For many scientific calculations, particularly those involving empirical data, IEEE 32-bit floating-point arithmetic produces results of sufficient accuracy, while for other applications IEEE 64-bit floating-point is more appropriate. But for some very demanding applications, even higher levels of precision are often required. This article discusses the challenge of high-precision computation, in the context of mathematical physics, and highlights what facilities are required to support future computation, in light of emerging developments in computer architecture
AbstractAdvances in computer technology are now so profound that the arithmetic capability and reper...
International audienceThere is a growing interest in the use of reduced-precision arithmetic, exacer...
The precision used in an algorithm affects the error and performance of individual computations, the...
Abstract—For many scientific calculations, particularly those involving empirical data, IEEE 32-bit ...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scienti...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scient...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scienti...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scienti...
At the present time, IEEE 64-bit oating-point arithmetic is suficiently accurate for most scientic a...
Abstract: In basic computational physics classes, students often raise the question of how to comput...
Floating-point numbers have an intuitive meaning when it comes to physics-based numerical computatio...
Floating-point computations are at the heart of much of the computing done in high energy physics. ...
Scientific computing applications often require support for non-traditional data types, for example,...
The goal of this thesis is to describe factors which influence the accuracy of mathematical calculat...
Abstract. Most mathematical formulae are defined in terms of operations on real numbers, but compute...
AbstractAdvances in computer technology are now so profound that the arithmetic capability and reper...
International audienceThere is a growing interest in the use of reduced-precision arithmetic, exacer...
The precision used in an algorithm affects the error and performance of individual computations, the...
Abstract—For many scientific calculations, particularly those involving empirical data, IEEE 32-bit ...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scienti...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scient...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scienti...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scienti...
At the present time, IEEE 64-bit oating-point arithmetic is suficiently accurate for most scientic a...
Abstract: In basic computational physics classes, students often raise the question of how to comput...
Floating-point numbers have an intuitive meaning when it comes to physics-based numerical computatio...
Floating-point computations are at the heart of much of the computing done in high energy physics. ...
Scientific computing applications often require support for non-traditional data types, for example,...
The goal of this thesis is to describe factors which influence the accuracy of mathematical calculat...
Abstract. Most mathematical formulae are defined in terms of operations on real numbers, but compute...
AbstractAdvances in computer technology are now so profound that the arithmetic capability and reper...
International audienceThere is a growing interest in the use of reduced-precision arithmetic, exacer...
The precision used in an algorithm affects the error and performance of individual computations, the...