A Comprehensive Analysis of OpenMP Applications on Dual-Core Intel Xeon SMPs
Bibliographic record
Abstract
Hybrid chip multithreaded SMPs present new challenges as well as new opportunities to maximize performance. Our intention is to discover the optimal operating configuration of such systems for scientific applications and to identify the shared resources that might become a bottleneck to performance under the different hardware configurations. This knowledge will be useful to the research community in developing software techniques to improve the performance of shared memory programs on modern multi-core multiprocessors. In this paper, we study a two-way dual-core Hyper-Threaded (HT) Intel Xeon SMP server under single program and multi-program multithreaded workloads using the NAS OpenMP benchmark suite. Our performance results indicate that in the single-program case, the CMP-based SMP and CMT-based SMP configurations have the highest average speedup across all of the applications. The most efficient architecture is a single HT-enabled dual-core processor that is almost comparable to the performance of a 2-way dual-core HT-disabled system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".