A Formal CSP Framework for Message-Passing HPC Programming
Bibliographic record
Abstract
To help programmers of high-performance computing (HPC) systems avoid communication-related errors, we employ a formal process algebra, communicating sequential processes (CSP), which has a strict semantics for interprocess communication and synchronization. Verification tools are available for CSP-specified programs to prove the absence of failures such as deadlock, and to explore potential multiprocess interactions. By introducing a CSP abstraction layer on top of the popular MPI message-passing primitives, we create a framework, called CSP4MPI, designed to largely hide the complexity of parallel programming for HPC. CSP4MPI is comprised of a C++ class library that provides a CSP-based process model, and a "cookbook" of candidate solutions for HPC programmers not trained in CSP. Developers can prototype their systems using CSP, and use verification tools to examine possible points of failure before implementing via the CSP4MPI library. Alternatively, they may choose an existing, verified solution from a number of common parallel application archetypes. By using CSP4MPI, HPC developers leverage the benefits of formal specification and verification in their work, in addition to obtaining an alternate method to developing HPC applications
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".