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kernbench2/docs/adr-ko/INDEX.md
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mukesh cc1bbd0ab7 eval: fold GEMM/allreduce harnesses into self-contained milestone benches 
Move the GEMM + allreduce sweep/render logic out of scripts/ and tests/
into two self-contained eval benches so a user can regenerate every
result + figure with one command:

  kernbench run --bench milestone-1h-gemm   (MILESTONE_FAST=1 reuses JSON)
  kernbench run --bench milestone-1h-ccl

- benches/milestone_1h_{gemm,ccl}.py: single home for each domain; the
  run(torch) entry drives the sweeps and writes figures into
  benches/1H_milestone_output/{gemm,ccl}/ (gitignored), then submits a
  sentinel tensor to satisfy the run_bench contract.
- tests/gemm + tests/sccl helpers and scripts/gemm_sweep.py become thin
  re-export/wrapper shims over the benches (single source preserved); the
  pytest-only param builders + _run_distributed wrapper stay in the shim.
- eval-bench pattern: a bench may drive many configs + build its own
  per-config engines (extends ADR-0045 D5; reverses ADR-0044 D1/D2).

ADR-0054 (EN+KO) records the design; ADR-0043/0044/0045 + CLAUDE.md CLI
Semantics amended; ADR INDEX regenerated. Verified: milestone benches run
clean (ok=True, all artifacts), full suite 67 passed, lang-pairs OK.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-22 15:19:52 -07:00

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# ADR Index
Auto-generated by `tools/generate_adr_index.py`. Total ADRs: **47**.
Classification mirrors the `/report` skill's section assignment. When adding a new ADR, also add an entry to the `CLASSIFICATION` table in `tools/generate_adr_index.py`.
## Design Principles
- [ADR-0013](./ADR-0013-ver-verification-strategy.md) — 검증 전략 및 Phase 1 테스트 계획
- [ADR-0033](./ADR-0033-lat-latency-model-assumptions.md) — 레이턴시 모델: 가정 및 알려진 단순화
## High-level Architecture
- [ADR-0003](./ADR-0003-dev-target-system-hierarchy.md) — 타겟 시스템 계층 및 모델링 범위 _(System hierarchy (Tray / SIP / CUBE / PE))_
- [ADR-0007](./ADR-0007-api-runtime-api-boundaries.md) — 런타임 API 및 시뮬레이션 엔진 경계 _(Runtime API ↔ sim_engine boundaries)_
- [ADR-0016](./ADR-0016-dev-iochiplet-noc-and-memory-path.md) — IOChiplet NoC와 메모리 데이터 경로 _(IOChiplet NOC and memory data path)_
- [ADR-0017](./ADR-0017-dev-cube-noc-and-hbm-connectivity.md) — 큐브 NoC와 HBM 연결성 _(Cube NOC and HBM connectivity)_
## Detailed Architecture
One subsection per component file under `src/kernbench/components/builtin/`.
### forwarding
- [ADR-0037](./ADR-0037-dev-forwarding-component.md) — Forwarding 컴포넌트 (forwarding_v1)
### hbm_ctrl
- [ADR-0034](./ADR-0034-dev-hbm-controller-internal-design.md) — HBM 컨트롤러 내부 설계
### io_cpu
- [ADR-0036](./ADR-0036-dev-io-cpu-component-model.md) — IO_CPU 컴포넌트 모델
### m_cpu
- [ADR-0035](./ADR-0035-dev-m-cpu-and-m-cpu-dma-component-model.md) — M_CPU 및 M_CPU.DMA 컴포넌트 모델
### pcie_ep
- [ADR-0038](./ADR-0038-dev-pcie-ep-component-model.md) — PCIE_EP Component Model
### pe_cpu
- [ADR-0014](./ADR-0014-dev-pe-pipeline-execution-model.md) — PE 파이프라인 실행 모델
### pe_dma
- [ADR-0014](./ADR-0014-dev-pe-pipeline-execution-model.md) — PE 파이프라인 실행 모델
- [ADR-0023](./ADR-0023-dev-ipcq-pe-collective.md) — PE-level IPCQ — Inter-PE Collective Communication
### pe_fetch_store
- [ADR-0014](./ADR-0014-dev-pe-pipeline-execution-model.md) — PE 파이프라인 실행 모델
### pe_gemm
- [ADR-0014](./ADR-0014-dev-pe-pipeline-execution-model.md) — PE 파이프라인 실행 모델
### pe_ipcq
- [ADR-0023](./ADR-0023-dev-ipcq-pe-collective.md) — PE-level IPCQ — Inter-PE Collective Communication
### pe_math
- [ADR-0014](./ADR-0014-dev-pe-pipeline-execution-model.md) — PE 파이프라인 실행 모델
### pe_mmu
- [ADR-0039](./ADR-0039-dev-pe-mmu-component-model.md) — PE_MMU Component Model — 컴포넌트 + 유틸리티 이중 역할
### pe_scheduler
- [ADR-0014](./ADR-0014-dev-pe-pipeline-execution-model.md) — PE 파이프라인 실행 모델
### pe_tcm
- [ADR-0040](./ADR-0040-dev-pe-tcm-component-model.md) — PE_TCM Component Model — 듀얼 채널 BW 직렬화
### sram
- [ADR-0041](./ADR-0041-dev-cube-sram-component-model.md) — Cube SRAM Component Model — terminal scratchpad on cube NoC
### tiling
- [ADR-0042](./ADR-0042-prog-tile-plan-generators.md) — Tile Plan Generators — GEMM/Math 파이프라인 plan 빌더
## Implementation Decisions
### Address Scheme
- [ADR-0001](./ADR-0001-mem-physaddr-layout.md) — 51비트 물리 주소 레이아웃 및 디코딩 계약
- [ADR-0011](./ADR-0011-mem-memory-addressing-simplification.md) — 메모리 주소 지정 — PA / VA / LA 주소 모델
### Routing & Helper API
- [ADR-0002](./ADR-0002-lat-routing-distance.md) — 라우팅 거리, 순서 및 우회 규칙
- [ADR-0051](./ADR-0051-lat-routing-helper-api.md) — Routing Helper API — `AddressResolver` + `PathRouter`
### Memory Semantics & Local-HBM Bandwidth
- [ADR-0004](./ADR-0004-mem-memory-semantics-local-hbm.md) — 메모리 시맨틱 및 로컬 HBM 대역폭 보장
### Topology Compilation, Diagrams & Builder Algorithms
- [ADR-0005](./ADR-0005-dev-diagram-views-distance-layout.md) — 다이어그램 뷰 및 거리 기반 레이아웃 규칙
- [ADR-0006](./ADR-0006-dev-topology-compilation-distance-diagram.md) — 토폴로지 컴파일, 거리 추출, 그리고 자동 다이어그램 생성
- [ADR-0053](./ADR-0053-dev-topology-builder-algorithms.md) — Topology Builder + Visualizer Algorithms
### Tensor Deployment and Allocation
- [ADR-0008](./ADR-0008-api-tensor-deploy-and-allocation.md) — 텐서 배포 및 할당 (호스트 할당기, PA 우선)
### Kernel Execution and Host-Device Messaging
- [ADR-0009](./ADR-0009-api-kernel-execution-messaging.md) — 커널 실행 메시징 및 완료 시맨틱
- [ADR-0012](./ADR-0012-api-host-io-message-schema.md) — Host ↔ IO_CPU 메시지 스키마 (PA-우선, PE-태깅)
### CLI Surface and Semantics
- [ADR-0010](./ADR-0010-api-cli-surface-and-semantics.md) — 명령줄 인터페이스 및 실행 시맨틱
### Component Port/Wire Fabric Model
- [ADR-0015](./ADR-0015-dev-component-port-wire-model.md) — 컴포넌트 포트/와이어 모델과 패브릭 라우팅
### Two-Pass Data Execution
- [ADR-0020](./ADR-0020-prog-data-execution-two-pass.md) — 2-Pass 데이터 실행 모델 (타이밍 / 데이터 분리)
### 2D Grid Program Identity
- [ADR-0022](./ADR-0022-prog-program-id-2d-grid.md) — 2D 그리드 program_id 시맨틱
### Parallelism (Launcher, DP, TP, AHBM backend, CCL algorithm)
- [ADR-0024](./ADR-0024-par-sip-tp-launcher.md) — SIP-level Launcher — rank = SIP
- [ADR-0026](./ADR-0026-par-dppolicy-intra-device.md) — DPPolicy = Intra-Device Only — sip/num_sips 필드 제거
- [ADR-0027](./ADR-0027-par-megatron-tp.md) — Megatron-style Tensor Parallelism API
- [ADR-0047](./ADR-0047-par-ahbm-ccl-backend.md) — AHBM CCL Backend — `torch.distributed`-compat shim
- [ADR-0050](./ADR-0050-par-ccl-algorithm-module-contract.md) — CCL Algorithm Module Contract — `ccl/algorithms/*.py`
### IPCQ Direction Addressing
- [ADR-0025](./ADR-0025-algo-ipcq-direction-addressing.md) — IPCQ Direction Addressing — address-based matching
### Intercube All-Reduce
- [ADR-0032](./ADR-0032-algo-intercube-allreduce.md) — 큐브 간 All-Reduce — pe0 큐브-메시 리듀스 + 다중-SIP 교환
### Evaluation Harnesses
- [ADR-0043](./ADR-0043-eval-allreduce-harness.md) — Allreduce 평가 하니스 — `tests/sccl/`
- [ADR-0044](./ADR-0044-eval-gemm-harness.md) — GEMM 평가 하니스 — `scripts/gemm_sweep.py` + `tests/gemm/`
- [ADR-0054](./ADR-0054-eval-milestone-benches.md) — 마일스톤 평가 bench — 자기완결적 sweep + figure bench
### Bench Module Contract
- [ADR-0045](./ADR-0045-prog-bench-module-contract.md) — Bench Module Contract — registration, dispatch, and authoring
### Kernel-side tl.* API (TLContext)
- [ADR-0046](./ADR-0046-prog-tl-context-contract.md) — TLContext — Kernel-side `tl.*` API Contract
### Memory Allocator Algorithms
- [ADR-0048](./ADR-0048-mem-allocator-algorithms.md) — Memory Allocator Algorithms — VirtualAllocator + PEMemAllocator
### Probe Subcommand
- [ADR-0049](./ADR-0049-ver-probe-subcommand.md) — `kernbench probe` Subcommand — Traffic-Pattern Verification Harness
### Sim-engine Op Log and Memory Store Schemas
- [ADR-0052](./ADR-0052-dev-oplog-memory-store-schemas.md) — OpLog + MemoryStore Schemas — sim_engine internals
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