What are the challenges of exascale computing?
Perhaps the most significant challenge for exascale computing is bounding the energy required for computation. DOE/NNSA has set a power budget for an exascale platform at roughly 20 megawatts. This is a typical power load for a modern large data center.
What is the meaning of exascale computing?
a billion billion calculations per second
Exascale computing refers to computing systems capable of at least one exaflop or a billion billion calculations per second (1018). That is 50 times faster than the most powerful supercomputers being used today and represents a thousand-fold increase over the first petascale computer that came into operation in 2008.
Why do we need exascale computing?
Exascale systems promise to usher in a new era of computing where massive supercomputers will be used not only for traditional simulations of large scientific problems but also to process the vast amount of data that is being produced especially from new types of ubiquitous devices.
Why exascale computing is important?
Exascale computers provide unprecedented processing power and memory so that researchers can perform very large-scale simulations. The ECP is also investing in 24 application areas that are critical to the DOE mission in basic sciences, applied energy and national security.
How does exascale computing works?
Exascale computing refers to computing systems capable of calculating at least 1018 floating point operations per second (1 exaFLOPS). Exascale also reaches the estimated processing power of the human brain at the neural level, a target of the Human Brain Project.
How much computing power does the human brain have?
But a rough estimate based on the number of digital electrical pulses (action potentials) that the approximately 1011 neurons in a human brain send to one another per second via approximately 1014 contacts (synapses) suggests that an adult human brain carries out about one thousand trillion (1015) logical operations …
What is exascale data center?
The core of this exascale data center will be a radically efficient, flexibly managed computing substrate. From the start, this radical rethink of the data center incorporates efficiency, management, sharing and dynamism in the design of the system, leading to better economy, scalability and manageability.
How much computing power does Google have?
According to Google, their global data center operation electrical power ranges between 500 and 681 megawatts. The combined processing power of these servers might have reached from 20 to 100 petaflops in 2008.
How much computing power does AlphaGo?
The version of AlphaGo playing against Lee used a similar amount of computing power as was used in the Fan Hui match. The Economist reported that it used 1,920 CPUs and 280 GPUs.