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Arch: An AI-Native Hardware Description Language for Register-Transfer Clocked Hardware Design

Shuqing Zhao · Apr 7, 2026 · Citations: 0

Data freshness

Extraction: Fresh

Check recency before relying on this page for active eval decisions. Use stale pages as context and verify against current hub results.

Metadata refreshed

Apr 7, 2026, 3:12 PM

Recent

Extraction refreshed

Apr 10, 2026, 1:25 AM

Fresh

Extraction source

Persisted extraction

Confidence 0.40

Abstract

We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language designed from first principles for micro-architecture specification and AI-assisted code generation. Arch introduces first-class language constructs for pipelines, FSMs, FIFOs, arbiters, register files, buses, and clock-domain crossings -- structures that existing HDLs express only as user-defined patterns prone to subtle errors. A central design choice is that clocks and resets are themselves parameterized types (Clock<D>, Reset<S,P,D?>) rather than ordinary nets, converting clock-domain crossing (CDC) and reset-domain crossing (RDC) analysis from external linter passes into compile-time typing rules. Combined with simultaneous tracking of bit widths, port directions, single-driver ownership, and combinational acyclicity, the type system catches multiple drivers, undriven ports, implicit latches, width mismatches, combinational loops, and unsynchronized domain crossings before any simulator runs. Every syntactic choice is governed by an AI-generatability contract: an LL(1) grammar requiring no backtracking or multi-token lookahead, no preprocessor or macros, a uniform declaration schema, named block endings, explicit directional connect arrows, and a todo! escape hatch enable LLMs to produce structurally correct, type-safe Arch from natural-language specifications without fine-tuning. The Arch compiler emits deterministic, lint-clean IEEE 1800-2017 SystemVerilog and provides an integrated simulation toolchain that generates compiled C++ models for cycle-accurate simulation. We present case studies of an 8-way set-associative L1 data cache and a synthesizable PG021-compatible AXI DMA controller (with Yosys and OpenSTA results on Sky130), and compare Arch to SystemVerilog, VHDL, Chisel, Bluespec, and other modern HDLs across expressiveness, safety, and AI suitability dimensions.

Low-signal caution for protocol decisions

Use this page for context, then validate protocol choices against stronger HFEPX references before implementation decisions.

  • Extraction flags indicate low-signal or possible false-positive protocol mapping.
  • Extraction confidence is 0.40 (below strong-reference threshold).
  • No benchmark/dataset or metric anchors were extracted.

HFEPX Relevance Assessment

This paper is adjacent to HFEPX scope and is best used for background context, not as a primary protocol reference.

Best use

Background context only

Use if you need

A secondary eval reference to pair with stronger protocol papers.

Main weakness

Extraction flags indicate low-signal or possible false-positive protocol mapping.

Trust level

Low

Eval-Fit Score

2/100 • Low

Treat as adjacent context, not a core eval-method reference.

Human Feedback Signal

Not explicit in abstract metadata

Evaluation Signal

Detected

HFEPX Fit

Adjacent candidate

Extraction confidence: Low

Field Provenance & Confidence

Each key protocol field shows extraction state, confidence band, and data source so you can decide whether to trust it directly or validate from full text.

Human Feedback Types

missing

None explicit

Confidence: Low Source: Persisted extraction missing

No explicit feedback protocol extracted.

Evidence snippet: We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language designed from first principles for micro-architecture specification and AI-assisted code generation.

Evaluation Modes

partial

Simulation Env

Confidence: Low Source: Persisted extraction evidenced

Includes extracted eval setup.

Evidence snippet: We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language designed from first principles for micro-architecture specification and AI-assisted code generation.

Quality Controls

partial

Adjudication

Confidence: Low Source: Persisted extraction evidenced

Calibration/adjudication style controls detected.

Evidence snippet: We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language designed from first principles for micro-architecture specification and AI-assisted code generation.

Benchmarks / Datasets

missing

Not extracted

Confidence: Low Source: Persisted extraction missing

No benchmark anchors detected.

Evidence snippet: We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language designed from first principles for micro-architecture specification and AI-assisted code generation.

Reported Metrics

missing

Not extracted

Confidence: Low Source: Persisted extraction missing

No metric anchors detected.

Evidence snippet: We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language designed from first principles for micro-architecture specification and AI-assisted code generation.

Rater Population

missing

Unknown

Confidence: Low Source: Persisted extraction missing

Rater source not explicitly reported.

Evidence snippet: We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language designed from first principles for micro-architecture specification and AI-assisted code generation.

Human Data Lens

  • Uses human feedback: No
  • Feedback types: None
  • Rater population: Unknown
  • Unit of annotation: Unknown
  • Expertise required: Coding
  • Extraction source: Persisted extraction

Evaluation Lens

  • Evaluation modes: Simulation Env
  • Agentic eval: None
  • Quality controls: Adjudication
  • Confidence: 0.40
  • Flags: low_signal, possible_false_positive

Protocol And Measurement Signals

Benchmarks / Datasets

No benchmark or dataset names were extracted from the available abstract.

Reported Metrics

No metric terms were extracted from the available abstract.

Research Brief

Deterministic synthesis

We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language designed from first principles for micro-architecture specification and AI-assisted code generation. HFEPX signals include Simulation Env with confidence 0.40. Updated from current HFEPX corpus.

Generated Apr 10, 2026, 1:25 AM · Grounded in abstract + metadata only

Key Takeaways

  • We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language designed from first principles for micro-architecture specification and AI-assisted…
  • We present case studies of an 8-way set-associative L1 data cache and a synthesizable PG021-compatible AXI DMA controller (with Yosys and OpenSTA results on Sky130), and compare…

Researcher Actions

  • Treat this as method context, then pivot to protocol-specific HFEPX hubs.
  • Identify benchmark choices from full text before operationalizing conclusions.
  • Verify metric definitions before comparing against your eval pipeline.

Caveats

  • Generated from title, abstract, and extracted metadata only; full-paper implementation details are not parsed.
  • Low-signal flag detected: protocol relevance may be indirect.

Research Summary

Contribution Summary

  • We present Arch (AI-native Register-transfer Clocked Hardware), a hardware description language designed from first principles for micro-architecture specification and AI-assisted code generation.
  • We present case studies of an 8-way set-associative L1 data cache and a synthesizable PG021-compatible AXI DMA controller (with Yosys and OpenSTA results on Sky130), and compare Arch to SystemVerilog, VHDL, Chisel, Bluespec, and other…

Why It Matters For Eval

  • We present case studies of an 8-way set-associative L1 data cache and a synthesizable PG021-compatible AXI DMA controller (with Yosys and OpenSTA results on Sky130), and compare Arch to SystemVerilog, VHDL, Chisel, Bluespec, and other…

Researcher Checklist

  • Gap: Human feedback protocol is explicit

    No explicit human feedback protocol detected.

  • Pass: Evaluation mode is explicit

    Detected: Simulation Env

  • Pass: Quality control reporting appears

    Detected: Adjudication

  • Gap: Benchmark or dataset anchors are present

    No benchmark/dataset anchor extracted from abstract.

  • Gap: Metric reporting is present

    No metric terms extracted.

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