High Performance Computing, Big Data, and Cloud Computing

Author(s):  
Jose-Luis González-Sánchez ◽  
Jesús Calle-Cancho ◽  
David Cortés-Polo ◽  
Luis-Ignacio Jiménez-Gil ◽  
Alfonso López-Rourich

If the fourth industrial revolution should be the revolution of values, where people, more than ever, are at the center of everything, it may be the technology that gives us the ability to place ourselves in that privileged position. However, there is consensus that the fourth industrial revolution is not defined by a set of emerging technologies in themselves, but by the transition to new systems that are built on the infrastructure of the digital revolution that we have already lived. The speed of the advances experienced in the last decade, along with the scope and impact of these in society, have allowed us to understand that we have reached a new technological revolution. The convergence, that is the real revolution, not only of digital technologies but also physical and biological will allow humanity to face the great challenges that have been marked for decades or centuries.

2018 ◽  
Vol 88 ◽  
pp. 693-695 ◽  
Author(s):  
Yulei Wu ◽  
Yang Xiang ◽  
Jingguo Ge ◽  
Peter Muller

2017 ◽  
pp. 777-806 ◽  
Author(s):  
H. Anzt ◽  
J. Dongarra ◽  
M. Gates ◽  
J. Kurzak ◽  
P. Luszczek ◽  
...  

Author(s):  
Adrian Jackson ◽  
Michèle Weiland

This chapter describes experiences using Cloud infrastructures for scientific computing, both for serial and parallel computing. Amazon’s High Performance Computing (HPC) Cloud computing resources were compared to traditional HPC resources to quantify performance as well as assessing the complexity and cost of using the Cloud. Furthermore, a shared Cloud infrastructure is compared to standard desktop resources for scientific simulations. Whilst this is only a small scale evaluation these Cloud offerings, it does allow some conclusions to be drawn, particularly that the Cloud can currently not match the parallel performance of dedicated HPC machines for large scale parallel programs but can match the serial performance of standard computing resources for serial and small scale parallel programs. Also, the shared Cloud infrastructure cannot match dedicated computing resources for low level benchmarks, although for an actual scientific code, performance is comparable.


Green computing is a contemporary research topic to address climate and energy challenges. In this chapter, the authors envision the duality of green computing with technological trends in other fields of computing such as High Performance Computing (HPC) and cloud computing on one hand and economy and business on the other hand. For instance, in order to provide electricity for large-scale cloud infrastructures and to reach exascale computing, we need huge amounts of energy. Thus, green computing is a challenge for the future of cloud computing and HPC. Alternatively, clouds and HPC provide solutions for green computing and climate change. In this chapter, the authors discuss this proposition by looking at the technology in detail.


Author(s):  
Atta ur Rehman Khan ◽  
Abdul Nasir Khan

Mobile devices are gaining high popularity due to support for a wide range of applications. However, the mobile devices are resource constrained and many applications require high resources. To cater to this issue, the researchers envision usage of mobile cloud computing technology which offers high performance computing, execution of resource intensive applications, and energy efficiency. This chapter highlights importance of mobile devices, high performance applications, and the computing challenges of mobile devices. It also provides a brief introduction to mobile cloud computing technology, its architecture, types of mobile applications, computation offloading process, effective offloading challenges, and high performance computing application on mobile devises that are enabled by mobile cloud computing technology.


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