Tiled architectures are emerging as an architectural platform that allows high levels of instruction level parallelism. Traditional compiler parallelization techniques are usually employed to generate programs for the...
详细信息
Tiled architectures are emerging as an architectural platform that allows high levels of instruction level parallelism. Traditional compiler parallelization techniques are usually employed to generate programs for these architectures. However, for specific application domains, the compiler is not able to effectively exploit the domain knowledge. In this paper, we propose a new programmingmodel that, by means of the definition of software function units, allows domain-specific features to be explicitly modeled, achieving good performances while reducing development times with respect to low-level programming. Identity-based cryptographic algorithms are known to be computationally intensive and difficult to parallelize automatically. Recent advances have led to the adoption of embedded cryptographic coprocessors to speed up both traditional and identity-based public key algorithms. We show the effectiveness of the proposed programmingmodel by applying it to the case of computationally intensive cryptographic algorithms in both identity-based and traditional algorithms. Custom-designed coprocessors have high development costs and times with respect to general purpose or DSP coprocessors. Therefore, the proposed methodology can be effectively employed to reduce time to market while preserving performances. It also represents a starting point for the definition of cryptography-oriented programming languages. We prove that tiled architecture well compare w.r.t. competitors implementations such as StrongARM and FPGAs.
The evolutionary hypernetwork is a kind of cognitive learning model inspired by biological networks and the hypernetwork model has been successfully applied in plenty of *** the hypernetwork model may lead to a huge a...
详细信息
The evolutionary hypernetwork is a kind of cognitive learning model inspired by biological networks and the hypernetwork model has been successfully applied in plenty of *** the hypernetwork model may lead to a huge amount of hyperedges in the process of high dimensional data,which is the bottleneck of the single machine hardware *** order to solve this problem,this paper presents the parallelmodel of hypernetwork computation under the Hadoop cloud computing platform,which changes single machine algorithm to multiple *** studies on the acute leukemia dataset result demonstrate that the proposed hypernetwork classifier of parallel evolutionary hypernetwork model based on the Hadoop cloud computing platform has higher classification accuracy rate and good *** is the main advantage of the parallel evolutionary hypernetwork model.
暂无评论