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A major challenge of Dynamic Binary Translation (DBT) is to efficiently handle the indirect branch. Conventionally, to translate indirect branches (IBs), DBT systems need to conduct address mapping between Source Binary Blocks (SBB) and Translated Binary Blocks (TBB). However, even a dedicated address mapping process still results in non-trivial performance overheads to DBT. This paper first provides...
Heterogeneous multi-core processors have strong potential for performance improvement, energy efficiency and area efficiency, compared to the homogeneous multi-core processors. The present methods of execution migration for heterogeneous multi-core processor suffer in efficiency, cost, compatibility, or programmability. In this paper, we propose a HW/SW code sign migration method based on binary-instrumentation...
ISS (Instruction Set Simulator) plays an important role in pre-silicon software development for ASIP. However, the speed of traditional simulation is too slow to effectively support full-scale software development. In this paper, we propose a hybrid simulation framework which further improves the previous simulation methods by aggressively utilizing the host machine resources. The utilization is achieved...
Dynamic binary instrumentation tools play a very important role in program analysis. The information gathered by these tools is quite useful in software development, testing, debugging, simulation and optimization. SEntre is such an instrumentation system with the features of efficiency, ease-to-use interface, transparency and comprehensiveness. To obtain good performance, we employ instrumentation...
The air flow is an important parameter for the proton exchange membrane fuel cells (PEMFC) engine. Based on a modified Elman neural network, a model, which is used to forecast the air flow for fuel cell compressor, will be introduced. And the Elman neural network is used to learn and train simulation experiments of the network, and compared with simulation result of the BP neural network. Simulation...
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