Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Work stealing is a popular policy for dynamic load balancing of irregular applications. Hover, communication overhead incurred by work stealing may make it less efficient, especially on distributed memory systems. In this work  propose an asynchronous work stealing (AsynchWS) strategy which exploits opportunities to overlap communication with local residual tasks. Profiling information is collected locally to optimize task granularity and guide the asynchronous work stealing. AsynchWS is implemented in Unified Parallel C (UPC), which effectively supports non-blocking one-sided communication and facilitates the implementation. Experiments are conducted on a 32 nodes Xeon X5650 cluster using a set of irregular applications. Results show that up to 16% better performance than the state-of-the-art strategies on distributed memory.
['Shigang Li', 'Jingyuan Hu', 'Xin Cheng', 'Chongchong Zhao']
I am writing a research paper on a idea Asynchronous Work Stealing on Distributed Memory Systems
[{"from": "human", "value": "I am writing a research paper on a idea Asynchronous Work Stealing on Distributed Memory Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Work stealing is a popular policy for dynamic load balancing of irregular applications. Hover, communication overhead incurred by work stealing may make it less efficient, especially on distributed memory systems. In this work  propose an asynchronous work stealing (AsynchWS) strategy which exploits opportunities to overlap communication with local residual tasks. Profiling information is collected locally to optimize task granularity and guide the asynchronous work stealing. AsynchWS is implemented in Unified Parallel C (UPC), which effectively supports non-blocking one-sided communication and facilitates the implementation. Experiments are conducted on a 32 nodes Xeon X5650 cluster using a set of irregular applications. Results show that up to 16% better performance than the state-of-the-art strategies on distributed memory."}]