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China’s National Supercomputer Centre announced that the prototype for its exascale supercomputer will be completed later this year, ahead of its initial date in 2018. The successful performance and commercialization of the computer is presumed to drastically improve existing 3D printing or additive manufacturing methods.

Over the past few years, the Chinese government and companies in the private sector have been increasingly focused on the development of supercomputers. The Tianhe supercomputer series which feature Tianhe-1 and Tianhe-2, still remains as the most powerful supercomputer series, below the Sunway TaihuLight which was released in mid-2016.

Continue reading “World’s First Exascale Supercomputer to Enhance 3D Printing Capabilities” »

Particle physics is an interesting and complicated field of study. Its theoretical framework, the Standard Model, was developed during the second half of the twentieth century and it opened he possibility to explaining the behavior of the basic blocks of the Universe. It also classified all the particles, from the electron (discovered in 1897) to the Higgs Boson (found in 2012). It is not pretentious to claim that it is one of the most successful theories in Science.

Unfortunately, the Standard Model is also a very difficult theory to handle. By using an analytic approach many problems cannot be solved and computational methods require a huge computational power. Most of the simulations about this theory are performed in supercomputers and they have severe limitations. For instance, the mass of the proton can be calculated by the use of a technique called Lattice Quantum Chromodynamics (lattice QCD), but even using a supercomputer of the Blue Gene type the error was around 2% . This is a huge achievement that shows the utility of the theory, but it is also a signal about the necessity of developing new numerical tools to handle this kind of calculations.

One potential solution to this problem is to use quantum systems in order to perform the simulations. This idea is at the core of the field of quantum computing and it was first proposed by one of the pioneers in the study of particle physics, Richard Feynman . Feynman’s idea is easy to explain. Quantum systems are very difficult to simulate by the use of ordinary classical computers but by using quantum systems we can simulate different quantum systems. If we have a quantum system that we cannot control but we can mimic its dynamics to a friendly quantum system we have solved the problem. We can just manipulate the second system and infer the results to the first one.

Continue reading “Simulating particle physics in a quantum computer” »

If you’ve never heard of an exascale computer before — known unofficially as a super-supercomputer — don’t worry, it doesn’t even exist yet.

But 2017 could be the year that all changes, because China just announced that its world-first exascale supercomputer prototype is due for completion in the coming months. If this thing works as it should, it will be the fastest computer in the world, capable of performing 1 quintillion (a billion billion) calculations per second.

The country’s National Supercomputer Centre announced this week that completion of their prototype is way ahead of schedule, and is expected to be completed in 2017, rather than 2018, as originally predicted.

Continue reading “China Says Its World-First ‘Exascale’ Supercomputer Is Almost Complete” »

Back in June, China debuted the world’s fastest supercomputer, the Sunway TaihuLight (pictured), with a Linpack benchmark result of 93 petaflop/s. That machine contains 40,960 locally developed ShenWei processors, each with 260 cores and roughly comparable with Intel’s Knight’s Landing Xeon Phi CPU. China also developed a 136GB/sec memory controller and custom interconnect that delivers 16GB/sec of peak bandwidth between nodes.

Now China is working on a prototype exascale (1,000-petaflop) system that it aims to complete by the end of this year, according to state media. An exascale computer is capable of a quintillion calculations per second, and could deliver vast dividends in deep learning and big data across a variety of disciplines as varied as nuclear test research, code breaking, and weather forecasting.

“A complete computing system of the exascale supercomputer and its applications can only be expected in 2020, and will be 200 times more powerful than the country’s first petaflop computer Tianhe-1, recognized as the world’s fastest in 2010,” said Zhang Ting, an application engineer at Tianjin’s National Super Computer Center, to Xinhua news agency (via AFP).

Continue reading “China, already dominant in supercomputers, shoots for an exascale prototype in 2017” »

China plans to develop a prototype exascale computer by the end of the year, state media said on Tuesday, as it seeks to win a global race to be the first to build a machine capable of a billion, billion calculations per second.

If successful, the achievement would cement its place as a leading power in the world of supercomputing.

The Asian giant built the world’s fastest supercomputer, the Sunway TaihuLight machine, in June last year, which was twice as fast as the previous number one.

Some researchers are predicting that the market for “universal” quantum computers that do everything a supercomputer can do plus everything a supercomputer can not do — in a chip that fits in the palm of your hand — are on the verge of emerging. The rise of quantum computing may be as important a shift as John von Neumann’s stored program-and-data concept.

Here are some of the scientists and breakthroughs that will enable this shift.

Robert Schoelkopf (Yale, Quantum Circuits inc) claims a number of “world’s firsts,” the latest of which is the longest “coherence time” for a quantum superposition.

Continue reading “Universal Quantum computers could replace supercomputers within 5 years” »

In 1965, Intel co-founder Gordon Moore published a remarkably prescient paper which observed that the number of transistors on an integrated circuit was doubling every two years and predicted that this pace would lead to computers becoming embedded in homes, cars and communication systems.

That simple idea, known today as Moore’s Law, has helped power the digital revolution. As computing performance has become exponentially cheaper and more robust, we have been able to do a lot more with it. Even a basic smartphone today is more powerful than the supercomputers of past generations.

Yet the law has been fraying for years and experts predict that it will soon reach its limits. However, I spoke to Bernie Meyerson, IBM’s Chief Innovation Officer, and he feels strongly that the end of Moore’s Law doesn’t mean the end of progress. Not by a long shot. What we’ll see though is a shift in emphasis from the microchip to the system as a whole.

Continue reading “Moore’s Law Will Soon End, but Progress Doesn’t Have to” »

A new supercomputer has been deployed at the Jülich Supercomputing Center (JSC) in Germany. Called QPACE3, the new 447 Teraflop machine is named for “QCD Parallel Computing on the Cell.”

QPACE3 is being used by the University of Regensburg for a joint research project with the University of Wuppertal and the Jülich Supercomputing Center for numerical simulations of quantum chromodynamics (QCD), which is one of the fundamental theories of elementary particle physics. Such simulations serve, among other things, to understand the state of the universe shortly after the Big Bang, for which a very high computing power is required.

The demand for high performance computers to solve complex applications has risen exponentially, but unfortunately so has their consumption of power. Many supercomputers require more than a megawatt of electricity to operate and annual electricity costs can easily run into millions of Euros. The energy supply is therefore a significant part of the operating costs of a data center. According to recent analyst studies, this represents the second-largest factor in addition to personnel and maintenance costs. The upcoming boom with (3D) video streaming, augmented reality, image recognition and artificial intelligence is driving up the demand for data center capabilities, thereby placing new challenges in the power supply sector.

Zura Kakushadze is lead author of this peer reviewed paper published by the Free University of Tbilisi. It describes an information paradox that arises in a materialist’s description of the Universe—if we assume that the Universe is 100% quantum. The observation of the paradox stems from an interdisciplinary thought process whereby the Universe can be viewed as a “quantum computer”.

The presentation is intentionally nontechnical to make it accessible to a wide a readership.