To understand the macroscopic function of the human heart based on sub-cellular microscopic events, multiscale analysis is indispensable. Our heart simulator uses the so-called homogenization method, where both the human heart and the myocardial cells are modeled and solved simultaneously by the finite element method. Because the contraction and deformation of each finite element in the heart model are governed by their respective cell model, the NDOF of all the cells becomes prohibitively large. Furthermore, the phenomena are highly nonlinear and transient. This challenging problem has been tackled by our group for many years, and a novel algorithm to accelerate the computation was implemented in the code. We have recently tested its performance using the T2K Open Supercomputer (Tokyo). A pulsation of the heart with a total NDOF of 160 million was successfully simulated using 6144 CPU cores in ten hours. Scalability and other computational performances were measured and are discussed.

We have developed the Grid Service Platform (GSP), which is a grid middleware for telecom carriers. GSP can support not only non-interactive batch style services, but also interactive real-time services. Moreover, GSP attains autonomous resource sharing between services based on the priority of each service. We conducted a field trial of GSP on a testbed that consisted of three sites in Japan and France. Two different types of services were implemented on GSP: a video conferencing service (interactive) and a batch queuing service (non-interactive). As a result, the performance of both services were simultaneously enhanced. The session capacity of the video conferencing service was improved by up to 30%, while the total execution time of batch jobs was reduced by 12%.

Desk Side Laboratory (DSLab), which allows scientists and engineers in geographically different locations to do state-of-the-art research and development through Internet on their Web browsers, has been developed only using commodity products. It has an easy-to-use user interface. It has been found that, when applied to an optimization design of mobile communication system, DSLab is very useful to determine optimization parameters in real time and can yield the results with high reliability in a short time. It has been expected that DSLab is useful for an interdisciplinary approach of state-of-the-art research and development

Recently, there have been demands for greater functional diversity and higher performance in the information technology infrastructure. As a result, the complexity and scale of product design in the product development phase have increased. In addition, development periods need to be reduced so products can be marketed sooner. These requirements have rapidly increased the need to simulate and analyze efficiently in order to achieve optimum designs and verification. At the same time, the needs to do massive simulations effectively become large to avoid the risks in financial business. To satisfy these requirements, there are some technical issues to be solved. For this purpose, CyberGRIP has been developed as grid problem solving environments to realize the virtualization of heterogeneous distributed computing resources. This paper describes the detail explanation of CyberGRIP, its concrete applications and results for the product development in manufacturing industries and for the currency option in financial business.