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Primeur weekly 2017-12-18

Exascale supercomputing

Mont-Blanc 2020 project will pave the way to a European scalable, modular and power efficient High Performance Computing processor ...

A supercomputer will discover our future medicines ...

Quantum computing

Jülich Supercomputing Centre to achieve world record: Quantum computer with 46 qubits simulated ...

DENSO and Toyota Tsusho to conduct a test applying a quantum computer to analyze IoT data with a commercial application ...

IBM announces collaboration with Fortune 500 companies, academic institutions and national research labs to accelerate quantum computing ...

Complete design of a silicon quantum computer chip unveiled ...

Error-free into the quantum computer age ...

Quantum memory with record-breaking capacity based on laser-cooled atoms ...

Physicists from Konstanz, Princeton and Maryland create a stable quantum gate as a basic element for the quantum computer ...

Physicists say rare earth metals could help quantum computers communicate ...

Focus on Europe

Lenovo and Intel to deliver powerful, energy-efficient SuperMUC-NG, next generation supercomputer at Leibniz Supercomputing Centre ...

North Rhine-Westphalia supports expansion of German national supercomputer infrastructure ...

ISC 2018 and PASC18 Conferences to announce partnership ...

Hardware

Intersect360 Research invites to participate in tenth HPC budget map survey ...

BP supercomputer now world's most powerful for commercial research ...

MareNostrum 4, chosen as the most beautiful data centre in the world ...

NCI welcomes $70 million investment in HPC capability ...

Applications

Physicists win supercomputing time to study fusion and the cosmos ...

Artificial intelligence helps accelerate progress toward efficient fusion reactions ...

Johns Hopkins scientists chart how brain signals connect to neurons ...

Artificial Intelligence and supercomputers to help alleviate urban traffic problems ...

ESnet's Petascale DTN project speeds up data transfers between leading HPC centres ...

A computer system needing less time and memory to simulate mechanical systems ...

Drug discovery could accelerate hugely with Machine Learning ...

The Cloud

Murex to offer MX.3 risk, trading and post-trade solutions on the AWS Cloud ...

Fujitsu develops WAN acceleration technology utilizing FPGA accelerators ...

Meituan.com selects Mellanox interconnect solutions to accelerate its artificial intelligence, Big Data and Cloud data centres ...

Mellanox interconnect solutions accelerate Tencent Cloud high-performance computing and artificial intelligence infrastructure ...

A computer system needing less time and memory to simulate mechanical systems

11 Dec 2017 Navarre - At the NUP/UPNA-University of Navarre, the industrial engineer Aitor Plaza-Puértolas has developed a set of techniques and algorithms to simulate the functioning of mechanical systems, such as vehicles, trains, robots or wind turbines with the advantage that the computer needs less time and memory resources to process the information. This piece of research opens up the door to the use of computers with less computing power.

Simulating the functioning of a mechanism requires programming languages which are used to calculate the dynamic equations of mechanics. One of the main limitations of this programming is the excessive run time the computer needs to generate these equations, even for simple problems. In this research they developed a set of techniques and algorithms that can be used with any formulation and with any type of coordinates and whose results are practically the same as those obtained with the best of the formulations.

Besides achieving optimum quality in the code generated, the main advantage of these techniques is that the equations obtained are optimized. "Since they are optimum, the computer takes less time to 'digest' them in order to subsequently work with them, and, therefore, the door is opened up for using computers with less computing power", stated Aitor Plaza.

Another of the contributions of the research has been to eliminate the trigonometric simplification process to generate optimum symbolic equations. "The equations of mechanical systems are, in general, capable of being simplified", explained the researcher. "This simplification helps to reduce the size of the equations, but carrying this out involves extensive computing time. The technique proposed obtains the trigonometrically simplified equations directly without having to carry out this specification explicitly, which enables a piece of optimum code that is faster and with fewer memory resources to be generated."

The engineer had the chance to put his proposal into practice in a collaboration project between the Applied Mechanical and Computational Engineering research group-IMAC of the NUP/UPNA, which he belongs to, and a company in the railway sector. A part of this project was to design the computational model of a locomotive to be used in various virtual experiments. "As it is a highly complex model, the computer took a long time to create it: about two and a half hours. That was partly because the model was developed using general purpose commercial software for symbolic calculations. As it was general and did not focus on mechanical models, it did not carry out the operations in the best way possible", he pointed out.

After applying the set of techniques and algorithms proposed in the research, the time to generate the equations was cut to ten minutes and the number of mathematical operations needed for the computer to "digest" this model was 0.3% with respect to the number of operations that it would need if it were generated by a piece of general software. What is more, it was not necessary to resort to general purpose commercial software, the use of which is restricted to those who purchase a licence.

This technique for obtaining equations can be applied to a whole range of mechanical systems. "Right now, for example, we are working on the model of a wind turbine. In the same way, we have produced models for cars, robots and vehicle suspensions in addition to other models we use for our research and even for teaching purposes", he stated.

Source: Elhuyar Fundazioa

Back to Table of contents

Primeur weekly 2017-12-18

Exascale supercomputing

Mont-Blanc 2020 project will pave the way to a European scalable, modular and power efficient High Performance Computing processor ...

A supercomputer will discover our future medicines ...

Quantum computing

Jülich Supercomputing Centre to achieve world record: Quantum computer with 46 qubits simulated ...

DENSO and Toyota Tsusho to conduct a test applying a quantum computer to analyze IoT data with a commercial application ...

IBM announces collaboration with Fortune 500 companies, academic institutions and national research labs to accelerate quantum computing ...

Complete design of a silicon quantum computer chip unveiled ...

Error-free into the quantum computer age ...

Quantum memory with record-breaking capacity based on laser-cooled atoms ...

Physicists from Konstanz, Princeton and Maryland create a stable quantum gate as a basic element for the quantum computer ...

Physicists say rare earth metals could help quantum computers communicate ...

Focus on Europe

Lenovo and Intel to deliver powerful, energy-efficient SuperMUC-NG, next generation supercomputer at Leibniz Supercomputing Centre ...

North Rhine-Westphalia supports expansion of German national supercomputer infrastructure ...

ISC 2018 and PASC18 Conferences to announce partnership ...

Hardware

Intersect360 Research invites to participate in tenth HPC budget map survey ...

BP supercomputer now world's most powerful for commercial research ...

MareNostrum 4, chosen as the most beautiful data centre in the world ...

NCI welcomes $70 million investment in HPC capability ...

Applications

Physicists win supercomputing time to study fusion and the cosmos ...

Artificial intelligence helps accelerate progress toward efficient fusion reactions ...

Johns Hopkins scientists chart how brain signals connect to neurons ...

Artificial Intelligence and supercomputers to help alleviate urban traffic problems ...

ESnet's Petascale DTN project speeds up data transfers between leading HPC centres ...

A computer system needing less time and memory to simulate mechanical systems ...

Drug discovery could accelerate hugely with Machine Learning ...

The Cloud

Murex to offer MX.3 risk, trading and post-trade solutions on the AWS Cloud ...

Fujitsu develops WAN acceleration technology utilizing FPGA accelerators ...

Meituan.com selects Mellanox interconnect solutions to accelerate its artificial intelligence, Big Data and Cloud data centres ...

Mellanox interconnect solutions accelerate Tencent Cloud high-performance computing and artificial intelligence infrastructure ...