Zobrazeno 1 - 10
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pro vyhledávání: '"BRIGGS, IAN"'
Achieving speed and accuracy for math library functions like exp, sin, and log is difficult. This is because low-level implementation languages like C do not help math library developers catch mathematical errors, build implementations incrementally,
Externí odkaz:
http://arxiv.org/abs/2311.01515
Nonlinear frequency mixing is of critical importance in extending the wavelength range of optical sources. It is also indispensable for emerging applications such as quantum information and photonic signal processing. Conventional lithium niobate wit
Externí odkaz:
http://arxiv.org/abs/2307.11671
Optical isolators are an essential component of photonic systems. Current integrated optical isolators have limited bandwidths due to stringent phase-matching conditions, resonant structures, or material absorption. Here, we demonstrate an ultra-broa
Externí odkaz:
http://arxiv.org/abs/2212.03436
Autor:
Briggs, Ian, Panchekha, Pavel
Identities compactly describe properties of a mathematical expression and can be leveraged into faster and more accurate function implementations. However, identities must currently be discovered manually, which requires a lot of expertise. We propos
Externí odkaz:
http://arxiv.org/abs/2206.07086
Autor:
Briggs, Ian, Panchekha, Pavel
Standard library implementations of functions like sin and exp optimize for accuracy, not speed, because they are intended for general-purpose use. But applications tolerate inaccuracy from cancellation, rounding error, and singularities-sometimes ev
Externí odkaz:
http://arxiv.org/abs/2107.05761
Squeezed light is a key quantum resource that enables quantum advantages for sensing, networking, and computing applications. The scalable generation and manipulation of squeezed light with integrated platforms are highly desired for the development
Externí odkaz:
http://arxiv.org/abs/2107.02250
Automated techniques for rigorous floating-point round-off error analysis are important in areas including formal verification of correctness and precision tuning. Existing tools and techniques, while providing tight bounds, fail to analyze expressio
Externí odkaz:
http://arxiv.org/abs/2004.11960
Autor:
Das, Arnab, Krishnamoorthy, Sriram, Briggs, Ian, Gopalakrishnan, Ganesh, Tipireddy, Ramakrishna
We present FPDetect, a low overhead approach for detecting logical errors and soft errors affecting stencil computations without generating false positives. We develop an offline analysis that tightly estimates the number of floating-point bits prese
Externí odkaz:
http://arxiv.org/abs/2004.04359
Autor:
Bentley, Michael, Briggs, Ian, Gopalakrishnan, Ganesh, Ahn, Dong H., Laguna, Ignacio, Lee, Gregory L., Jones, Holger E.
Successful HPC software applications are long-lived. When ported across machines and their compilers, these applications often produce different numerical results, many of which are unacceptable. Such variability is also a concern while optimizing th
Externí odkaz:
http://arxiv.org/abs/1811.05618
Autor:
Briggs, Ian
This thesis outlines the development of a one-dimensional simulation of a 2.4-litre diesel engine used on a Wrightbus hybrid bus. The engine model, created using Ricardo WAVE, was validated against an extensive experimental data set and was shown to
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669651