# Is Pierre Making Pastries Faster?  URL:: https://brilliant.org/courses/computer-science-essentials/computational-problem-solving-2/parallelism/5 Author:: brilliant.org ## Highlights > Computer science uses two different words to disambiguate these two notions of “faster.” **Latency** is the time it takes for a process to go from start to finish, and **throughput** is the rate at which a system can finish processes. ([View Highlight](https://read.readwise.io/read/01g74fnbgte09s6xshhtmydmeq)) > Parallelism can improve performance by improving **latency** (the time that a task takes from beginning to end) or by improving **throughput** (the amount of tasks that can complete during a given interval of time). ([View Highlight](https://read.readwise.io/read/01g74fnehg0whnkyc90q5pypq2)) --- Title: Is Pierre Making Pastries Faster? Author: brilliant.org Tags: readwise, articles date: 2024-01-30 --- # Is Pierre Making Pastries Faster?  URL:: https://brilliant.org/courses/computer-science-essentials/computational-problem-solving-2/parallelism/5 Author:: brilliant.org ## AI-Generated Summary Computer science uses two different words to disambiguate these two notions of “faster. ## Highlights > Computer science uses two different words to disambiguate these two notions of “faster.” **Latency** is the time it takes for a process to go from start to finish, and **throughput** is the rate at which a system can finish processes. ([View Highlight](https://read.readwise.io/read/01g74fnbgte09s6xshhtmydmeq)) > Parallelism can improve performance by improving **latency** (the time that a task takes from beginning to end) or by improving **throughput** (the amount of tasks that can complete during a given interval of time). ([View Highlight](https://read.readwise.io/read/01g74fnehg0whnkyc90q5pypq2))