Wavelet-Based Trace Alignment Algorithms for Heterogeneous Architectures PROJECT TITLE :Wavelet-Based Trace Alignment Algorithms for Heterogeneous ArchitecturesABSTRACT:Heterogeneous architectures with single-instruction set architecture (ISA) asymmetric cores can improve both the performance and energy efficiency of software execution by dynamically selecting the most appropriate core type to run each execution thread. In this paper, we propose a trace-based methodology to explore power and performance benefits of single-ISA heterogeneous core architectures. The basic idea is to collect multiple traces by running a workload on different homogeneous platforms, and to align these traces for offline analysis. For this, we propose a wavelet-based similarity metric, which captures both fine-grain and coarse-grain software phases across different traces. Then, we propose a scalable dynamic programming algorithm to optimize this metric to align the traces. Our experiments show that the runtime and energy values predicted by our offline methodology have good accuracy with respect to the real measurements from a prototype heterogeneous system. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Ameliorating Thermally Accelerated Aging With State-Based Application of Fault-Tolerance in Cyber-Physical Computers Secure and Efficient Architectures for Single Exponentiations in Finite Fields Suitable for High-Performance Cryptographic Applications
