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CUDA is the Parallel Computing Architecture developed by NVIDIA, which utilizes the highly developed parallel computing process of GPU (Graphics Processing Unit, a graphics-only processor in graphic card) in general purpose computing. For just using NVIDIA GPU in a desktop computer, CUDA technology can dramatically increase the computing process speed more than tens of times faster rather than that of the conventional CPU, because it enables hundreds or thousands of cores' simultaneous process in GPU. All our products are created to maximize its performance by employing graphics processing unit (GPU).
In science or engineering simulation which requires large-scale calculation, the most cost-effective solution is to take parallel processing. Based on the divide-and-conquer strategy, parallel processing connects multiples processors with high-speed networks and enables simultaneous analysis. HPC using the parallel computing has represented supercomputing over the two decades and it is still effective in many fields, despite GPU has come up; because it allows multiple-GPU to solve problems using the parallel computing platform. By employing CUDA and parallel computing technology, all samadii products enables parallel computing analysis in high-level.
A physical system in which different physical phenomena are compounded is referred to as a multiphysics system, and it is caused by the organic interaction of each physical system. There are two aspects of effort to create the software to analyze multiphysics phenomena. The first is to construct each governing equation for different physics and understand the mechanisms by which each governing equation interacts with each other. And the second is to implement such a mechanism according to the accuracy and calculation range required to represent the actual phenomenon the same. Successful and continuous achievement of this process requires a high degree of physics and mathematical experience. Our team is experts in CUDA and HPC, as well as in mathematical formulations of various governing equations of various physics that can be explained by Newtonian physics and we have developed multi-physics analysis software and provide related technology services.
The speed of computing performance can be increased significantly by hardware development, but the number of processing elements is limited. Thus, fast Algorithm is applied to enhance computing performance along with hardware. Fast Algorithm affects the performance of numerical simulation software; it can improve the computing performance. All samadii products embodies more cost-effective and efficient analysis with employing fast algorithm and parallel computing, in order to maximize its performance and minimize computational time.
Cloud service system is not a conventional method of building a physical computing system infrastructure directly operated by users to use Metariver Technology's engineering analysis software.
Metariver Cloud Service uses a cloud computing system, and when a user requests to create a service on a GPU server, Metariver Technology's engineering software can be used on the GPU server.
Common ways to use Metariver Cloud Service are as follows.
-*/ corporation + administrator registration
1. Register corporation + administrator.
2. When corporation + administrator account is registered, log in with the created administrator account, contract software for service use, and acquire software license.
-*/ Service use of user account
3. Create a user account. The user requests a member from the administrator simultaneously registration or after creation.
4. If the corporation + administrator account accepts the user's use, the user can use the contracted software.
5. If there is no corporation + administrator to which the user belongs, it is classified as an independent corporation. For these users, please contact Metariver Technology.
-*/ Service Menual
The Service Manual of Metariver Cloud Service is provided below. please use the service by referring to the documents.
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Metariver Cloud Service Manual(Company).pdf
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Metariver Cloud Service Manual(User).pdf
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