Northwestern University

Advanced Micro Devices Corporation

Alex Shye

Gokhan Memik

Robert P Dick

Peter A Dinda

Xi Chelsea Chen

Steven Tony Tye

Michael John Bedy

Alok Choudhary

Arindam Mallik

Berkin Ozisikyilmaz

Yan Pan

Benjamin Scholbrock

J Scott Miller

Lei Yang

Richard L Ford

Systems and methods for controlling power consumption in a computer system. For each of a plurality of interactive applications, the method changes a frequency at which a processor of the computer system runs, receives an indication of user satisfaction, determines a relationship between the changed frequency and the user satisfaction of the interactive application, and stores the determined relationship information. The determined relationship can distinguish between different users and different interactive applications. A frequency may be selected from the discrete frequencies at which the processor of the computer system runs based on the determined relationship information for a particular user and a particular interactive application running on the processor of the computer system. The processor may be adapted to run at the selected frequency.

System and method for controlling power consumption in a computer system based on user satisfaction

A system and method for leveraging physiological traits to control microprocessor frequency are disclosed. In some embodiments, the system and method may optimize, for example, a particular processor-based architecture based on, for example, end user satisfaction. In some embodiments, the system and method may determine, for example, whether their users are satisfied to provide higher efficiency, improved reliability, reduced power consumption, increased security, and a better user experience. The system and method may use, for example, biometric input devices to provide information about a user's physiological traits to a computer system. Biometric input devices may include, for example, one or more of the following: an eye tracker, a galvanic skin response sensor, and/or a force sensor.

System and method for leveraging human physiological traits to control microprocessor frequency

An approach to region selection which extends beyond traces and selects super-regions. A super-region (SR) contains arbitrary control flow, such as interprocedural nested loops, that provides a larger scope for transformation (e.g. optimization) than traces. Hardware samples are used to identify SRs that contain the hot code of a client process without requiring any static program information.

Selecting regions of hot code in a dynamic binary rewriter

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Evanston, IL, United States of America

Alex Shye