The effect of multi-bit based connections on the area efficiency of FPGAs utilizing unidirectional routing resources
Bibliographic record
Abstract
Field Programmable Gate Arrays (FPGAs) are increasingly being used to implement large datapath-oriented applications that are designed to process multiple-bit wide data. Studies have shown that the regularity of these multi-bit signals can be effectively exploited to reduce the implementation area of datapath circuits on FPGAs that employ the traditional bidirectional routing. Most of modern FPGAs, however, employ unidirectional routing tracks which are more area and delay efficient. No study has investigated the design of multi-bit routing architectures to effectively transport multiple-bit wide signals using unidirectional routing tracks. This paper presents such an investigation of architectures which employ multi-bit connections and unidirectional routing resources to exploit datapath regularity. It is experimentally shown that unidirectional multi-bit routing architectures are 8.6% more area efficient than the conventional routing architecture. This paper also determines the most area efficient proportion of multi-bit routing tracks.
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.
How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".