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The development of high-level algebra-algorithmic tools for automated parallel program design for a distributed dynamically scalable fault-tolerant computing platform is proposed. The usage of the developed tools is illustrated on an example of designing a parallel distributed system intended for processing a large amount of streaming data. As an example of data source, there was chosen the Twitter...
An approach of intelligent retargetable tuneable compiler is introduced to overcome the gap between hardware and software development and to increase performance of embedded systems by enhancing their instruction-level-parallelism. It focuses on high-level model and knowledgeable treatment of code generation where knowledge about target microprocessor architecture and human-level heuristics are integrated...
Recently there was an active development of parallel programming methods concerning implementation of general-purpose algorithms on graphical processing units (GPUs). Using this specialized hardware allows increasing performance significantly, but requires low-level programming and understanding details of underlying hardware and software platform. Therefore there is a need for automating development...
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