Exascale computing refers to computing systems capable of at least one exaFLOPS. Such capacity represents a thousandfold increase over the first petascale computer that came into operation in 2008. (One exaflop is a thousand petaflops or a quintillion, 1018, floating point operations per second.)
At a supercomputing conference in 2009, Computerworld projected exascale implementation by 2018. Exascale computing would be considered as a significant achievement in computer engineering, for it is believed to be the order of processing power of the human brain at the neural level (functional might be lower). It is, for instance, the target power of the Human Brain Project.
The Exascale Challenge - to build a supercomputer that can deliver an exaflop - a million million million calculations per second. High-Performance Computing (HPC) uses very large-scale computers to solve some of the world biggest computational problems. HPC is, without doubt, a key enabling technology for many technologically advanced nations in the 21st century. Many countries worldwide are investing in In Europe, the HPC community which has collaborated for more than two decades has cemented this collaboration in the past 5 years with the establishment of the DEISA project and now the PRACE Research Infrastructure. In January 2012 Intel purchased the InfiniBand product line from QLogic for the US $125 million in order to fulfill its promise of developing exascale technology by 2018. The initiative has been endorsed by two US agencies: the Office of Science and the National Nuclear Security Administration, both of which are part of the US Department of Energy.
Uses
The technology would be useful in various computation-intensive research areas, including basic research, engineering, earth science, biology, materials science, energy issues, and national security.
Investment in Exascale
The United States has put aside $126 million for exascale computing beginning in 2012. Three projects aiming at developing technologies and software for exascale computing have been started in 2011 within the European Union. The CRESTA project (Collaborative Research into Exascale Systemware, Tools and Applications), the DEEP project (Dynamical ExaScale Entry Platform), and the project Mont-Blanc. In Japan, the RIKEN Advanced Institute for Computational Science is planning an exascale system for 2020, it will consume less than 30 megawatts. In June 2014, the stagnation of the Top500 supercomputer list had observers question the possibility of exascale systems by 2020. India Aims To Take The World Fastest Supercomputer Crown By 2017. A plan submitted to the government asks for a nearly $900 million investment that would produce an exaflop-rated machine 61 times faster than the world current fastest supercomputer.
At a supercomputing conference in 2009, Computerworld projected exascale implementation by 2018. Exascale computing would be considered as a significant achievement in computer engineering, for it is believed to be the order of processing power of the human brain at the neural level (functional might be lower). It is, for instance, the target power of the Human Brain Project.
The Exascale Challenge - to build a supercomputer that can deliver an exaflop - a million million million calculations per second. High-Performance Computing (HPC) uses very large-scale computers to solve some of the world biggest computational problems. HPC is, without doubt, a key enabling technology for many technologically advanced nations in the 21st century. Many countries worldwide are investing in In Europe, the HPC community which has collaborated for more than two decades has cemented this collaboration in the past 5 years with the establishment of the DEISA project and now the PRACE Research Infrastructure. In January 2012 Intel purchased the InfiniBand product line from QLogic for the US $125 million in order to fulfill its promise of developing exascale technology by 2018. The initiative has been endorsed by two US agencies: the Office of Science and the National Nuclear Security Administration, both of which are part of the US Department of Energy.
Uses
The technology would be useful in various computation-intensive research areas, including basic research, engineering, earth science, biology, materials science, energy issues, and national security.
Investment in Exascale
The United States has put aside $126 million for exascale computing beginning in 2012. Three projects aiming at developing technologies and software for exascale computing have been started in 2011 within the European Union. The CRESTA project (Collaborative Research into Exascale Systemware, Tools and Applications), the DEEP project (Dynamical ExaScale Entry Platform), and the project Mont-Blanc. In Japan, the RIKEN Advanced Institute for Computational Science is planning an exascale system for 2020, it will consume less than 30 megawatts. In June 2014, the stagnation of the Top500 supercomputer list had observers question the possibility of exascale systems by 2020. India Aims To Take The World Fastest Supercomputer Crown By 2017. A plan submitted to the government asks for a nearly $900 million investment that would produce an exaflop-rated machine 61 times faster than the world current fastest supercomputer.
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