Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems
Bibliographic record
Abstract
ASPLOS 2015 General Chairs' WelcomeOn behalf of the ASPLOS organizing committee, we are very pleased to welcome you to Istanbul, Turkey, for the 20 th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-XX) on March 14-18, 2015.Istanbul is a jewel of a city, with its unique historical accumulation and splendid natural beauty, blended into a modern metropolis.Each civilization that has made Istanbul its home has left its mark in sublime and splendid ways, and the result is a city that gives one the feeling of universal history at every step from the Roman era to the Byzantine and Ottoman eras.Visitors will enjoy a wide variety of activities in a city where two continents meet on the blue waters of the Bosphorus to offer an abundance of unique natural, historical, cultural, and culinary experiences.Many of the historical sites including the Blue Mosque, Hagia (St.) Sophia, Hippodrome, Grand Covered Bazaar, Obelisk of Theodosius, Serpentine Column, The Maiden's Tower, Galata, and Basilica Cistern will be explored as part of our social activity.The conference banquet will be held at the Bosphorus, where we will enjoy a view of many historic places in Asia and Europe simultaneously.ASPLOS has been the best place to share and exchange innovative ideas regarding integrative research comprising computer architecture, programming languages, and operating systems.This year is no different thanks to the organizing committee, reviewers, contributing authors, and particularly the program committee and the chair, Sandhya Dwarkadas.She and the program committee did a great job in selecting an extremely interesting program.Several exciting workshops and tutorials will also be part of the conference.This year, we created a new ASPLOS-ACM Student Research Competition (SRC) sponsored by ACM and Microsoft Research.ASPLOS-ACM SRC is a forum for undergraduates and graduate students to share their research results, exchange ideas, and improve their communication skills while competing for prizes.We would like to thank all members of the organizing committee and steering committee as well as the technical program committee and the external reviewers.We would also like to thank the corporate supporters of ASPLOS who have provided generous financial support: VMware and Intel -our primary supporter this year, Google, ARM, Oracle, Microsoft Research, Facebook, IBM Research, and HP Labs.Our thanks also go to ACM SIGARCH, ACM SIGOPS, ACM SIGPLAN, and the National Science Foundation for providing funding for the student grants.We hope you find the program exciting as we have a packed program with 48 technical papers, lightning and poster sessions, a banquet, business meeting, two keynotes, a WACI session, and potentially a debate/panel.We hope this provides a stimulating platform and you enjoy staying in Istanbul.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.133 | 0.065 |
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".