Starting with a brief review on the single-electron memory and its significance among various single-electron devices, this paper addresses the key issues which one inevitably encounters when one tries to achieve giga-to-tera bit memory integration. Among the issues discussed are: room-temperature operation; memory-cell architecture; sensing scheme; cell-design guideline; use of nanocrystalline silicon versus lithography; array architecture; device-to-device variations; read/write error rate; and CMOS/single-electron-memory hybrid integration and its positioning among various memory architectures.

Power consumption analyzes of embedded processors indicate that a significant amount of power is consumed in accessing memory and in the control path. Based on this, and on the runtime characteristics of signal processing applications, we advocate the use of instruction buffering as a power-saving technique for processors for signal processing and multimedia applications. Two approaches, a decoded instruction buffer (DIB) and a decoded instruction cache, are considered. Performance improvements in representative applications in speech processing such as, the vector sum excited linear prediction (VSELP), linear prediction coding coefficient computation (LPC), and two-dimensional 2-D 8/spl times/8 DCT which is used in image compression, are provided. The reduction in power obtained is between between 25 and 30%.

This paper presents a new pipeline structure that dramatically reduces the power consumption of multimedia processors by using the commonly observed characteristic that most of the execution cycles of signal processing programs are used for loop executions. In our pipeline, the signals obtained by decoding the instructions included in a loop are temporarily stored in a small-capacity RAM that we call decoded instruction buffer (DIB), and are reused at every cycle of the loop iterations. The power saving is achieved by stopping the instruction fetch and decode stages of the processor during the loop execution except its first iteration. The result of our power analysis shows that about 40% power saving can be achieved when our pipeline structure is incorporated into a digital signal processor or RISC processor. The area of the DIB is estimated to be about 0.7 mm/sup 2/ assuming triple-metal 0.5 /spl mu/m CMOS technology.