However, as computers become larger in size and massively parallel in nature, FFT requires enormous amounts Computational Materials Science Initiative of communication time, and as a result this has become a bottleneck for massively parallel computing.
So what led Dr. Ishimura to decide to tackle the development of a large-scale parallel quantum chemistry calculation program with such enormous potential all by himself?
High performance and large scale parallel numerical algorithms FFT-E is an open-source high performance parallel FFT library developed in our division with automatic tuning feature which isavailable from PC clusters to MPP systems.
Motivation for applying for the positionThe use of large-scale parallel computing will be indispensable for progress in research from this point on. So I would like to participate inthe supercomputer project.
As well as improving the performance of devices by miniaturizing and architecture improvement, its computing power has dramatically improved through large-scale parallelization and software optimization.
Such a first-principles calculation of the microstructure is performed using OpenMX[1] by means of a localized basis suitable for massively parallel computing.
It levies a powerful new tool built at the nexus of big data, massively parallel computing and cognitive systems that can analyze breach attempt and success data in near real-time to assist security specialists in identifying credible threats.
A rolling contact analysis model able to deal with wheel/ rail plastic deformation was therefore built, using a large-scale parallel FEM structural analysis program(FrontISTR). Figure 1 shows the equivalent stress distribution obtained using a 2-wheel 2-axel wheelset model.
Big data is difficult to work with using most relational database management systems and desktop statistics and visualization packages, requiring instead“massively parallel software running on tens, hundreds, or even thousands of servers”.
The achievements provide the new technologies that follow; Large-scale parallel symbol processing The parallel logic language, KL1, enables us to efficiently and freely pro- duce parallel programs of knowledge or symbol processing application problems with irregular computational structures without concern for de- tailed system restrictions.
There is increasing interest in massively parallel neural nets, genetic algorithms, and other forms of chaotic or complexity theory computing, although most computer computations are still done using conventional sequential processing, albeit with some limited parallel processing.
The times have changed, and now we have entered the era of large-scale parallel computing. But the question of what is the fastest materials calculation algorithm for the distributed memory parallel computing model is still a universal one that is not affected by the specifics of the hardware.
We will continue to develop the CMSI Kobe Branch as a new testing ground for integrating fields through large-scale parallel computing by promoting exchange with neighboring researchers in computational science, including the AICS research teams, and utilizing the nationwide CMSI human resource network in computational materials science.
As a consequence of successful evaluation results, it has been proved that the project has established the basic technologies for building large-scale parallel knowledge processing systems which could not be attained by simple extension of any conventional sequential computer technologies oriented to numerical computation.
In actual large-scale parallel calculations on 100,000 CPU cores of the K computer using SMASH, a 50,000 times increase in speed and execution efficiency of 13% were achieved in B3LYP energy calculations for a bilayer graphene molecule(C150H30)2 consisting of 360 atoms Fig.2.
We will conduct researches for programming models for future high-performance computing, including programming models for large-scale parallel many-core systems, post-K supercomputer"Fugaku.
大規模並列コンピューティング。
Massively parallel computing.
代わりに、大規模並列処理に基づくアプローチが必要になります。
Instead, an approach based on large-scale parallel processing is necessary.
L系ノードとは、大規模並列プログラム実行用のノードです。
L-system nodes are used for executing large scale parallel programs.
A01-2:大規模並列環境における数値計算アルゴリズム。
A01-2: Numerical calculation algorithms in massive parallel computing environments.
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