Understanding application performance on shared virtual memory systems
ISCA '96 Proceedings of the 23rd annual international symposium on Computer architecture
SoftFLASH: analyzing the performance of clustered distributed virtual shared memory
Proceedings of the seventh international conference on Architectural support for programming languages and operating systems
OSDI '96 Proceedings of the second USENIX symposium on Operating systems design and implementation
PPOPP '97 Proceedings of the sixth ACM SIGPLAN symposium on Principles and practice of parallel programming
The SGI Origin: a ccNUMA highly scalable server
Proceedings of the 24th annual international symposium on Computer architecture
Cashmere-2L: software coherent shared memory on a clustered remote-write network
Proceedings of the sixteenth ACM symposium on Operating systems principles
Scaling application performance on a cache-coherent multiprocessor
ISCA '99 Proceedings of the 26th annual international symposium on Computer architecture
Application scaling under shared virtual memory on a cluster of SMPs
ICS '99 Proceedings of the 13th international conference on Supercomputing
ACM Transactions on Computer Systems (TOCS)
The effects of communication parameters on end performance of shared virtual memory clusters
SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
Using memory-mapped network interfaces to improve the performance of distributed shared memory
HPCA '96 Proceedings of the 2nd IEEE Symposium on High-Performance Computer Architecture
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
Removing the overhead from software-based shared memory
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Dynamic Data Replication: An Approach to Providing Fault-Tolerant Shared Memory Clusters
HPCA '03 Proceedings of the 9th International Symposium on High-Performance Computer Architecture
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Recently much effort has been spent on providing a shared address space abstraction on clusters of small-scale symmetric multiprocessors. However, advances in technology will soon make it possible to construct these clusters with larger-scale cc-NUMA nodes, connected with non-coherent networks that offer latencies and bandwidth comparable to interconnection networks used in hardware cache-coherent systems. The shared memory abstraction can be provided on these systems in software across nodes and in hardware within nodes.In this work we investigate this approach to building future software shared memory clusters. We use an existing, large-scale hardware cache-coherent system with 64 processors to emulate a future cluster. We present results for both 32- and 64-processor system configurations. We quantify the effects of faster interconnects and wide, NUMA nodes on system design and identify the areas where more research is required for future SVM clusters. We find that current SVM protocols can only partially take advantage of faster interconnects and they need to be adjusted to the new system features. In particular, unlike in today's clusters that employ SMP nodes, improving intra-node synchronization and data placement are key issues for future clusters. Data wait time and synchronization costs are not major issues, when not affected by the cost of page invalidations.