Exascale computing refers to computing systems capable of at least one exaFLOPS, or a billion billion calculations per second. 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. This proved accurate, as Oak Ridge National Laboratory performed a 1.8×1018 flop calculation on the Summit OLCF-4 Supercomputer while analyzing genomic information in 2018. They are Gordon Bell Finalists at Supercomputing 2018.
Exascale computing would be considered as a significant achievement in computer engineering, for it is believed[by whom?] to be the order of processing power of the human brain at neural level(functional might be lower). It is, for instance, the target power of the Human Brain Project.
As of June 2018, China has two of the four fastest supercomputers in the world. China's first exascale supercomputer will enter service by 2020 according to the head of the school of computing at the National University of Defense Technology (NUDT). According to the national plan for the next generation of high performance computers, China will develop an exascale computer during the 13th Five-Year-Plan period (2016–2020). The government of Tianjin Binhai New Area, NUDT and the National Supercomputing Center in Tianjin are working on the project. The exascale supercomputer is planned to be named Tianhe-3.
In 2008, two United States of America governmental organisations within the US Department of Energy, the Office of Science and the National Nuclear Security Administration, provided funding to the Institute for Advanced Architectures for the development of an exascale supercomputer; Sandia National Laboratory and the Oak Ridge National Laboratory were also to collaborate on exascale designs. The technology was expected to be applied in various computation-intensive research areas, including basic research, engineering, earth science, biology, materials science, energy issues, and national security.
By 2012 the United States had allotted $126 million for exascale computing development.
In February 2013 the Intelligence Advanced Research Projects Activity started Cryogenic Computer Complexity (C3) program which envisions a new generation of superconducting supercomputers that operate at exascale speeds based on Superconducting logic. In December 2014 it announced a multi-year contract with International Business Machines, Raytheon BBN Technologies and Northrop Grumman to develop the technologies for C3 program.
On 29 July 2015, President Obama signed an executive order creating a National Strategic Computing Initiative calling for the accelerated development of an exascale system and funding research into post-semiconductor computing. The Exascale Computing Project hopes to build an exascale computer by 2021.
Taiwan, as the largest global center for the research and development of industrial and electronics technology as well as the center of manufacturing for at least 80% of all computer hardware technology in the world, has initiated extensive efforts by Taiwan's various scientific organizations, both government and private industries, to design and build exascale supercomputers, most recently in collaboration with Taiwan's Ministry of Science and Technology and Nvidia Corporation, with the focus on complex artificial intelligence applications in addition to modeling and scientific research for the advancement of simulating weather patterns, Taiwanese nuclear weapons testing, physics, chemistry and biomedical science among many other potential applications of such powerful exascale supercomputers. In June 2017, Taiwan's National Center for High-Performance Computing initiated the effort towards designing and building the first Taiwanese exascale supercomputer by funding construction of a new intermediary supercomputer based on a full technology transfer from Fujitsu corporation of Japan, which is currently building the fastest and most powerful A.I. based supercomputer in Japan. Additionally, numerous other independent Taiwanese efforts have been made in Taiwan with the focus on the rapid development of exascale supercomputing technology, such as the Taiwanese Foxconn Corporation which recently designed and built the largest and fastest supercomputer in all of Taiwan. This new Foxconn supercomputer is designed to serve as a stepping stone in research and development towards the design and building of a state of the art Taiwanese exascale supercomputer.
In 2011 several projects aiming at developing technologies and software for exascale computing were started in the EU. The CRESTA project (Collaborative Research into Exascale Systemware, Tools and Applications), the DEEP project (Dynamical ExaScale Entry Platform), and the project Mont-Blanc. A major European project based on exascale transition is the MaX (Materials at the Exascale) project.
In 2015 the Scalable, Energy-Efficient, Resilient and Transparent Software Adaptation (SERT) project, a major research project between the University of Manchester and the STFC Daresbury Laboratory in Cheshire, was awarded c. £1million from the UK’s Engineering and Physical Sciences Research Council. The SERT project was due to start in March 2015. It will be funded by EPSRC under the Software for the Future II programme, and the project will partner with the Numerical Analysis Group (NAG), Cluster Vision and the Science and Technology Facilities Council (STFC).
In Japan, in 2013, the RIKEN Advanced Institute for Computational Science began planning an exascale system for 2020, intended to consume less than 30 megawatts. In 2014 Fujitsu was awarded a contract by RIKEN to develop a next-generation supercomputer to succeed the K computer. In 2015, Fujitsu announced at the International Supercomputing Conference that this supercomputer will use processors implementing the ARMv8 architecture with extensions it was co-designing with ARM Limited.
In 2012 the Indian Government has proposed to commit 2.5 billion USD to supercomputing research during the 12th five-year plan period (2012–2017). The project will be handled by Indian Institute of Science (IISc), Bangalore. Additionally, it was later revealed that India plans to develop a supercomputer with processing power in the exaflop range. It will be developed by C-DAC within the subsequent 5 years of approval.
It has been recognized that enabling applications to fully exploit capabilities of Exascale computing systems is not straightforward. In June 2014, the stagnation of the Top500 supercomputer list had observers question the possibility of exascale systems by 2020.
- Neuromorphic engineering
- Superconducting computing
- Big data
- Computer performance by orders of magnitude
- National Research Council (U.S.) (2008). The potential impact of high-end capability computing on four illustrative fields of science and engineering. The National Academies. p. 11. ISBN 978-0-309-12485-0.
- "Scientists, IT community await exascale computers". Computerworld. 2009-12-07. Retrieved 2009-12-18.
- Hines, Jonathan (June 8, 2018). "Genomics Code Exceeds Exaops on Summit Supercomputer". Oak Ridge Leadership Computing Facility.
- "Brain performance in FLOPS – AI Impacts". aiimpacts.org. Retrieved 2017-12-27.
- "TOP500 List - June 2018". TOP500. Retrieved 20 July 2018.
- "China's Exascale Supercomputer Operational by 2020---Chinese Academy of Sciences". english.cas.cn.
- Johnson, R. Colin (4 May 2008), "U.S. launches exaflop supercomputer initiative", www.eetimes.com
- "Science Prospects and Benefits with Exascale Computing" (PDF). Oak Ridge National Laboratory. Archived from the original (PDF) on 2012-05-04. Retrieved 2009-12-18.
- "Intel Snaps Up InfiniBand Technology, Product Line from QLogic". 2012-01-23.
- "Obama Budget Includes $126 Million for Exascale Computing". Archived from the original on 2011-02-24.
- "Proposers' Day Announcement for the IARPA Cryogenic Computing Complexity (C3) Program - IARPA-BAA-13-05(pd) (Archived)". Federal Business Opportunities. February 11, 2013. Retrieved 11 October 2015.
- "US intel agency aims to develop superconducting computer". Reuters. December 3, 2014. Retrieved December 3, 2014.
- "Executive Order Creating a National Strategic Computing Initiative". The White House Office of the Press Secretary. July 29, 2015. Retrieved 11 October 2015.
- "U.S. Bumps Exascale Timeline, Focuses on Novel Architectures for 2021". The Next Platform. 2016-12-08. Retrieved 2016-12-13.
- "Europe Gears Up for the Exascale Software Challenge with the 8.3M Euro CRESTA project". Project consortium. 14 November 2011. Retrieved 10 December 2011.
- "Booster for Next-Generation Supercomputers Kick-off for the European exascale project DEEP". FZ Jülich. 15 November 2011. Retrieved 10 December 2011.
- "Mont-Blanc project sets Exascale aims". Project consortium. 2011-10-31. Archived from the original on 5 December 2011. Retrieved 10 December 2011.
- "MaX website". project consortium. 25 November 2016. Retrieved 25 November 2016.
- "Developing Simulation Software to Combat Humanity's Biggest Issues". Scientific Computuing. 25 February 2015. Retrieved 8 April 2015.
- Thibodeau, Patrick (November 22, 2013). "Why the U.S. may lose the race to exascale". Computerworld.
- "RIKEN selects contractor for basic design of post-K supercomputer", www.aics.riken.jp, 1 Oct 2014
- "Fujitsu picks 64-bit ARM for Japan's monster 1,000-PFLOPS super", www.theregister.co.uk, 20 June 2016
- "Making up lost ground: India pitches for $1bn leap in supercomputers". Daily Mail. 23 January 2012. Retrieved 29 January 2012.
- "India Aims to Double R&D Spending for Science". HPC Wire. 4 January 2012. Retrieved 29 January 2012.
- C-DAC and Supercomputers in India
- "India plans 61 times faster supercomputer by 2017". Times of India. 27 September 2012. Retrieved 9 October 2012.
- Preparing HPC Applications for Exascale: Challenges and Recommendations, 2015-03-24, arXiv: [cs.DC], Bibcode:2015arXiv150306974A
- Exascale machines require new programming paradigms and runtimes, SUPERCOMPUTING FRONTIERS AND INNOVATIONS, 2016-05-27
- Anthony, Sebastian (June 24, 2014). "Supercomputer stagnation: New list of the world's fastest computers casts shadow over exascale by 2020". Extremetech.com.
- Gropp, William (2009). "MPI at Exascale: Challenges for Data Structures and Algorithms". Recent Advances in Parallel Virtual Machine and Message Passing Interface, Lecture Notes in Computer Science. Lecture Notes in Computer Science. Berlin: Springer. 5759: 3. Bibcode:2009LNCS.5759....3G. doi:10.1007/978-3-642-03770-2_3. ISBN 978-3-642-03769-6.
- Kirkley, John (November 22, 2011). "The Road to Exascale: Can Nanophotonics Help?". enterprisetech.com. Retrieved 11 October 2015.
- America’s Next Generation Supercomputer: The Exascale Challenge: Hearing before the Subcommittee on Energy, Committee on Science, Space, and Technology, House of Representatives, One Hundred Thirteenth Congress, First Session, Wednesday, May 22, 2013.