Document Type

Open Access Thesis

Embargo Period

11-25-2014

Degree Program

Electrical & Computer Engineering

Degree Type

Master of Science in Electrical and Computer Engineering (M.S.E.C.E.)

Year Degree Awarded

2015

Month Degree Awarded

February

Advisor Name

C. M.

Advisor Last Name

Krishna

Co-advisor Name

Israel

Co-advisor Last Name

Koren

Abstract

Continued scaling of CMOS technology has led to increasing working temperature of VLSI circuits. High temperature brings a greater probability of permanent errors (failure) in VLSI circuits, which is a critical threat for real-time systems. As the multi-core architecture is gaining in popularity, this research proposes an adaptive workload assignment approach for multi-core real-time systems to balance thermal stress among cores. While previously developed scheduling algorithms use temperature as the criterion, the proposed algorithm uses reliability of each core in the system to dynamically assign tasks to cores. The simulation results show that the proposed algorithm gains as large as 10% benefit in system reliability compared with commonly used static assignment while algorithms using temperature as criterion gain 4%. The reliability difference between cores, which indicates the imbalance of thermal stress on each core, is as large as 25 times smaller when proposed algorithm is applied.

Share

COinS