DFT / ATPG · All levels

Compression Architectures: Mechanism

Mechanism for Compression Architectures.

Mechanism to understand

Mechanism for Compression Architectures focuses on compression ratio, decompressor channel utilization, aliasing risk. The goal is to convert metric movement into mechanism, owner, and release decision.

Compression inserts on-chip decompressors/compactors to reduce external tester pattern volume while preserving defect detection quality. Think of DFT as a quality pipeline where setup quality determines what silicon evidence means.

  • Identify where controllability/observability is introduced.

  • Identify legal constraints and mode assumptions.

  • Identify failure class: architecture, constraints, physical, or silicon.

Layered view

diagram
DFT CLOSURE FLOW - Compression Architectures

scan/test architecture
        |
        v
ATPG constraints + fault models
        |
        v
pattern generation + compression
        |
        v
timing/power/physical validation
        |
        v
silicon diagnosis and release signoff

Debug rule: always state metric, run tags, and owning team with any claim.

Compression pipeline

diagram
ATE CH -> on-chip decompressor -> scan chains -> compactor -> ATE CH

higher compression ratio
  -> lower tester memory
  -> higher X-management complexity

Layer responsibilities

diagram
DFT OWNERSHIP LAYERS - Compression Architectures

layer              owns                         failure mode
----------------   --------------------------   -------------------------
rtl/architecture   scanability hooks            uncontrollable logic
atpg/constraints   legal pattern intent         aborts, low coverage
physical/clocking  chain route + test clocks    shift hold/timing escapes
tester/program     pattern apply integrity      false binning / bad fails
quality signoff    release criteria             escapes or schedule slip

DFT deep dive

Compression saves tester time only when diagnosis observability remains credible.

Concept diagram

diagram
COMPRESSION LOOP

EDT/decompressor -> compressed patterns -> compactor responses -> diagnosis

Metric graph

diagram
PATTERN vs COVERAGE

coverage up   -> pattern count up
compression up -> pattern count down (until aliasing risk)

Reports and artifacts

  • compression ratio dashboard

  • pattern count trend

  • X-source report

  • diagnosis bucket summary

Mini case study

Compactor overflow plus unknown inflation caused false diagnosis; masking policy and channel map corrected.

Debug branches

  • Separate X issues from silicon defects

  • Replay failing patterns uncompressed

  • Track tester memory budget

Senior review question

Ask: what evidence proves this DFT decision is safe for production?

Key takeaways

  • State metric, lot/corner context, and pattern tag with every claim.

  • Treat timing, power, and quality as one signoff problem.

Common pitfalls

  • Chasing coverage without legality checks.

  • Ignoring test-power side effects of pattern changes.

  • Debugging silicon without reproducible tags.

Mechanism deep dive

Compression inserts on-chip decompressors/compactors to reduce external tester pattern volume while preserving defect detection quality.