Transcedental functions on a shift-enabled reconfigurable device: CORDIC as a case-study
Why this work is in the frame
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Bibliographic record
Abstract
Presented is a mapping of a CORDIC algorithm to a recently proposed reconfigurable array geared towards the calculation of transcedental functions. This work demonstrates that the previously introduced shift-enabled embedded reconfigurable array (ShEERA) yields speed performance very close (and better in certain cases) to that of an ASIC generated with standard cells, but with a high degree of flexibility to eliminate recurring engineering costs. The ShEERA array outperformed a commercial FPGA by 3times to 20times with the same CORDIC algorithm mapped to the device. Delay and area performance are presented, and coupled with energy analysis which has been presented in prior art, the device shows excellent promise for use in embedded applications where cost, performance, and energy consumption are paramount.
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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 | 0.001 | 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 | 0.001 |
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