Titlebook: Algorithms and Architectures for Parallel Processing; 13th International C Rocco Aversa,Joanna Kołodziej,Giancarlo Fortino Conference proce

Adjourn

Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharingces dynamically during application execution. As a result of performance evaluation on several benchmarks, we confirmed the proposed feature correctly works and the performance with heterogeneous work sharing provides up to about 40% higher performance than GPU-only utilization even for relatively small size of problems.

从容

Quality Control of Massive Data for Crowdsourcing in Location-Based Servicesriminate poor quality content in workers’ submission and so on. In this paper, we put forward an approach to control the crowdsourcing quality by evaluating workers’ performance according to their submitted contents. Our experiments have demonstrated the effectiveness and efficiency of the approach.

Virtues

Towards Automatic Generation of Hardware Classifiersimpact on computational load. In this paper we illustrate a hardware architecture of the decision tree predictor, a widely adopted machine learning algorithm. In particular we show how it is possible to automatically generate a hardware implementation of the predictor module that provides a better throughput that available software solutions.

Urea508

https://doi.org/10.1007/978-3-662-41642-6path hops in irregular topologies. Evaluation results show that the average number of hop count in uniform traffic can be improved by up to 11.8%, and the average hop count in neighbor traffic can be improved up to 6.1%.

寒冷

Flu表流动

离开可分裂

Confound

STYX

palpitate