john gustafson nus

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What next for supercomputing and problem solving. John L. Gustafson a aratat in 1988 ceea ce este acum cunoscut sub numele de Legea lui Gustafson: oamenii de obicei nu sunt interesați de rezolvarea unei probleme fixe în cel mai scurt interval de timp, cum descrie Legea lui Amdahl, ci mai degrabă în rezolvarea problemei cele mai mari într-un timp rezonabil. All efforts so far are good and have their purpose, but none have found the formula to pull it all together," says John Gustafson. He is a former Director at Intel Labs and former Chief Product Architect at AMD. He is also a recipient of the IEEE Computer Society’s Golden Core Award. This became known as Gustafson’s Law, for which he won the inaugural ACM Gordon Bell Prize. (1981) and Ph.D. (1982) at Iowa State University. Dr. John L. Gustafson is an applied physicist and mathematician who is a Visiting Scientist at A*CRC and Professor at NUS, where he is directing efforts in Next-Generation Arithmetic. A radical new approach, "unums 2.0," breaks IEEE compatibility but yields high energy efficiency and information-per-bit, with no penalty for decimal operations instead of binary, rigorous bounds on answers without the overly pessimistic bounds produced by interval methods, and unprecedented high speed up to some precision. Furthermore, enforcing the paradigm actually can increase the speed of calculations instead of slowing them down. Claude Shannon laid down principles for maximizing the information per bit in communication protocols. A pioneer in high-performance computing, he first demonstrated scalable massively parallel performance on real applications in 1988. 9th Edition – 18, 19, 20 February 2020 – Wellington, NEW ZEALAND, Visiting Scientist at A*CRC (A*STAR Computational Resource Centre), Visiting Professor at the Computer Science Department of National University of Singapore (NUS), Former Director at Intel Labs and former Chief Product Architect at AMD (USA). http://mp3.macobserver.com/podcast/backgroundmode/bgm-2017-0710-Gustafson.mp3, Podcast: John Gustafson on What’s Next for Parallel Computing, Interview: John Gustafson on Technology Disruption and the StartupHPC Workshop, Legendary Magnum InfiniBand Switch comes to Computer History Museum, SpaRC: Scalable Sequence Clustering using Apache Spark, Video: How the SPARC M7 Builds Security into Silicon, New, Open DPC++ Extensions Complement SYCL and C++, Lenovo Enables Solutions for the ‘New HPC’, Two postdoc positions for sparse computations on emerging processors, Research Scientist and Postdoc positions in Heterogeneous Computing, Two postdoc positions - Enabling Graph Neural Networks at Exascale, PhD Position in HPC for Exascale Cardiac Simulations. These include the decision that transcendental functions need not be properly rounded for all input arguments, and the encouragement of the use of “guard bits” to reduce rounding errors in a way completely invisible to the programmer. New catalytic converter technology on cusp of CARB approval; Costa Mesa parade of Subarus breaks Guinness record “We need a place for information from one source, and I haven’t seen it yet. Dr. John L. Gustafson is an applied physicist and mathematician who is a Visiting Scientist at A*CRC and Professor at NUS, where he is directing efforts in Next-Generation Arithmetic. He is a former Director at Intel Labs and former Chief Product Architect at AMD. We show the sources of errors and then show a new paradigm that eliminates the irreproducibility problem, rendering calculations with real numbers as bit-for-bit reproducible as pure integer calculations. Career. "Gustafson's law" is named for a principle he created for that achievement, He is an honors graduate of Caltech and recipient of the IEEE Computer Society's Golden Core Award. He is a former Director at Intel Labs and former Chief Product Architect at AMD. Wednesday 7th February 2018, 11:15 am – 12:15 pm, “Artificial Intelligence, Blockchain, Deep Learning, IoT… what’s behind the hype?”, Friday 9th February 2018, 11:15 am – 12:15 pm, Friday 9th February 2018, 3:30 pm – 4:25 pm, Featured Image (top): Keynote at Multicore World 2014, All content © Open Parallel Ltd 2012 - 2020. A different set of rules can help us design numerical representations that have at least twice as much information per bit as conventional IEEE floating-point numbers. “Known by many as the father of Gustafson's Law, Dr. John Gustafson is a professor of computer science, now at The National University of Singapore.

Biodata: He is a former Director at Intel Labs and former Chief Product Architect at AMD. Unlike the original unum definition with variable-sized operands, this approach is very hardware-friendly and potentially 10 to 100 times as fast as float arithmetic. As an example of the power of this format, a difficult 12-dimensional nonlinear robotic kinematics problem that has defied solvers to date is quickly solvable with absolute bounds. Dr. John L. Gustafson is an applied physicist and mathematician, currently Professor at National University of Singapore and Visiting Scientist at A*STAR Computational Resource Centre. John "Johnny" Gustafson (8 August 1942 – 12 September 2014) was an English bass guitar player and singer, who had a lengthy recording and live performance career. Dr. John L. Gustafson (born January 19, 1955) Gustafson was raised in Des Moines, Iowa. Dr. John L. Gustafson is a Visiting Professor in SoC at NUS. He is a former Director at Intel Labs and former Chief Product Architect at AMD.

During his career, he was a member of the bands The Big Three, Ian Gillan Band, Roxy Music and his own group, Quatermass, among others. The approach shows the possibility of creating software-defined numeric systems that can be tailored by a compiler for particular applications, further maximizing information per bit. The use of cloud computing resources is increasingly exposing users to the fact that results of large-scale computations are not identical across systems, or even on the same system running the same data set. Abstract Dr. John L. Gustafson is a Visiting Professor in SoC at NUS. Aside from parallel programming errors that create race conditions or assume memory coherence that is not provided by the system, the causes of inconsistencies stem from key decisions in the IEEE 754 floating point standard. Log in. View John Gustafson’s profile on LinkedIn, the world's largest professional community. Wednesday 7 February 2018, 9:25 am – 10:10 am. John has 16 jobs listed on their profile.

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