Scheduling Multithreaded Computations by Work Stealing

steal.pdf http://supertech.csail.mit.edu/papers/steal.pdf

This paper studies the problem of eciently scheduling fully strict (i.e., wellstructured) multithreaded computations on parallel computers. A popular and practical method of scheduling this kind of dynamic MIMD-style computation is \work stealing," in which processors needing work steal computational threads from other processors. In this paper, we give the rst provably good work-stealing scheduler for multithreaded computations with dependencies.

posted @   papering  阅读(121)  评论(0编辑  收藏  举报
编辑推荐:
· 开发者必知的日志记录最佳实践
· SQL Server 2025 AI相关能力初探
· Linux系列:如何用 C#调用 C方法造成内存泄露
· AI与.NET技术实操系列(二):开始使用ML.NET
· 记一次.NET内存居高不下排查解决与启示
阅读排行:
· 阿里最新开源QwQ-32B,效果媲美deepseek-r1满血版,部署成本又又又降低了!
· 开源Multi-agent AI智能体框架aevatar.ai,欢迎大家贡献代码
· Manus重磅发布:全球首款通用AI代理技术深度解析与实战指南
· 被坑几百块钱后,我竟然真的恢复了删除的微信聊天记录!
· AI技术革命,工作效率10个最佳AI工具
历史上的今天:
2018-12-29 UDR rsync
2018-12-29 python server
2018-12-29 /proc/loadavg top 系统 负载 数据 来源
2018-12-29 rsync
2018-12-29 2个网卡流量的变化
2018-12-29 服务器端FIN的条件
2018-12-29 The third column indicates whether subclasses of the class declared outside this package have access to the member.;
点击右上角即可分享
微信分享提示