图 书 馆
基于大规模并行硬件的RDFS推理RDFS Reasoning on Massively Parallel Hardware |
|
| 课程网址: | http://videolectures.net/iswc2012_heino_parallel_hardware/ |
| 主讲教师: | Norman Heino |
| 开课单位: | 莱比锡大学 |
| 开课时间: | 2012-12-03 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Recent developments in hardware have shown an increase in parallelism as opposed to clock rates. In order to fully exploit these new avenues of performance improvement, computationally expensive workloads have to be expressed in a way that allows for fine-grained parallelism. In this paper, we address the problem of describing RDFS entailment in such a way. Di erent from previous work on parallel RDFS reasoning, we assume a shared memory architecture. We analyze the problem of duplicates that naturally occur in RDFS reasoning and develop strategies towards its mitigation, exploiting all levels of our architecture. We implement and evaluate our approach on two real-world datasets and study its performance characteristics on di erent levels of parallelization. We conclude that RDFS entailment lends itself well to parallelization but can benefit even more from careful optimizations that take into account intricacies of modern parallel hardware. |
| 关 键 词: | 硬件; 并行性; 工作负载 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-08：cwx |
| 阅读次数: | 62 |