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Course contents

  • How to Use This Course
  • Reading Path
  • Cache Coherency Glossary
  • The Shared Course Model
  • Cache Coherency Revision Sheet
  • Why Coherence Exists8
  • States and Protocols12
  • Transactions12
  • Races and Controller Design8
  • Progress and the Fabric16
  • Ordering and Synchronization12
  • Performance and Scalability12
    • False Sharing
    • Directory Capacity and Sharers
    • Hotspots and Placement
  • Real Protocols12
  • SoC Integration12
  • Power, Clocking and Reliability12
  • Verification12
  • Debug and Bring-up12
  • Interview and Design Review17
  • Capstone: A Coherent Model Lab5
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‹Cache Coherency
  1. Topics
  2. Cache Coherency
  3. Performance and Scalability

Part 7 · Performance and Scalability · All levels

Performance and Scalability

Diagnose line transfers, metadata pressure and placement before choosing a scaling change.

  • 3topics
  • 12lessons

Topics in this section

  1. 1False Sharing4 lessons
    • True Versus False Sharing
    • Counting Coherence Traffic
    • Padding and Data Layout
    • Finding False Sharing
  2. 2Directory Capacity and Sharers4 lessons
    • Full Bit-Vector Cost
    • Limited Pointers and Coarse Vectors
    • Sparse Directories and Eviction
    • Conservative Metadata Rules
  3. 3Hotspots and Placement4 lessons
    • Hot Lines and Locks
    • Home Interleaving
    • NUMA and Locality
    • Scaling Trade-Off Exercise

A coherence optimization needs a named cost and a preserved result. This part adds workload and storage accounting to the reviewed transactions without changing their permission or data obligations.

Twelve lessons

Lesson

After it you can...

True Versus False Sharing

Separate logical data from physical permission units.

Counting Coherence Traffic

Count transfers and reject neighboring-value loss.

Padding and Data Layout

Check alignment, stride and footprint.

Finding False Sharing

Design an address-level counterfactual experiment.

Full Bit-Vector Cost

Extend the 4 / 66-bit baseline to large N.

Limited Pointers and Coarse Vectors

Handle loss of precision conservatively.

Sparse Directories and Eviction

Separate address capacity, set conflicts and pending work.

Conservative Metadata Rules

Preserve coverage across representation transitions.

Hot Lines and Locks

Count lock traffic per spin and per handoff, from test-and-set to queue locks.

Home Interleaving

Compare a simple and a hashed home map and the stride that defeats each.

NUMA and Locality

Place a page and its home, then cost local, remote and remote-dirty misses.

Scaling Trade-Off Exercise

Choose a candidate with measurable rejection criteria.

Suggested order: sharing and layout, metadata, then placement. Keep message counts, bytes, cycles and storage bits separate throughout. Every numerical example in this part is illustrative.

Check yourself What disqualifies a candidate before comparing speed?

A changed required result, lost data, premature permission or broken synchronization contract. Performance improvements are compared only after correctness and useful work are preserved.

Related topics

  • Shared course model

  • Reviewed transactions

  • Controller capacity

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See also

  • How to Use This Course
  • Reading Path
  • Cache Coherency Glossary