mohitmishra786/low-level-dev-skills

branch-prediction-and-speculation

Branch prediction and speculation skill for CPU security and performance.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill branch-prediction-and-speculation

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

Branch Prediction and Speculation

Purpose

Explain how modern CPUs predict branches, execute speculatively, recover on mispredict, and why speculation created side channels (Spectre/Meltdown) — linking performance tuning with security-aware low-level coding.

When to Use

  • Hot loop branchy code underperforms expectations
  • Evaluating likely/unlikely or branchless refactors
  • Understanding kernel retpoline, IBRS, and similar mitigations
  • Secure coding around secret-dependent branches

Workflow

1. Branch predictor basics

Fetch sees conditional branch
├── Predict direction (taken / not-taken)
├── Speculatively execute predicted path
└── On resolve:
    ├── Correct → commit, ~0 penalty (deep pipelines still cost on mispredict)
    └── Wrong → squash, refill from correct PC (10–20+ cycles typical)

Patterns: backward branches often predicted taken (loops); forward not-taken.

2. Performance patterns

c
/* Predictable — tight loop backward branch */
for (int i = 0; i < n; i++)
    sum += a[i];

/* Unpredictable — data-dependent */
if (data[i] > threshold)  /* hard to predict */
    rare_path();

Techniques: branchless cmov/select, lookup tables, sorting data to reduce branches, splitting hot/cold paths.

c
/* Branchless min (integer) */
int m = a < b ? a : b;  /* compiler may lower to cmov */

3. Compiler hints (use sparingly)

c
#define likely(x)   __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)

if (unlikely(ptr == NULL))
    return -EINVAL;

Measure with perf — hints are not magic on modern predictors.

4. Speculative execution and side channels

CPUs may execute instructions before branch outcome is known. If speculated path touches secret-dependent memory, cache state can leak (Spectre variant 1).

Mitigations (high level):

  • Kernel: retpoline, IBRS/IBPB, STIBP (see kernel cpu_show_mitigations)
  • Compiler: speculative load hardening (-mspeculative-load-hardening on Clang)
  • Code: constant-time crypto — no secret-dependent branches or indices

Meltdown (Intel): user load from kernel mapping — fixed by KPTI (separate page tables).

5. Measurement

bash
perf stat -e branches,branch-misses ./app

High branch-misses ratio → investigate hot branches.

6. Agent usage

/branch-prediction-and-speculation Make this comparison function constant-time against Spectre-style leakage

Common Problems

SymptomCauseFix
Loop slower than expectedMispredicted exitPeel iterations; branchless tail
likely no helpPredictor already goodProfile first
Secret leak in cryptoBranches on secret bytesConstant-time algorithms
Mitigation regressionKPTI/retpoline overheadAccept or isolate secrets
"Branchless" slowerCMOV still executes bothBenchmark on target CPU

Related Skills

  • skills/computer-architecture/cpu-pipelines-and-hazards — control hazards
  • skills/security/kernel-security — KPTI, CET, speculation mitigations
  • skills/low-level-programming/cpu-cache-opt — cache timing channels
  • skills/profilers/hardware-counters — branch-misses event
  • skills/runtimes/binary-hardening — userspace hardening overlap

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