Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer 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
It's a great pleasure to welcome you to the 12th joint ACM SIGMETRICS and IFIP PERFORMANCE International Conference, hosted by the Department of Computing, Imperial College London - one week after the Queen's Silver Jubilee celebrations and six weeks before the 2012 Olympic Games, just the other side of Town. In fact we chose these dates so as to avoid clashing with Her Majesty's special week, which might have been compromised by an event of such stature! This year's conference enhances the tradition of both of its constituents' being the premier fora for state-ofthe-art research in performance modeling and measurement techniques, tools and applications in the American and Europe continents, respectively. We have assembled a superb technical program with 31 full papers of the highest quality and 23 posters highlighting innovative research; further details are provided in the Program Chairs' Welcome that follows. Contributors come from 18 different countries in 3 continents; 49 papers have (co-)authors from academic institutions and 22 have industrial (co-)authors. This year we have increased the numbers of Tutorials and Workshops. On Monday, 11th June there are five tutorials and two workshops: the ever-popular GreenMetrics and, for the first time, W-PIN. My thanks to Cati Llado for her organizing the tutorials and expanding this aspect of the conference. On Friday we have three more innovative Workshops: the long-established MAMA, a new one PADE and a Hands-on Tutorial-Workshop NetFPGA. We hope as many of you as possible will take advantage of these excellent satellite events.
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 | 0.001 | 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 it