cache system的音標(biāo)為：[k??? s??s?st?m]

基本翻譯為“緩存系統(tǒng)”。

速記技巧：將“cache”拆分為“ca”和“chache”，其中“ca”可以理解為“藏”，“chache”意為存儲(chǔ)的東西，結(jié)合起來(lái)就是“藏東西的地方”，即“緩存系統(tǒng)”。

Cache system這個(gè)詞的英文詞源可以追溯到拉丁語(yǔ)“cachet”和“cachinnus”，意為“隱藏”或“嘲笑”。它的變化形式包括復(fù)數(shù)形式“caches”，過(guò)去式和過(guò)去分詞形式“cached”或“cached”，現(xiàn)在分詞形式“caching”等。

相關(guān)單詞：

1. Caching（緩存）：這是cache system的核心概念，指的是將數(shù)據(jù)存儲(chǔ)在更接近用戶或更快速的位置，以減少訪問(wèn)時(shí)間。

2. Secondary cache（二級(jí)緩存）：相對(duì)于主存儲(chǔ)器，例如RAM，二級(jí)緩存通常指更小、更快、成本更低的存儲(chǔ)設(shè)備，如高速RAM或SSD。

3. Cache hit（緩存命中）：在緩存系統(tǒng)中，當(dāng)數(shù)據(jù)在緩存中可用時(shí)，稱為緩存命中。這通常意味著性能提升，因?yàn)閿?shù)據(jù)可以從更快的緩存中獲取，而不是從慢速的主存儲(chǔ)器中獲取。

4. Cache miss（緩存未命中）：當(dāng)數(shù)據(jù)不在緩存中時(shí)，稱為緩存未命中。這可能需要從主存儲(chǔ)器中獲取數(shù)據(jù)，導(dǎo)致性能下降。

5. Cache coherence（緩存一致性）：這是緩存系統(tǒng)中的一個(gè)重要概念，確保多個(gè)處理器或線程不會(huì)同時(shí)修改同一數(shù)據(jù)，從而導(dǎo)致數(shù)據(jù)不一致。

6. Cache optimization（緩存優(yōu)化）：這是為了提高緩存性能和效率而進(jìn)行的技術(shù)和策略。

7. Cache memory（緩存存儲(chǔ)器）：通常是指用于存儲(chǔ)常用或頻繁訪問(wèn)的數(shù)據(jù)的小型快速存儲(chǔ)設(shè)備。

8. Cache hit rate（緩存命中率）：衡量緩存系統(tǒng)性能的一個(gè)重要指標(biāo)，表示實(shí)際緩存命中的次數(shù)占總訪問(wèn)次數(shù)的比例。

9. Cache hit latency（緩存命中延遲）：指從數(shù)據(jù)請(qǐng)求到數(shù)據(jù)被實(shí)際返回的時(shí)間。它對(duì)系統(tǒng)性能有重要影響，因?yàn)檩^短的延遲通常意味著更好的性能。

10. Cache size（緩存大小）：決定緩存系統(tǒng)能夠存儲(chǔ)的數(shù)據(jù)量。它需要根據(jù)應(yīng)用需求和系統(tǒng)性能進(jìn)行權(quán)衡和管理。

常用短語(yǔ)：

1. cache memory

2. cache hit

3. cache miss

4. cache buffer

5. cache replacement policy

6. cache coherency

7. cache hierarchy

例句：

1. The cache memory is designed to improve system performance.

2. We need to improve the cache hit rate to reduce the number of disk accesses.

3. The cache buffer is full, so we need to replace some entries.

4. The cache replacement policy should be carefully chosen to ensure optimal performance.

5. We need to ensure that all processors are working in harmony to maintain cache coherency.

6. The cache hierarchy should be optimized for the specific workload to achieve maximum efficiency.

英文小作文：

Cache systems are essential components of modern computing systems, which help improve performance by storing frequently used data in a more accessible and efficient manner. Caches are typically composed of a buffer memory that stores recently used data, along with a replacement policy that determines which data should be discarded in favor of new entries. The cache hierarchy refers to the entire system of caches, which can include levels of different sizes and speeds, all working together to maximize efficiency and minimize latency.

Cache systems are crucial for high-performance computing, as they allow for faster access to data, reducing the number of disk accesses and improving overall system performance. However, maintaining cache coherency and ensuring that all processors are working in harmony is a challenging task that requires careful design and implementation. As computing systems continue to evolve, cache systems will continue to play an increasingly important role in ensuring optimal performance and high-efficiency operation.