Skip to main content

Memory Diagnostic Tool

Project description

Memory Diagnostic Tool (MDT)

The Memory Diagnostic Tool (MDT) is a Python-based utility designed to analyze memory training data and generate a detailed report that includes memory training results, train values, and eye diagrams. It processes inputs from ABL/PMU4 logs (Turin/Venice) and BDAT (Venice), generating a comprehensive summary to aid in memory diagnostics.

Features

  • Input Processing:

    • Accepts ABL/PMU4 log files (Turin/Venice).
    • Accepts BDAT files (Venice).
  • Output Report:

    • Generates a report that shows:
      • Memory Training Results: Detailed outcomes of the memory training process.
      • Train Value: Numerical values derived from the training results.
      • Eye Diagram: A graphical representation of the signal quality during memory training.

Requirements

Before using MDT, make sure that you have the following installed:

  • Python 3.x or above
  • Required Python libraries (can be installed using pip)

You can install the required dependencies using the following command:

pip install -r requirements.txt

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

MemoryDiagnosticTool-0.12.0.tar.gz (52.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

MemoryDiagnosticTool-0.12.0-py3-none-any.whl (61.3 kB view details)

Uploaded Python 3

File details

Details for the file MemoryDiagnosticTool-0.12.0.tar.gz.

File metadata

  • Download URL: MemoryDiagnosticTool-0.12.0.tar.gz
  • Upload date:
  • Size: 52.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.11

File hashes

Hashes for MemoryDiagnosticTool-0.12.0.tar.gz
Algorithm Hash digest
SHA256 ad168c5fcd3019ce0c50311deb98490a1df270645f34abfe4594b342bd6c16a6
MD5 b21ef04f58e9530706ef9088b264cea3
BLAKE2b-256 9615dd00490ee87c38b9988a4f63408749a57f6354bf1cf847b3ce7cc6399f5b

See more details on using hashes here.

File details

Details for the file MemoryDiagnosticTool-0.12.0-py3-none-any.whl.

File metadata

File hashes

Hashes for MemoryDiagnosticTool-0.12.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f62d6e192bbad1e01bd2892b965ac2415e22d948576af5f749bd17c71bc6f06b
MD5 8145a63005c0435874fabab8fb4761ee
BLAKE2b-256 97219bb81eb7ef0016b53cc5333dae6c409b7879bf7672e443e80d4cd4066c5b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page