doc: update links for JIT (#617)

bytedance · Apr 12, 2024 · 0b8be4b · 0b8be4b
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diff --git a/docs/INTRODUCTION.md b/docs/INTRODUCTION.md
@@ -22,7 +22,7 @@ The reason is that **this implementation transforms into a large number of inter
 2. **Assembly functions cannot be inlined**, while Golang's function-call performance is poor (no parameter-passing-by-register)
 
 #### Is there a way to avoid the function-call overhead of dynamic assembly?
-The first thing we thought about was code generation like [easyjson](https://github.com/mailru/easyjson). But it comes with **schema dependency and convenience losses**. To achieve a real drop-in replacement of the standard library, we turned to another technology - **[JIT](https://en.wikipedia.org/wiki/Jit) (just-in-time compiling)**. Because the compiled codec function is an integrated function, which can greatly reduce function calls while ensuring flexibility.
+The first thing we thought about was code generation like [easyjson](https://github.com/mailru/easyjson). But it comes with **schema dependency and convenience losses**. To achieve a real drop-in replacement of the standard library, we turned to another technology - **[JIT](https://en.wikipedia.org/wiki/Just-in-time_compilation) (just-in-time compiling)**. Because the compiled codec function is an integrated function, which can greatly reduce function calls while ensuring flexibility.
 
 ### Why is Simdjson-go not fast enough?
 [SIMD](https://en.wikipedia.org/wiki/SIMD) (Single-Instruction-Multi-Data) is a special set of CPU instructions for the parallel processing of vectorized data. At present, it is supported by most CPUs and widely used in image processing and big data computing. Undoubtedly, SIMD is useful in JSON processing (itoa, char-search， and so on are all suitable scenarios). We can see that simdjson-go is very competitive in large JSON scenarios (>100KB). However, for some extremely small or irregular character strings, **the extra load operation required by SIMD will lead to performance degradation**. Therefore, we need to dedicate ourselves to branch predicting and decide which scenarios should use SIMD and which should not (for example, the string length is less than 16 bytes).

diff --git a/docs/INTRODUCTION_ZH_CN.md b/docs/INTRODUCTION_ZH_CN.md
@@ -27,7 +27,7 @@
 
 #### 有没有办法避免动态组装函数的调用开销？
 
-我们首先考虑的是类似[easyjson](https://github.com/mailru/easyjson)的代码生成。但是这会带来**模式依赖和便利性下降**。为了实现对标准库的真正插拔式替换，我们转向了另一种技术- **[JIT](https://en.wikipedia.org/wiki/Jit) （即时编译）**。因为编译后的编解码函数是一个集成的函数，它可以大大减少函数调用，同时保证灵活性。
+我们首先考虑的是类似[easyjson](https://github.com/mailru/easyjson)的代码生成。但是这会带来**模式依赖和便利性下降**。为了实现对标准库的真正插拔式替换，我们转向了另一种技术- **[JIT](https://zh.wikipedia.org/zh-cn/即时编译) （即时编译）**。因为编译后的编解码函数是一个集成的函数，它可以大大减少函数调用，同时保证灵活性。
 
 ### 为什么 Simdjson-go 速度不够快？