Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  addresses the problem of efficiently supporting parallelism within a managed runtime. A popular approach for exploiting software parallelism on parallel hardware is task parallelism, where the programmer explicitly identifies potential parallelism and the runtime then schedules the work. Work-stealing is a promising scheduling strategy that a runtime may use to keep otherwise idle hardware busy while relieving overloaded hardware of its burden. Hover, work-stealing comes with substantial overheads. Recent work identified sequential overheads of work-stealing, those that occur even when no stealing takes place, as a significant source of overhead. That work was able to reduce sequential overheads to just 15%.   In this work,  turn to dynamic overheads, those that occur each time a steal takes place.  show that the dynamic overhead is dominated by introspection of the victim's stack when a steal takes place.  exploit the idea of a low overhead return barrier to reduce the dynamic overhead by approximately half, resulting in total performance improvements of as much as 20%. Because, unlike prior work,  attack the overheads directly due to stealing and therefore attack the overheads that grow as parallelism grows,  improve the scalability of work-stealing applications. This result is complementary to recent work addressing the sequential overheads of work-stealing. This work therefore substantially relieves work-stealing of the increasing pressure due to increasing intra-node hardware parallelism.
['Vivek Kumar', 'Stephen M. Blackburn', 'David Grove']
I am writing a research paper on a idea Friendly barriers: efficient work-stealing with return barriers
[{"from": "human", "value": "I am writing a research paper on a idea Friendly barriers: efficient work-stealing with return barriers"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  addresses the problem of efficiently supporting parallelism within a managed runtime. A popular approach for exploiting software parallelism on parallel hardware is task parallelism, where the programmer explicitly identifies potential parallelism and the runtime then schedules the work. Work-stealing is a promising scheduling strategy that a runtime may use to keep otherwise idle hardware busy while relieving overloaded hardware of its burden. Hover, work-stealing comes with substantial overheads. Recent work identified sequential overheads of work-stealing, those that occur even when no stealing takes place, as a significant source of overhead. That work was able to reduce sequential overheads to just 15%.   In this work,  turn to dynamic overheads, those that occur each time a steal takes place.  show that the dynamic overhead is dominated by introspection of the victim's stack when a steal takes place.  exploit the idea of a low overhead return barrier to reduce the dynamic overhead by approximately half, resulting in total performance improvements of as much as 20%. Because, unlike prior work,  attack the overheads directly due to stealing and therefore attack the overheads that grow as parallelism grows,  improve the scalability of work-stealing applications. This result is complementary to recent work addressing the sequential overheads of work-stealing. This work therefore substantially relieves work-stealing of the increasing pressure due to increasing intra-node hardware parallelism."}]