Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 162 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 30 tok/s Pro
GPT-5 High 31 tok/s Pro
GPT-4o 73 tok/s Pro
Kimi K2 203 tok/s Pro
GPT OSS 120B 430 tok/s Pro
Claude Sonnet 4.5 38 tok/s Pro
2000 character limit reached

An ASIC Implementation and Evaluation of a Profiled Low-Energy Instruction Set Architecture Extension (2103.08910v1)

Published 16 Mar 2021 in cs.AR

Abstract: This paper presents an extension to an existing instruction set architecture, which gains considerable reduction in power consumption. The reduction in power consumption is achieved through coding of the most commonly executed instructions in a short format done by the compiler based on a profile of previous executions. This leads to fewer accesses to the instruction cache and that more instructions can fit in the cache. As a secondary effect, this turned out to be very beneficial in terms of power. Another major advantage, which is the main concern of this paper is the reduction in the number of instruction fetch cycles which will also contribute significantly towards reduction in power consumption. The work involves implementing the new processor architecture in ASIC and estimation of power-consumption compared to the normal architecture.

Citations (1)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.