By Weixia Xu, Liquan Xiao, Jinwen Li, Chengyi Zhang, Zhenzhen Zhu
This publication constitutes the refereed lawsuits of the 18th nationwide convention on laptop Engineering and expertise, NCCET 2014, held in Guiyang, China, in the course of July/August 2014. The 18 papers offered have been conscientiously reviewed and chosen from eighty five submissions. they're geared up in topical sections on processor structure; desktop program and software program optimization; expertise at the horizon.
Read or Download Computer Engineering and Technology: 18th CCF Conference, NCCET 2014, Guiyang, China, July 29 – August 1, 2014, Revised Selected Papers PDF
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Additional info for Computer Engineering and Technology: 18th CCF Conference, NCCET 2014, Guiyang, China, July 29 – August 1, 2014, Revised Selected Papers
So, the widely used method is to run benchmark programs on models to obtain the performance information. Design space exploration concentrates on finding the optimal parameter configuration to satisfy target requirements within limited time, but the increase in design space and design complexity lends difficulty to this process [3,4]. Traditional techniques use simulators to emulate the processor structure and obtain the performance value of the design points in design space, then to identify which design point is good enough.
The rest of paper is organized as follows. 2. Section 3 proposes the general multicast schemes in bufferless 3D mesh architecture. 4, a novel multicast routing algorithms is proposed. 6. 2 Related Work There are three multicast mechanisms which can be classified as unicast-based, pathbased and tree-based. In unicast-based multicast scheme , the multicast packet is divided into many unicast packets at the source node and transmits to the destinations all by oneself. The advantage of this scheme is that can be run on the unicast routers, and the unicast routers did not require to make any changes.
Nineteen different connection relationships exist in the model, as shown in Table 2. 26 F. Qin et al. Fig. 2. Critical path computation algorithm Table 2. Constitution of critical path Edges Reasons for long delay IFi –IFi+1, DEi –DEi+1, RNi–RNi+1, ISi–ISi+1, CPi–CPi+1 Branch misprediction, cache miss, insufficient reorder buffer, etc IFi –IFi+w, DEi –DEi+w, RNi –RNi+w, ISi –ISi+w, CPi –CPi+w Insufficient width for fetch, decode, rename, issue and commit, etc IFi –DEi, DEi –RNi, RNi –ISi, EXi –WBi, WBi –CPi Inherent delay of pipeline stage, unknown delay, etc ISi –EXi Delay of functional units, insufficient functional units, etc WBi–EXj Data dependence, etc CPi –IFj Control dependence, branch misprediction, etc CPi-w –ISi Insufficient reorder buffer, etc HMCPA: Heuristic Method Utilizing Critical Path Analysis 27 We can determine the number and total length of the 19 edges, as well as rank these edges from long to short to determine the longest edge.