Modern platform-based design involves the application-specific extension of embedded processors to fit customer requirements. To accomplish this task, the possibilities offered by recent custom/extensible processors for tuning their instruction set and microarchitecture to the applications of interest have to be exploited. A significant factor often determining the success of this process is th...

This study investigated the effects of planned focus-on-form instruction (pFFI) on developing oral grammatical accuracy in Iranian English EFL learners. To this end, 60 lower-intermediate EFL learners studying English in a private English language institute in Tehran, Iran, were randomly assigned to two classes. Both classes received a task-based instruction on grammatical points elicited in or...

A novel technique for computing a 2n-bit modular multiplication using n-bit arithmetic was introduced at CHES 2002 by Fischer and Seifert. Their technique makes use of an Euclidean division based instruction returning not only the remainder but also the integer quotient resulting from a modular multiplication, i.e., on input x, y and z, both ⌊xy/z⌋ and xy mod z are returned. A second algorithm ...

There are three common approaches to the design of a simulator: event based approach, time based approach and the process based approach. The approach chosen when designing the model should be based on the characteristics of the system under study. One accepted approach of simulating an existing or developing architecture is trace-driven simulation. However, there are multiple problems while ap...

Temperature issues have become a first-order concern for modern computing systems. There are several approaches for dynamic thermal management, including reacting based on some threshold temperature, predicting based on history, or estimating localized temperatures based on performance counters. One possibility for more proactive management is to predict temperatures based on the upcoming instr...

The purpose of this study is to identify the hierarchical radial basis function neural networks and select important input features for each sub-RBF neural network automatically. Based on the pre-defined instruction/operator sets, a hierarchical RBF neural network is created and evolved by using Extended Compact Genetic Programming (ECGP), and the parameters are optimized by Differential Evolut...

We present a GPU functional simulator targeting GPGPU based on the UNISIM framework which takes unaltered NVIDIA CUDA executables as input. It simulates the native instruction set of the Tesla architecture at the functional level and generates detailed execution statistics. Simulation speed is competitive with the less-accurate CUDA emulation mode thanks to optimizations which exploit the inher...