Kenichi Hayashi

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The scalability of distributed-memory parallel computers makes them attractive candidates for solving large-scale problems. New languages, such as HPF, FortranD, and VPP Fortran, have been developed to enable existing software to be easily ported to such machines. Many distributed-memory parallel computers have been built, but none of them support the(More)
In Augmented Reality, the occlusion between virtual and real objects has to be managed correctly, so that users can look at the natural scene. In order to overcome this problem, the depth of the real world from the user's viewpoint is employed. However, if the system is used in an environment including moving or deformable objects, the depth has to be(More)
A complete implementation of MPI for the Fujitsu AP1000+ is presented. The library can employ a number of diierent mechanisms in implementing the send and receive message passing operations. The method of detecting the arrival of new messages can be realized through interrupt-driven and polling techniques. Transferring message data is achieved by either(More)
The Japanese Gastric Cancer Association (JGCA) started a new nationwide gastric cancer registry in 2008. Approximately 50 data items, including surgical procedures, pathological diagnoses, and survival outcomes, for 12004 patients with primary gastric cancer treated in 2001 were collected retrospectively from 187 participating hospitals. Data were entered(More)
The performance of message-passing applications depends on cpu speed, communication throughput and latency, and message handling overhead. In this paper we investigate the effect of varying these parameters and applying techniques to reduce message handling overhead on the execution efficiency of ten different applications. Using a message level simulator(More)
OBJECTIVE The Injustice Experience Questionnaire (IEQ) assesses injury-related perceived injustice. This study aimed to (1) develop a Japanese version (IEQ-J), (2) examine its factor structure, validity, and reliability, and (3) discover which demographic variable(s) positively contributed to prediction of IEQ-J scores. METHODS Data from 71 patients (33(More)