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[Author] Jun MIYAZAKI(4hit)

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  • Software Cache Techniques for Memory Nodes in Distributed Memory Parallel Production Systems

    Jun MIYAZAKI   Haruo YOKOTA  

     
    PAPER-Architectures

      Vol:
    E79-D No:8
      Page(s):
    1046-1054

    Because the match phase in OPS5-type production systems requires most of the system's execution time and memory accesses, we proposed hash-based parallel production systems, CPPS (Clustered Parallel Production Systems), based on the RETE algorithm for distributed memory parallel computers, or multicomputers to reduce such a bottleneck. CPPS was effective in speeding up the match phase, but still left room for optimizations. In this paper, we introduce software cache techniques to memory nodes in the CPPS as one of the optimizations, and implement it on a multicomputer, nCUBE2. The benchmark results show that the CPPS with the software cache is about 2-fold faster than the original, and more than 7-fold faster than the simple hash method proposed by Acharya et al. for a large scale problem. The speed-up can be attributed to decreased communication costs.

  • FOREWORD Open Access

    Shingo OTSUKA  Jun MIYAZAKI  

     
    FOREWORD

      Vol:
    E103-D No:5
      Page(s):
    914-915
  • FOREWORD Open Access

    Jun MIYAZAKI  

     
    FOREWORD

      Vol:
    E94-D No:3
      Page(s):
    487-488
  • Concurrency Control and Performance Evaluation of Parallel B-tree Structures

    Jun MIYAZAKI  Haruo YOKOTA  

     
    PAPER-Databases

      Vol:
    E85-D No:8
      Page(s):
    1269-1283

    The Fat-Btree which is a new parallel B-tree structure has been proposed to improve the access performance of shared-nothing parallel database systems. Since the Fat-Btree has only a part of index nodes on each processing element, it can reduce the synchronization cost in update operations. For these reasons, both retrieval and update operations can be processed at high throughput compared to previously proposed parallel B-tree structures for shared-nothing computers. Though we tried to apply some conventional concurrency control methods to the Fat-Btree, e.g., B-OPT and ARIES/IM, which were designed for shared-everything machines, we found that these methods are not always appropriate for the Fat-Btree. In this paper, it is shown that the conventional methods are not suitable for the Fat-Btree and other parallel B-trees. We propose a new deadlock free concurrency control protocol, named INC-OPT, to improve the performance of the Fat-Btree more effectively than the B-OPT and ARIES/IM. Furthermore, in order to prove that the Fat-Btree provides the impact on the performance of shared-nothing parallel databases, we compare the real performance of three types of parallel B-tree structures, Fat-Btree, Copy-Whole-Btree, and Single-Index-Btree, on an nCUBE3 machine where the INC-OPT is applied.