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Course contents

  • How to Use This Course
  • Protocol Metrics Reference
  • Protocols Glossary
  • Reading Path
  • Protocol Fundamentals25
    • Layering & Transaction Model
    • Handshake & Backpressure
    • Ordering & Outstanding Rules
    • Bandwidth & Latency Budgeting
      • Bandwidth & Latency Budgeting: Concepts
      • Bandwidth & Latency Budgeting: Integration
      • Bandwidth & Latency Budgeting: Debug
      • Bandwidth & Latency Budgeting: Interview
      • Bandwidth & Latency Budgeting: Deep Dive
      • Bandwidth & Latency Budgeting: Worked Examples
    • Protocol Fundamentals: Tricky Q&A
  • AMBA Family (APB / AHB / AXI)17
  • Coherence Fabrics (ACE / CHI)17
  • Memory Interfaces (DDR / LPDDR / HBM)17
  • PCIe & CXL17
  • Embedded Peripherals (I2C / SPI / UART)17
  • High-Speed I/O (USB / Ethernet / MIPI)17
  • Protocol Verification & Compliance17
  • Protocols Interview Prep5
  • Interface Protocols Cheatsheet
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←Bandwidth & Latency Budgeting
  1. Topics
  2. Bus Protocols
  3. Protocol Fundamentals
  4. Bandwidth & Latency Budgeting
  5. Bandwidth & Latency Budgeting: Debug
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    Interface ProtocolsAll levels

    Bandwidth & Latency Budgeting: Debug

    Debug for Bandwidth & Latency Budgeting.

    Primary debug scenario

    Symptom: At 800 MHz, a team widened a 64-bit interface to 128 bits. Throughput rose about 7.1% (4.2 → 4.5 GB/s). The 7 GB/s target exceeds the original 6.4 GB/s ceiling but is below the new 12.8 GB/s ceiling.

    Leading hypotheses: The widened path is underutilised. Request admission, return-data supply, consumer backpressure and competing traffic are candidates; bandwidth alone does not choose among them. The original width still imposed a ceiling below the target.

    Triage steps

    1. Stall breakdown: AR%, AW%, W%, R%, B% stall fractions.

    2. Correlate request stalls with outstanding occupancy and completion events; a stall percentage alone does not identify the cause.

    3. Check actual burst length on wire — fragmented bursts waste upgrade.

    4. Outstanding depth: master config vs slave acceptance capability.

    5. DRAM: row hit rate, refresh stall%, port arbitration fairness.

    6. Measure useful accepted bytes over the same elapsed interval; separate idle gaps from data-channel backpressure.

    7. Change one suspected limit at a time and compare the same replay against both bandwidth and latency targets.

    Common pitfalls

    • Quoting peak GB/s without workload.

    • Width upgrade without stall profile.

    • Ignoring firmware QoS.

    • Average BW only — missing latency tail.


    Secondary scenario

    Symptom: Benchmark shows 90% of peak DRAM bandwidth in lab. Customer workload gets 40% in field.

    Triage steps

    1. Compare access patterns: lab sequential vs customer random/strided.

    2. Row hit rate in field — likely much lower than lab.

    3. Check coherency traffic in SMP customer workload.

    4. Thermal throttling reducing DRAM refresh or clock?

    Common pitfalls

    • Signing off on synthetic benchmark not representative of customer traffic.

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    See also

    • Bandwidth & Latency Budgeting: Concepts
    • Bandwidth & Latency Budgeting: Deep Dive
    • Bandwidth & Latency Budgeting: Worked Examples