The future of high performance computers in science and engineering

1989 ◽  
Vol 32 (9) ◽  
pp. 1091-1101 ◽  
Author(s):  
C. Gordon Bell
1995 ◽  
Vol 7 (6) ◽  
pp. 421-421
Author(s):  
Akihito Sano ◽  

The field of robotics and mechatronics can benefit greatly from the development of its peripheral elements. At the time when the author began studies on legged locomotion robots in 1984, many researchers in the fields of mechanical engineering, control engineering, and electrical engineering became interested in this subject, and it was becoming possible to carry out not only the theoretical discussions on the basis of simulations but also the experimental discussions using actual machines. This is because, at that time, computers were rapidly increasing their performance and were becoming relatively inexpensive so that they were being introduced into work even at research laboratories of universities. Needless to say, without such development of computer technology, the advances not only in the legged locomotion robots but also in a number of mechatronic devices would have been hampered. For us who have gotten hold of high-performance computers, one of the present overriding issues is an appearance of new high-performance actuators. Almost every legged locomotion robot uses either an electric motor or a hydraulic actuator. However, its energy sources are placed outside the robot, and these actuators themselves have not really been miniaturized to any remarkable extent up to now. Computer control is indispensable for mechatronic devices that are equipped with actuators. At present, various control theories are being proposed in an effort to raise control performance by compensating restrictions on hardware (such as power-weight ratio, responsiveness, nonlinearity, etc.) as many as possible. It is necessary to continue such control-theoretic discussions in the future as well. On the other hand, however, rapid progress in hardware involving actuators and sensors may have a possibility of raising such performance drastically all at once. In the future, it is hoped that researchers are not well versed in the robotics or mechatronics may participate to develop the actuators based on new principles. The fact that an electro-rheological fluid may be used as actuators is attracting attention, for example. In actually developing devices incorporating with the electro-rheological fluid, various experimental data must be fed back skillfully to the chemists as developers of the fluids. In other words, the cooperation of both sides is extremely important. The author feels through his own studies the importance of developing high-performance actuators. In addition, since the debugging (improvement) of hardware (actuators) takes a longer time than the debugging of software, a patient and steady R&D is considered necessary. In this special issue, Prof. Takamori (Kobe University) was requested to provide a general overview as an expert engaged in studies of the actuators over a long period of time; he presented an explanation on what are new, hopeful actuators and also on the latest achievements that are considered promising in the future, now that the 21st century is so close. Other researchers were kind enough to introduce their very creative and advanced studies as well.


Author(s):  
Jack Dongarra ◽  
Laura Grigori ◽  
Nicholas J. Higham

A number of features of today’s high-performance computers make it challenging to exploit these machines fully for computational science. These include increasing core counts but stagnant clock frequencies; the high cost of data movement; use of accelerators (GPUs, FPGAs, coprocessors), making architectures increasingly heterogeneous; and multi- ple precisions of floating-point arithmetic, including half-precision. Moreover, as well as maximizing speed and accuracy, minimizing energy consumption is an important criterion. New generations of algorithms are needed to tackle these challenges. We discuss some approaches that we can take to develop numerical algorithms for high-performance computational science, with a view to exploiting the next generation of supercomputers. This article is part of a discussion meeting issue ‘Numerical algorithms for high-performance computational science’.


Author(s):  
Kenichi Nishikawa ◽  
Ioana Duţan ◽  
Christoph Köhn ◽  
Yosuke Mizuno

AbstractThe Particle-In-Cell (PIC) method has been developed by Oscar Buneman, Charles Birdsall, Roger W. Hockney, and John Dawson in the 1950s and, with the advances of computing power, has been further developed for several fields such as astrophysical, magnetospheric as well as solar plasmas and recently also for atmospheric and laser-plasma physics. Currently more than 15 semi-public PIC codes are available which we discuss in this review. Its applications have grown extensively with increasing computing power available on high performance computing facilities around the world. These systems allow the study of various topics of astrophysical plasmas, such as magnetic reconnection, pulsars and black hole magnetosphere, non-relativistic and relativistic shocks, relativistic jets, and laser-plasma physics. We review a plethora of astrophysical phenomena such as relativistic jets, instabilities, magnetic reconnection, pulsars, as well as PIC simulations of laser-plasma physics (until 2021) emphasizing the physics involved in the simulations. Finally, we give an outlook of the future simulations of jets associated to neutron stars, black holes and their merging and discuss the future of PIC simulations in the light of petascale and exascale computing.


2021 ◽  
Author(s):  
Arunpandiyan Surulinathan ◽  
Raja Annamalai ◽  
Vinoth S ◽  
Alagarsamy Pandikumar ◽  
Ayyaswamy Arivarasan

Developing high-performance, robust, and economic supercapacitor is a promising path to the future electric vehicle’s technology. Herein, a hierarchically porous CeO2 micro rice was attached on the Ni foam surface...


1992 ◽  
Vol 10 (6) ◽  
pp. 632-632
Author(s):  
Stuart M. Dambrot

PAMM ◽  
2015 ◽  
Vol 15 (1) ◽  
pp. 495-496 ◽  
Author(s):  
Lennart Schneiders ◽  
Jerry H. Grimmen ◽  
Matthias Meinke ◽  
Wolfgang Schröder

2012 ◽  
Vol 629 ◽  
pp. 704-710
Author(s):  
Xi Ying Liu ◽  
Tong Gui Bai ◽  
Tao Zhang

Analyzing problems represented by partial differential equations numerically with modern high performance computers has become an important approach in research of earth science. In the work, a Sea Ice numerical Model under JASMIN (J parallel Adaptive Structured Mesh applications INfrastructure) (SIMJ for brevity) including thermodynamic and dynamic processes is implemented and an numerical experiment of 20-year integration with SIMJ has been performed. It’s found that the model can reproduce seasonal variation of Arctic sea ice well and implementation of parallel computing is flexible and easy. The ratio of time consumption is 1:1.16:1.48:2.45 with 8, 4, 2, and 1 core(s) respectively for one year integration on mobile workstation (Thinkpad W510) with Red Hat Enterprise Linux 5.4 and Portland group’s pgf90 9.0-1.


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