
doi: 10.1109/dsd.2013.98
In this paper, we propose a self-checking ALU based on Scalable Error Detection Coding (SEDC) algorithm which is capable of detecting 100% unidirectional errors. The SEDC encoded ALU is scalable based on the input data length. The area overhead increases only by a small factor with increase in data length while the computational latency remains constant irrespective of the binary data length. We show that the proposed scheme is faster and easily scalable compared with the previous implementations based on Berger and Bose-Lin codes and also more area efficient than Berger Check Prediction based ALU.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
