Bibliographic record
Abstract
Summary form only given. The shift to multi-core processors is having a dramatic effect on the way we design systems and the software that runs on them. It is true that the vast majority of software is not multi-threaded and thus does not take full advantage of the new platform. It is also true that there is a gap in software development skills, techniques, and tools to exploit the multicore platform. So whatpsilas there to talk about? The short-term focus is on using virtualization to get the most out of the platform. Up to now this has meant workload consolidation, especially for development and QA. Some but not all workloads have been candidates. 2009 appears to the year this changes. Technologies like Nehalem/QuickPath, Montreal/HT3, PCI Express gen2 (x8/x16), SR-IOV/Multi-Queue NICs, and SSD/Flash will show-up in the scale-out server market next year. This talk will focus on how these will be combined and the impact the resultant platform will have on computational finance.
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.
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 | 0.000 | 0.000 |
| 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 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".