问题我今天从 github 下拉一个仓库的时候，突然报错： 12345Connection closed by 20.205.243.166 port 22fatal: Could not read from remote repository.Please make sure you have the correct access rightsand the repository exists.

biriscv_fetchbiriscv_fetch 是 biRISC-V CPU 的取指单元，位于 ICache 和 Decode 阶段之间，负责： 管理 PC (Program Counter) 向 ICache 发起取指请求 缓冲 ICache 返回的指令 处理分支跳转请求 支持 MMU（可配置） 下面的分析是没有支持 MMU 的。 branch 处理123456789101112131

第一章 超标量处理器概述为什么需要超标量为了提高 IPC。 普通处理器流水线流水线概述流水线就是为了降低指令周期的时间，提高频率的手段。 流水线的划分一般根据场景，进行划分流水段，并且每一个阶段的延迟尽量相近。 指令间的相关性RAW：无法避免；WAR：可以避免，写到其它寄存器。WAW：同 WAR，也可以避免，写到其它寄存器。 控制相关：只能靠预测器预取，一旦预测错误，会带来严重的性能问题。 超标量

预测器的组合逻辑级联代码实现所有预测器的连接（config-mixins.scala:603-609）： 123456789101112// 初始输入（全0预测）val resp_in = (0.U).asTypeOf(new BranchPredictionBankResponse)// 组合逻辑链ubtb.io.resp_in(0) := resp_inbim.io.resp_in(0)

loopThe Loop Predictor specializes in predicting loop exit branches.It learns the iteration count of loops and predicts the loop exit when the learned count is reached. Structure: Small table (16 set

TAGE is the most advanced branch predictor in BOOM. It uses multiple prediction tables indexed by different history lengths to achieve high accuracy. Key Concepts: Multiple tables with geometrically

btbThe Branch Target Buffer (BTB) caches branch target addresses to provide fast prediction of where branches will go. Structure: Set-associative cache (default: 128 sets, 2 ways) Each entry stores:

bimThis module implements a Bimodal Branch Predictor using 2-bit saturating counters. The prediction is based on the MSB of the counter: Counter = 0 (00): Strongly Not Taken Counter = 1 (01

ubtbThis is the set-associative variant of the Micro BTB, as opposed to the fully-associative FAMicroBTB. It uses indexed addressing like a cache. Structure: 256 sets by default (configurable) Each e

Branch PredictionBOOM uses two levels of branch prediction: a fast Next-Line Predictor (NLP) a slower but more complex Backing Predictor (BPD) In this case, the NLP is a Branch Target Buffer and the