TIREx Tracker: The Information Retrieval Experiment Tracker

The reproducibility and transparency of retrieval experiments depends on the availability of information about the experimental setup. However, the manual collection of experiment metadata can be tedious, error-prone, and inconsistent, which calls for an automated systematic collection. Expanding ir_metadata, we present the TIREx tracker, a tool that records hardware configurations, power/CPU/RAM/GPU usage, and experiment/system versions. Implemented as a lightweight platform-independent C binary, the TIREx tracker integrates seamlessly into Python, Java, or C/C++ workflows and can be easily integrated into shard task submissions, as we demonstrate for the TIRA/TIREx platform. Code, binaries, and documentation of the TIREx tracker are publicly available at https://github.com/tira-io/tirex-tracker.

Publication Details

Journal
Universitätsbibliothek Kassel
Published
2025-07-13
DOI
https://doi.org/10.17170/kobra-2025102311568
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

TIREx Tracker: The Information Retrieval Experiment Tracker

Universitätsbibliothek Kassel
Scientific Computing and Data Management
article

TIREx Tracker: The Information Retrieval Experiment Tracker

article en

Abstract

The reproducibility and transparency of retrieval experiments depends on the availability of information about the experimental setup. However, the manual collection of experiment metadata can be tedious, error-prone, and inconsistent, which calls for an automated systematic collection. Expanding ir_metadata, we present the TIREx tracker, a tool that records hardware configurations, power/CPU/RAM/GPU usage, and experiment/system versions. Implemented as a lightweight platform-independent C binary, the TIREx tracker integrates seamlessly into Python, Java, or C/C++ workflows and can be easily integrated into shard task submissions, as we demonstrate for the TIRA/TIREx platform. Code, binaries, and documentation of the TIREx tracker are publicly available at https://github.com/tira-io/tirex-tracker.

Universitätsbibliothek Kassel
Openalex Percentile: Top 27%
Scientific Computing and Data Management
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