continue to drive innovation in diverse areas like climate modeling and financial analysis.