Automatic mapping of parallel applications onto multi-processor platforms: a multimedia application
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
This paper reviews the challenges in the design of emerging complex systems-on-a-chip (SoC) at STMicroelectronics, from the perspective of our customers' requirements. We then present an approach to effectively integrate heterogenous parallel components - H/W or S/W - into a homogeneous programming environment. This approach, supported by ST's MultiFlex multi-processing SoC environment, allows for the combination of a range of heterogeneous processing elements, supported by high-level programming models. Two programming models are supported: a distributed system object component (DSOC) message passing model, and a symmetrical multi-processing (SMP) model using shared memory. To illustrate the concepts discussed in this paper, we have applied the MultiFlex technology to the mapping of a high-level MPEG4 video encoder (VGA resolution at 30 frames per second) onto a mixed multi-processor and hardware platform.
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 | 0.001 |
| 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) | 0.000 | 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