نتایج جستجو برای: data flow computing
تعداد نتایج: 3073999 فیلتر نتایج به سال:
A novel master-multi-SIMD architecture and its kernel (template) based parallel programming flow is introduced as a parallel signal processing platform. The name of the platform is ePUMA (embedded Parallel DSP processor architecture with Unique Memory Access). The essential technology is to separate data accessing kernels from arithmetic computing kernels so that the run-time cost of data acces...
AbsrructAs the number of available multiprocessors increases, so does the importance of providing software support for these systems, including parallel compilers. Data flow analysis, an important component of software tools, may be computed many times during the compilation of a program, especially when compiling for a multiprocessor. Although converting a sequential data flow algorithm to a p...
Introduction: Various studies have demonstrated the benefits of using distributed fog computing for the Internet of Things (IoT). Fog computing has brought cloud computing capabilities such as computing, storage, and processing closer to IoT nodes. The new model of fog and edge computing, compared to cloud computing, provides less latency for data processing by bringing resources closer to user...
As the number of available multiprocessors increases, so does the importance of providing software support for these systems, including parallel compilers. Data flow analysis, an important component of software tools, may be computed many times during the compilation of a program, especially when compiling for a multiprocessor. Although converting a sequential data flow algorithm to a parallel ...
Abstract: Data-flow analysis of arrays is an important analysis used in optimizing and parallelizing compilers. Last write tree(LWT) is a typical algorithm of array data-flow analysis. But the method of computing the root domain of LWT is not given precisely, sometimes it is even restricted. This paper presents a new computing model and a new algorithm of LWT to solve this problem. In this mode...
Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...
Signal processing applications which are iterative in nature are best represented by data flow graphs (DFG). In these applications, the maximum sampling frequency is dependent on the topology of the DFG, the cyclic dependencies in particular. The determination of the iteration bound, which is the reciprocal of the maximum sampling frequency, is critical in the process of hardware implementation...
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