MTF: A Scalable Exchange Format for Traces of High Performance Computing Systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Execution traces generated from running high performance computing applications (HPC) may reach tens or hundreds of gigabytes. The trace data can be used for visualization, analysis of profiling information about the target system. However, in order to make the utilization of this data efficient, the trace needs to be represented in a structure that facilitates the access to its data. One important factor that should be considered when representing trace data is scalability; the trace met model should be able to represent the trace in a compact form that enables scalability of the analysis tools. Additionally, a trace file needs to be available in a format that is well-known in the software engineering area by making it open. In this paper, we propose a metamodel for representing dynamic information generated from HPC that use the MPI standard as the inter-process communication model. MPI Trace Format (MTF) is meant to meet the aforementioned requirements and is intended to facilitate the interoperability among different trace analysis tools.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it