A framework of embedded reconfigurable systems based on re-locatable virtual components
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
The use of modern field-programmable logic devices can help system designers achieve better cost-performance characteristics, in particular in the case of multi-task and multi-modal workloads. This is particularly true when the embedded systems are based on run-time and partially reconfigurable FPGA devices. Such devices permit a system to implement part of its functionality in virtual form, by storing circuits as configuration bit-streams. The use of such virtual components, however, imposes certain requirements on both the behaviour of the system as well as the components themselves. The work presented here analyses some of these requirements, and proposes a potential framework for designing embedded systems using virtual resources. Two examples of a system using virtual components are presented and the infrastructure overhead for supporting virtual components is analysed. It is found that such systems can be implemented efficiently, both in terms of hardware resources as well as timing performance.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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