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ACM Transactions on Computer Systems (TOCS)
Implementation and performance of Munin
SOSP '91 Proceedings of the thirteenth ACM symposium on Operating systems principles
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ISCA '94 Proceedings of the 21st annual international symposium on Computer architecture
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PPOPP '95 Proceedings of the fifth ACM SIGPLAN symposium on Principles and practice of parallel programming
Memory consistency and event ordering in scalable shared-memory multiprocessors
ISCA '90 Proceedings of the 17th annual international symposium on Computer Architecture
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WTEC'94 Proceedings of the USENIX Winter 1994 Technical Conference on USENIX Winter 1994 Technical Conference
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OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
How to Make a Multiprocessor Computer That Correctly Executes Multiprocess Programs
IEEE Transactions on Computers
Run-time support for distributed sharing in safe languages
ACM Transactions on Computer Systems (TOCS)
Hidden Costs in Avoiding False Sharing in Software DSMs
HiPC '01 Proceedings of the 8th International Conference on High Performance Computing
Efficient support for pipelining in software distributed shared memory systems
Real-time system security
Performance analysis of methods that overcome false sharing effects in software DSMs
Journal of Parallel and Distributed Computing
Exploiting processor groups to extend scalability of the GA shared memory programming model
Proceedings of the 2nd conference on Computing frontiers
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International Journal of High Performance Computing Applications
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ACM Transactions on Mathematical Software (TOMS)
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Proceedings of the Workshop on Binary Instrumentation and Applications
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Proceedings of the 7th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
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Distributed shared memory (DSM) alleviates the need to program message passing explicitly on a distributed-memory machine. In order to reduce memory latency, a DSM replicates copies of data. This paper examines several current approaches to controlling thrashing caused by false sharing in a DSM. Then it introduces a novel memory consistency protocol, writer-owns, which detects and eliminates false sharing at run time. In iterative computations, where the data is accessed similarly every iteration, the writer-owns protocol can have tremendous benefits because the overhead of eliminating false sharing is only incurred once. Performance results show that the writer-owns protocol is competitive with and often better than existing approaches.