#ACM A. M. Turing Award

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Dongarra has led the world of high-performance computing through his contributions to efficient numerical algorithms for linear algebra operations, parallel computing programming mechanisms, and performance evaluation tools. For nearly forty years, Moore’s Law produced exponential growth in hardware performance. During that same time, while most software failed to keep pace with these hardware advances, high performance numerical software did—in large part due to Dongarra’s algorithms, optimization techniques, and production-quality software implementations.

These contributions laid a framework from which scientists and engineers made important discoveries and game-changing innovations in areas including big data analytics, healthcare, renewable energy, weather prediction, genomics, and economics, to name a few. Dongarra’s work also helped facilitate leapfrog advances in computer architecture and supported revolutions in computer graphics and deep learning.

Dongarra’s major contribution was in creating open-source software libraries and standards which employ linear algebra as an intermediate language that can be used by a wide variety of applications. These libraries have been written for single processors, parallel computers, multicore nodes, and multiple GPUs per node. Dongarra’s libraries also introduced many important innovations including autotuning, mixed precision arithmetic, and batch computations.

As a leading ambassador of high-performance computing, Dongarra led the field in persuading hardware vendors to optimize these methods, and software developers to target his open-source libraries in their work. Ultimately, these efforts resulted in linear algebra-based software libraries achieving nearly universal adoption for high performance scientific and engineering computation on machines ranging from laptops to the world’s fastest supercomputers. These libraries were essential in the growth of the field—allowing progressively more powerful computers to solve computationally challenging problems.

“Today’s fastest supercomputers draw headlines in the media and excite public interest by performing mind-boggling feats of a quadrillion calculations in a second,” explains ACM President Gabriele Kotsis. “But beyond the understandable interest in new records being broken, high performance computing has been a major instrument of scientific discovery. HPC innovations have also spilled over into many different areas of computing and moved our entire field forward. Jack Dongarra played a central part in directing the successful trajectory of this field. His trailblazing work stretches back to 1979, and he remains one of the foremost and actively engaged leaders in the HPC community. His career certainly exemplifies the Turing Award’s recognition of ‘major contributions of lasting importance.’”

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For over four decades, Dongarra has been the primary implementor or principal investigator for many libraries such as LINPACK, BLAS, LAPACK, ScaLAPACK, PLASMA, MAGMA, and SLATE. These libraries have been written for single processors, parallel computers, multicore nodes, and multiple GPUs per node. His software libraries are used, practically universally, for high performance scientific and engineering computation on machines ranging from laptops to the world’s fastest supercomputers.

These libraries embody many deep technical innovations such as:

Autotuning: through his 2016 Supercomputing Conference Test of Time award-winning ATLAS project, Dongarra pioneered methods for automatically finding algorithmic parameters that produce linear algebra kernels of near-optimal efficiency, often outperforming vendor-supplied codes.

Mixed precision arithmetic: In his 2006 Supercomputing Conference paper, “Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy,” Dongarra pioneered harnessing multiple precisions of floating-point arithmetic to deliver accurate solutions more quickly. This work has become instrumental in machine learning applications, as showcased recently in the HPL-AI benchmark, which achieved unprecedented levels of performance on the world’s top supercomputers.

Batch computations: Dongarra pioneered the paradigm of dividing computations of large dense matrices, which are commonly used in simulations, modeling, and data analysis, into many computations of smaller tasks over blocks that can be calculated independently and concurrently. Based on his 2016 paper, “Performance, design, and autotuning of batched GEMM for GPUs,” Dongarra led the development of the Batched BLAS Standard for such computations, and they also appear in the software libraries MAGMA and SLATE.

Dongarra has collaborated internationally with many people on the efforts above, always in the role of the driving force for innovation by continually developing new techniques to maximize performance and portability while maintaining numerically reliable results using state of the art techniques.  Other examples of his leadership include the Message Passing Interface (MPI) the de-facto standard for portable message-passing on parallel computing architectures, and the Performance API (PAPI), which provides an interface that allows collection and synthesis of performance from components of a heterogeneous system. The standards he helped create, such as MPI, the LINPACK Benchmark, and the Top500 list of supercomputers, underpin computational tasks ranging from weather prediction to climate change to analyzing data from large scale physics experiments.

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Turing award 2018 - Winners

https://www.rtoz.org/2019/03/28/fathers-of-the-deep-learning-revolution-receive-acm-a-m-turing-award/

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FATHERS OF THE DEEP LEARNING REVOLUTION RECEIVE ACM AM TURING AWARD - GlobeNewswire https://ift.tt/2FuV8hc

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Meet The Top 10 Programmers in the World of All Time

1. Dennis Ritchie

Dennis MacAlistair Ritchie was an American computer scientist who “helped shape the digital era”. He created the C programming language and with long-time colleague Ken Thompson, the Unix operating system. Ritchie and Thompson received the Turing Award from the ACM in 1983, the Hamming Medal from the IEEE in 1990 and the National Medal of Technology from President Clinton in 1999. Ritchie was the head of Lucent Technologies System Software Research Department when he retired in 2007.

  2. Bjarne Stroustrup

Bjarne Stroustrup is a Danish computer scientist, most notable for the creation and development of the widely used C++ programming language. He is a Distinguished Research Professor and holds the College of Engineering Chair in Computer Science at Texas A&M University, a visiting professor at Columbia University, and works at Morgan Stanley.

  3. James Gosling

James Arthur Gosling is a Canadian computer scientist, best known as the father of the Java programming language. James has also made major contributions to several other software systems, such as NeWS and Gosling Emacs. Due to his extra-ordinary achievements Gosling was elected to Foreign Associate member of the United States National Academy of Engineering.

    4. Linus Torvalds

Linus Benedict Torvalds is a Finnish American software engineer, who was the principal force behind the development of the Linux kernel. He later became the chief architect of the Linuxkernel, and now acts as the project’s coordinator. He also created the revision control system Git as well as the diving log software Subsurface. He was honored, along with Shinya Yamanaka, with the 2012 Millennium Technology Prize by the Technology Academy Finland in recognition of his creation of a new open source operating system for computers leading to the widely used Linux kernel.

  5. Anders Hejlsberg

Anders Hejlsberg is a prominent Danish software engineer who co-designed several popular and commercially successful programming languages and development tools. He is creator of popular programming language C#. He was the original author of Turbo Pascal and the chief architect of Delphi. He currently works for Microsoft as the lead architect of C# and core developer on TypeScript.

    6. Tim Berners-Lee

Sir Timothy John “Tim” Berners-Lee also known as “TimBL,” is a British computer scientist, best known as the inventor of the World Wide Web. He made a proposal for an information management system in March 1989 and he implemented the first successful communication between a Hypertext Transfer Protocol (HTTP) client and server via the Internet. Berners-Lee is the director of the World Wide Web Consortium (W3C), which oversees the Web’s continued development.

    7. Brian Kernighan

Brian Wilson Kernighan is a Canadian computer scientist who worked at Bell Labs alongside Unix creators Ken Thompson and Dennis Ritchie and contributed to the development of Unix. He is also coauthor of the AWK and AMPL programming languages. Kernighan’s name became widely known through co-authorship of the first book on the C programming language with Dennis Ritchie.

    8. Ken Thompson

Kenneth Thompson commonly referred to as ken in hacker circles is an American pioneer of computer science. Having worked at Bell Labs for most of his career, Thompson designed and implemented the original Unix operating system. He also invented the B programming language, the direct predecessor to the C programming language, and was one of the creators and early developers of the Plan 9 operating systems. Since 2006, Thompson works at Google, where he co-invented the Go programming language.

    9. Guido van Rossum

Guido van Rossum is a Dutch computer programmer who is best known as the author of the Python programming language. In the Python community, Van Rossum is known as a “Benevolent Dictator For Life” (BDFL), meaning that he continues to oversee the Python development process, making decisions where necessary. He was employed by Google from 2005 until December 7th 2012, where he spent half his time developing the Python language. In January 2013, Van Rossum started working for Dropbox.

  10. Donald Knuth

Donald Ervin Knuth is an American computer scientist, mathematician, and Professor Emeritus at Stanford University. He is the author of the multi-volume work The Art of Computer Programming. Knuth has been called the “father” of the analysis of algorithms. He contributed to the development of the rigorous analysis of the computational complexity of algorithms and systematized formal mathematical techniques for it. In the process he also popularized the asymptotic notation. Knuth is the creator of the TeX computer typesetting system, the related METAFONT font definition language and rendering system and the Computer Modern family of typefaces.

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Vint Cerf speaking at #humanstomars 📡 Widely known as a “Father of the Internet,” Cerf is the co-designer of the TCP/IP protocols and the architecture of the Internet. In December 1997, President Bill Clinton presented the U.S. National Medal of Technology to Cerf and his colleague, Robert E. Kahn, for founding and developing the Internet. In 2004, Cerf was the recipient of the ACM Alan M. Turing award (sometimes called the “Nobel Prize of Computer Science”) and in 2005 he was given the Presidential Medal of Freedom by President George Bush. Cerf began his work at the United States Department of Defense Advanced Research Projects Agency (DARPA) playing a key role in leading the development of Internet and Internet-related data packet and security technologies. Since 2005, he has served as vice president and chief Internet evangelist for Google. In this role, he is responsible for identifying new enabling technologies to support the development of advanced, Internet-based products and services. He is also an active public face for Google in the Internet world. He also served from 2000-2007 as chairman of the board of the Internet Corporation for Assigned Names and Numbers (ICANN), an organization he helped form. Cerf served as founding president of the Internet Society from 1992-1995, and in 1999 served a term as Chairman of the Board. (at GW Lisner Auditorium)

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A brief and real history of the Internet

A brief and real history of the Internet

Essay by Vint Cerf, widely known as a “Father of the Internet,” Cerf is the co-designer of the TCP/IP protocols and the architecture of the Internet. In December 1997, President Bill Clinton presented the U.S. National Medal of Technology to Cerf and his colleague, Robert E. Kahn, for founding and developing the Internet. In 2004, Cerf was the recipient of the ACM Alan M. Turing award (sometimes…

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via AIMPAK – ایم پاک

Hennessy and Patterson’s Foundational Contributions to Today’s Microprocessors Helped Usher in Mobile and IoT Revolutions NEW YORK, NY, March 21, 2018 – ACM, the Association for Computing Machinery, today named John L. Hennessy, former President of Stanford University, and David A. Patterson, retired Professor of the University of California, Berkeley, recipients of the 2017 ACM A.M.…

The post John Hennessy and David Patterson will receive the 2017 ACM A.M. Turing Award appeared first on AIMPAK - ایم پاک.

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Appointment: Cryptographer Silvio Micali in Bitcoin, Ethereum and Proof Stake

Silvio Micali is undoubtedly an MIT lecturer and Turing Award-winning cryptographer known for his or her work inside technologies that will form the particular bedrock connected with blockchains nowadays: public-key cryptosystems, digital autographs, pseudorandomness in addition to multiparty calculations. He is furthermore the co-inventor of the zero-knowledge proof.

Inside ’90s, he or she worked on Raffiné agreement, a new protocol getting nodes inside a distributed method to concur with a state adjust. And in this, he plus long-time collaborator Shafi Goldwasser were co-recipients of the A new. M. Turing Award, in essence, the “Nobel Prize throughout computing. ”

Upon understading about Bitcoin four years ago, Micali turned the attention by mechanism design and style, which acquired consumed the dog for the preceding seven several years, and luogo headlong in creating a proof-of-stake algorithm. His / her project is termed Algorand.

For example, Algorand uses novel way of Byzantine deal with solely nine estimated steps. Inside each step, committee in charge of a particular competition, golf course, rules of golf committee, etc. members, preferred at random in the private lotto, are exchanged. The result is your high-security technique with a minimal risk of forks.

According to Micali, recent checks show Algorand can method 2 MB blocks with 17 just a few seconds, compared to Bitcoin, which creates a 1 MB block just about every 10 minutes. (A paper about these benefits will be displayed at SOSP, the biennial ACM Assemblée on Os's Principles, in the future this month. )

In an appointment with Bitcoin Magazine, Micali explained the reason he perceives proof of pole is more advanced than proof of do the job, the opinion algorithm in which underlies nearly all cryptocurrencies right now, including Bitcoin and Ethereum. Although Ethereum, more often known as a smart commitment platform, is going to transition to help proof of position next year.

Pointless Evil Micali thinks proof work must have been a great idea with first seemed, but now we have seen splits, he message or calls it a great “unnecessary evil” for several explanations.

“The new I seen the Bitcoin, I could see all the complications. To me, the leading difficulty is a waste with computational information. That is actually appalling, ” he mentioned. “It drs up selling prices and depletes the planet regarding resources. ”

Second, they sees miners as “a new heart of power” and a orthogonal drive to the authentic users with the system: typically the coin stands.

“If all 5 mining costly can handle what goes around or would not go in any block, regarding sense is definitely the ledger decentralized? You would not want miners having command over the journal, particularly when they get low margins, are miles away and dependable to not a soul. I think it can be a recipe regarding disaster, ” he explained.

Finally, business deal ambiguity is not going to sit very well with him or her. In Bitcoin, occasionally a couple blocks tend to be found at close to the same time, building a temporary hand in the company. When that is working in the background or an algorithm, the side with the more significant hash electric power is pointed, while the different and its pads “disappear. ” If your purchases happened to be within the orphaned mass, it will eventually find picked up all over again in the main archipelago, but for Micali, the idea will be unsettling.

“Every time I realize my purchase is in some sort of block, My partner and i worry often the block could disappear. Yet never mind restless people including me; finance institutions may not be able to take on the risk, ” he claimed. “Can you actually imagine a monetary world everywhere wire geneva chamonix transfers could be considered back? ”

Natural Democracy Micali is convinced proof of share is a far better option. Throughout proof of spot, there are not any miners, a perfect coin spots. Further, a new coin holder’s ability to develop or verify a prohibit is based on just how many coins inside system the person owns.

“This is a healthy interpretation involving democracy, ” Micali reported. “Your have an effect on in retaining the condition of the strategy is based on the amount of you are genuinely invested in the training course. ”

Nevertheless there is a hook: creating a proof-of-stake algorithm is tough to do. Even though several plans claim to have proved useful up with your secure project, Micali feels some of those says are suspicious. “The simply to, people can certainly claim whatever they want, ” he mentioned.

One of the biggest obstacles in evidence stake will be the “nothing on stake” challenge. If the string forks, the suitable strategy for almost any coin support is to prolong both places to eat to make additional obstruct rewards or even double commit. That goes resistant to the central layout goal of the blockchains: receiving users that will converge using one chain.

Many projects are looking for ways to build their proof-of-stake protocols by building perks or perhaps punishments for getting coin owners to comply with the rules. Together with that, several proof-of-stake programs require end users to put right up a type of security and safety deposit or maybe bond.

Micali feels any well-designed proof-of-stake cryptocurrency really should stand alone, however , not having extra methods. He considers bonding parts doors that slow actors.

“Let me consult you, what exactly fraction on your disposable salary can you put together the dining room table and not effect? ” he / she said and also suggested this honest folks will created only a touch, ceding management to bad actresses with significant pockets.

“The danger is always that only undesirable people will deliver up deal with over a lots of money to govern the system. If they gain much more funds by acting up, they will be content to lose these people put on the exact table, ” he explained.

He likewise disagrees armed with the idea of using penalty to get clients to are in line.

“A weak status rules by threats along with fear, ” he claimed, comparing the particular practice to be able to barbaric punishments used by a number of nations for you to fight criminal. Why do these cards do it? Mainly because criminals are really rarely ensnared, he reported. “So as soon as they catch just one, they disembowel the poor gentleman. ”

He / she continued, “Do you want to hors somebody who all misbehaves? Certainly. But a nicely organized method is one in you don’t ought to punish men and women. ”

Bitcoin and Ethereum Most people perspective Bitcoin just as a cryptocurrency, but Micali thinks the foremost value of Bitcoin and Ethereum are seeing that enablers connected with smart plans, in which consumers can designate if-then ailments around installments.

“At the bottom of the day, accomplishing only transfers is easy, ” he mentioned, adding that they did not need to trivialize the challenge. “Of training, decentralized obligations are better than central payments, what really elevates a cryptocurrency from another form of dollars is that you may actually do a sensible contract. ”

Based on of which, he perceives that the two Bitcoin in addition to Ethereum will benefit from using the best comprehensive agreement algorithm readily available. Currently, both equally systems usually are “huffing plus puffing, ” he explained. Bitcoin is usually constrained to help 7 deals per secondly, while Ethereum can course of action only 18 per following, compared to Visa’s 2, 000 per next.

“If typically the blockchain skin scales, isn’t the item better intended for Bitcoin and also Ethereum? If your blockchain possesses a [mathematical] proof security, certainly is not it a great deal better for its people? ” your dog said. “If the blockchain cannot be hijacked by miners who are liable to no-one and stay in some far-away jurisdiction, isnt that a additionally for all end users? ” Micali thinks consequently.

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Sir Tim Berners Lee Receives 2016 ACM A.M. Turing Award

ACM named Sir Tim Berners-Lee, a Professor at Massachusetts Institute of Technology and the University of Oxford, the recipient of the 2016 ACM A.M. Turing …

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Continuing Neural Networks and CV

We are continuing our research into neural networks and computer vision. We attended the ACM A. M. Turing Awards which was very inspirational and included many relevant and enlightening panels. We will continue our work in neural networks and computer vision for image classification during the next several weeks.

25_06_2017

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Tim Berners-Lee wins 2016 ACM A M Turing Award

Tim Berners-Lee wins 2016 ACM A M Turing Award

Berners-Lee received the 2016 Turing Award “for inventing the World Wide Web, the first web browser, and the fundamental protocols and algorithms allowing the Web to scale”.