Advanced Parallel Processing Technologies: 11th by Yunji Chen, Paolo Ienne, Qing Ji

By Yunji Chen, Paolo Ienne, Qing Ji

This publication constitutes the complaints of the eleventh overseas Symposium on complicated Parallel Processing applied sciences, APPT 2015, held in Jinan, China, in August 2015. The eight papers awarded during this quantity have been rigorously reviewed and chosen from 24 submissions. They take care of the new advances in mammoth facts processing; parallel architectures and structures; parallel software program; parallel algorithms and purposes; and allotted and cloud computing.

Show description

Read Online or Download Advanced Parallel Processing Technologies: 11th International Symposium, APPT 2015, Jinan, China, August 20-21, 2015, Proceedings PDF

Similar international_1 books

Recent Advances in Constraints: Joint ERCIM/CoLogNet International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2004, Lausanne, Switzerland, June 23-25, 2004, Revised Selected and Invited Papers

This publication constitutes the completely refereed and prolonged post-proceedings of the ERCIM/CoLogNet overseas Workshop on Constraint delight and Constraint good judgment Programming, CSCLP 2004, held in Lausanne, Switzerland in June 2004. in addition to papers taken from the workshop, others are submitted based on an open demand papers after the workshop.

Advances in Speech and Language Technologies for Iberian Languages: Second International Conference, IberSPEECH 2014, Las Palmas de Gran Canaria, Spain, November 19-21, 2014. Proceedings

This ebook constitutes the refereed complaints of the IberSPEECH 2014 convention, held in Las Palmas de Gran Canaria, Spain, in November 19-21, 2014. The 29 papers provided have been rigorously reviewed and chosen from 60 submissions. The papers are geared up in topical sections on speech construction, research, coding and synthesis; speaker and language characterization; computerized speech attractiveness; speech of language applied sciences in several program fields.

The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt

The convention issues tackle diversified theoretical and functional points, and imposing suggestions for clever structures and informatics disciplines together with bioinformatics, desktop technology, clinical informatics, biology, social reviews, in addition to robotics learn. The convention additionally talk about and current recommendations to the cloud computing and large info mining that are thought of scorching study subject matters.

Additional info for Advanced Parallel Processing Technologies: 11th International Symposium, APPT 2015, Jinan, China, August 20-21, 2015, Proceedings

Example text

In general, the sampling-based schedulers introduce significant overhead due to the frequent migration of applications between cores. Moreover, such sampling overhead increases rapidly with the number of core types in the system. To avoid the sampling overhead, a number of non-sample works were proposed. In [8, 13], the authors leveraged memory intensity such as cache miss rate or memory stalls to classify applications as memory-intensive or compute-intensive. Schedulers assign compute-intensive applications to the big cores for better performance and assign memory-intensive applications to the small cores for energy efficiency.

Due to the success in both theory and practice, this work has been awarded the 2012 nobel prize for economic [16]. In the stable matching scheduler, to regard applications and cores as the two sets of individuals involved in the matching game, we need to know the preferences of each application and core, which are inferred by an Artificial Neural Networks (ANN) prediction model with limited hardware overhead. The detail of ANN prediction model will be described in Sect. 2. Stable Matching Scheduler 47 We leverage three different HMPs (4-core, 6-core, 8-core) and select a number of representative benchmarks from the SPEC CPU2006 benchmark suite [17] to evaluate our scheduler.

Figure 4 shows the 42 W. Wang et al. Fig. 5. Speedup over CPU cluster Fig. 6. Time breakdown evaluation results. 39x. The Word Count can get more benefits from it, as there is more proportion of I/O and reduce phases during the execution. 2. K-Means can get the best performance, as Hadoop can hardly utilize the VPUs in map phase, while Sfm can use them efficiently. Especially, Word Count gets little benefit from Sfm, as there is no SIMD operations in the map phase. Then, we compare our system running on the CPU-MIC cluster with Hadoop running on the ordinary CPU cluster.

Download PDF sample

Rated 4.50 of 5 – based on 26 votes