Enabling Extremely Fine-grained Parallelism via Scalable Concurrent Queues on Modern Many-core Architectures

2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)(2021)

引用 2|浏览17
暂无评分
摘要
Enabling efficient fine-grained task parallelism is a significant challenge for hardware platforms with increasingly many cores. Existing techniques do not scale to hundreds of threads due to the high cost of synchronization in concurrent data structures. To overcome these limitations we present XQueue, a novel lock-less concurrent queuing system with relaxed ordering semantics that is geared towa...
更多
查看译文
关键词
Scalability,Computational modeling,Parallel processing,Benchmark testing,Data structures,Hardware,Data models
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要