Implementation of the EARTH programming model on SMP clusters: a multi‐threaded language and runtime system
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Bibliographic record
Abstract
Abstract This paper describes the design and implementation of an Efficient Architecture for Running THreads (EARTH) runtime system for a multi‐processor/multi‐node cluster. The (EARTH) model was designed to support the efficient execution of parallel (multi‐threaded) programs with irregular fine‐grain parallelism using off‐the‐shelf computers. Implementing an EARTH runtime system requires an explicitly threaded runtime system. For portability, we built this runtime system on top of Pthreads under Linux and used sockets for inter‐node communication. Moreover, in order to make the best use of the resources available on a cluster of symmetric multi‐processors (SMP), this implementation enables the overlapping of communication and computation. We used Threaded‐C, a language designed to implement the programming model supported by the EARTH architecture. This language allows the expression of various levels of parallelism and provides the primitives needed to manage the required communication and synchronization. The Threaded‐C programming language supports irregular fine‐grain parallelism through a two‐level hierarchy of threads and fibers. It also provides various synchronization and communication constructs that reflect the nature of EARTH's fibers—non‐preemptive execution with data‐driven scheduling—as well as the extensive use of split‐phase transactions on EARTH to execute long‐latency operations. Copyright © 2003 John Wiley & Sons, Ltd.
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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 | 0.000 | 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 it