Design and Implementation of a Low Power Vedic Multiplier
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Bibliographic record
Abstract
This paper proposes the design of a low power Vedic Multiplier using the technique of Vedic Mathematics that has been modified to reduce the power consumption.Vedic multiplier is based on a novel concept in which the partial products are generated using concurrent additions. In this paper an 8 bit Vedic multiplier is designed using four 4 bit Vedic multipliers and various adder circuits. The adder circuits are realized using mux based adders instead of conventional adders as in normal Vedic multipliers. The 8×8 Vedic Multiplier circuit is coded in verilog, synthesized and simulated using Cadence Software. The power consumption and area of the multiplier using MUX based adders are compared with existing ones. Results show that the power consumption is reduced by 41% when compared to conventional Vedic multipliers and the results appear to be promising. The combination of low power and lesser area makes the new multiplier a viable option for implementing low power designs.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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