Implementation and Evaluation of MPI on an SMP Cluster
Proceedings of the 11 IPPS/SPDP'99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing
Design and Evaluation of Nemesis, a Scalable, Low-Latency, Message-Passing Communication Subsystem
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Scalable address spaces using RCU balanced trees
ASPLOS XVII Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
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Many-core processors are gathering attention in the areas of embedded systems due to their power-performance ratios. To utilize cores of a many-core processor in parallel, programmers build multi-task applications that use the task models provided by operating systems. However, the conventional task models cause some scalability problems when multi-task applications are executed on many-core processors. In this paper, a new task model named Partitioned Virtual Address Space (PVAS), which solves the problems, is proposed. PVAS enhances inter-task communications of multi-task applications and averts serialization of concurrent virtual memory operations. Preliminary evaluations by using micro benchmarks showed that PVAS has the potential to promote the performance of multi-task applications that run on many-core processors.