An evaluation of software-based release consistent protocols
Journal of Parallel and Distributed Computing - Special issue on distributed shared memory systems
VM-based shared memory on low-latency, remote-memory-access networks
Proceedings of the 24th annual international symposium on Computer architecture
Extending OpenMP for NUMA machines
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
The Virtual Interface Architecture
IEEE Micro
WOMPAT '01 Proceedings of the International Workshop on OpenMP Applications and Tools: OpenMP Shared Memory Parallel Programming
SPEComp: A New Benchmark Suite for Measuring Parallel Computer Performance
WOMPAT '01 Proceedings of the International Workshop on OpenMP Applications and Tools: OpenMP Shared Memory Parallel Programming
Home-Based SVM Protocols for SMP Clusters: Design and Performance
HPCA '98 Proceedings of the 4th International Symposium on High-Performance Computer Architecture
High performance MPI-2 one-sided communication over InfiniBand
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
Towards OpenMP Execution on Software Distributed Shared Memory Systems
ISHPC '02 Proceedings of the 4th International Symposium on High Performance Computing
Supporting realistic OpenMP applications on a commodity cluster of workstations
WOMPAT'03 Proceedings of the OpenMP applications and tools 2003 international conference on OpenMP shared memory parallel programming
Effective admission and congestion control for interconnection networks of cluster computing systems
International Journal of High Performance Computing and Networking
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For the past decades computer engineers have focused on building high-performance and large-scale computer systems with low-cost. One of the examples is a distributed-memory computer system like a cluster, where fast processing nodes to use commodity processors are connected through a high speed network. But it is not easy to develop applications on this system, because a programmer must consider all data and control dependences between processes and program them explicitly. For alleviating this problem the distributed virtual shared-memory (DVSM) system has been proposed. It is well known that the performance of the DVSM system highly depends on the network's performance and programming semantics, and currently its performance is very limited on a conventional network. Recently many advanced hardware-based interconnection technologies have been introduced, and one of them is the InfiniBand Architecture (IBA) which supports shared-memory programming semantics by means of remote direct-memory access (RDMA) and atomic operations. In this paper, we present the implementation of our InfiniBand-based DVSM system and analyze the performance of SPEC OMP benchmarks in detail by comparing with the DVSM based on the traditional network architecture and the hardware shared-memory multiprocessor (SMP) system. As experiment result, we show that our DVSM system to use full features of the IBA can improve the performance significantly over the IPoIB-based traditional system on the IBA, and furthermore the performance of one application on the IBA-based DVSM system is better than on the hardware SMP.