Proceedings of the 1st international workshop on Multicore software engineering
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
Welcome to the International Workshop on Multicore Software Engineering (IWMSE 2008), the first workshop to focus on the software engineering challenges of chip-multiprocessors, or multi/manycore computers. With the emergence of multi/manycore, parallelism has become affordable at all levels, and software engineers now face the challenge of parallelizing performance-critical applications of all sorts, not just numeric applications. The workshop is intended to bring together researchers and practitioners with diverse backgrounds to advance the state of the art in software engineering for multi/manycore parallel applications. It aims to establish a community interested in advancing tools and methods for the cost-effective development of a broad spectrum of parallel applications, to start and extend a significant research dialog, and to push the boundaries of multicore software. The call for papers attracted 14 submissions from Australia, Canada, China, France, Germany, India, Russia, Sweden, United Kingdom, and the United States. The program committee accepted eight papers that cover a variety of topics, including parallel libraries, programming models and fault detection, multicore applications, and experience reports. In addition, the program includes a tutorial on Intel® Threading Building Blocks -- an open source library that was designed to simplify programming for multi-core platforms -- and a tutorial on parallel computing with X10, a language that supports a variety of concurrent programming idioms. Capturing an initial state of research and practice, we hope that these proceedings serve as a valuable reference for researchers and developers.
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 | 0.000 | 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 it