The energy consumption due to input-output pins is a substantial part of the overall chip consumption. To reduce this energy, this work presents the working-zone encoding (WZE) method for encoding an external address bus, based on the conjecture that programs favor a few working zones of their address space at each instant. In such cases, the method identifies these zones and sends through the bus only the offset of this reference with respect to the previous reference to that zone, along with an identifier of the current working zone. This is combined with a one-hot encoding for the offset. Several improvements to this basic strategy are also described. The approach has been applied to several address streams, broken down into instructiononly, data-only, and instruction-data traces, to evaluate the effect on separate and shared address buses. Moreover, the effect of instruction and data caches is evaluated. For the case without caches, the proposed scheme is specially beneficial for dataaddress and shared buses, which are the cases where other codings are less effective. On the other hand, for the case with caches the best scheme for the instruction-only and data-only traces is the WZE, whereas for the instruction-data traces it is either the WZE or the bus-invert with four groups (depending on the energy overhead of these techniques).
The energy consumption at the I of the overall chip consumption. 4 0 pins is a significant part his paper presents a method for encoding an external address bus which lowers its activity and, thus, decreases the energy. This method relies on the locality of memory references. Since applications favor a few working zones of their address space at each instant, for an address to one of these zones only the offset of this reference with respect to the previous reference to that zone needs to be sent over the bus, along with an identifier of the current working zone. This is combined with a modified one-hot encoding for the offset. An estimate of the area and energy overhead of the encoder/decoder are given; their effect is small. The approach has been applied to two memory-intensive examples, obtaining a bus-activity reduction of about.2 3 in both of them. Comparisons are given with previous metho L for bus encoding, showing significant improvement.
Energy consumption has become one of the important factors in digital systems, because of the requirement to dissipate this energy in high-density circuits and to extend the battery life in portable systems such as devices with wireless communication capabilities. Flip-flops are one of the most energyconsuming components of digital circuits. This paper presents techniques to reduce energy consumption by individually deactivating the clock when flip-flops do not have to change their value. Flip-flop structures are proposed and selection criteria given to obtain minimum energy consumption. The structures have been evaluated using energy models and validated by switch-level simulations. For the applications considered, significant energy reductions are achieved. Index Terms-Flip-flop energy model, gated clocks, low power datapaths.
Decisions taken at the earliest steps of the design process may have a significant impact on the characteristics of the final implementation. This paper illustrates how power consumption issues can be tackled during high-level synthesis (high-level transformations, scheduling and binding). Several techniques pursuing low power are proposed and the potential benefits evaluated.The common idea behind these techniques is to reduce the activity of the functional units (e.g. adders, multipliers) by minimizing the changes of their input operands. Preliminary evaluations obtained from switch-level simulations show that significant improvements can be achieved.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.