In recent years approximate computing has been extensively explored as a paradigm to design hardware and software solutions that save energy by trading off on the quality of the computed results. In applications that involve numerical computations with wide dynamic range, precision tuning of floating-point (FP) variables is a key knob to leverage the energy/quality trade-off of program results. This aspect assumes maximum relevance in the transprecision computing scenario, where accuracy of data is tuned at fine grain in application code. Performing precision tuning at fine grain requires a software development flow that streamlines the assessment of which variables have “precision slack” within an application. In this paper we introduce Fl...
Low-precision floating-point arithmetic can be simulated via software by executing each arithmetic o...
<p>In this thesis, we design frameworks for efficient and accurate floating point computation. The p...
One can simulate low-precision floating-point arithmetic via software by executing each arithmetic o...
In recent years approximate computing has been extensively explored as a paradigm to design hardware...
International audienceFull-precision Floating-Point Units (FPUs) can be a source of extensive hardwa...
Full-precision Floating-Point Units (FPUs) can be a source of extensive hardware overhead in general...
In modern low-power embedded platforms, floating-point (FP) operations emerge as a major contributor...
The slowdown of Moore's law and the power wall necessitates a shift toward finely tunable precision ...
Reduced-precision floating-point (FP) arithmetic is being widely adopted to reduce memory footprint ...
For many years, computing systems rely on guaranteed numerical precision of each step in complex com...
The datasets have been collected by benchmarking three algorithms for Transprecision Computing (Corr...
This paper presents the design and the implementation of a fully combinatorial floating point unit (...
International audienceFloating-Point (FP) computation using standard IEEE formats has a significant ...
Using standard Floating-Point (FP) formats for computation leads to significant hardware overhead si...
Given the variety of numerical errors that can occur, floating-point programs are difficult to write...
Low-precision floating-point arithmetic can be simulated via software by executing each arithmetic o...
<p>In this thesis, we design frameworks for efficient and accurate floating point computation. The p...
One can simulate low-precision floating-point arithmetic via software by executing each arithmetic o...
In recent years approximate computing has been extensively explored as a paradigm to design hardware...
International audienceFull-precision Floating-Point Units (FPUs) can be a source of extensive hardwa...
Full-precision Floating-Point Units (FPUs) can be a source of extensive hardware overhead in general...
In modern low-power embedded platforms, floating-point (FP) operations emerge as a major contributor...
The slowdown of Moore's law and the power wall necessitates a shift toward finely tunable precision ...
Reduced-precision floating-point (FP) arithmetic is being widely adopted to reduce memory footprint ...
For many years, computing systems rely on guaranteed numerical precision of each step in complex com...
The datasets have been collected by benchmarking three algorithms for Transprecision Computing (Corr...
This paper presents the design and the implementation of a fully combinatorial floating point unit (...
International audienceFloating-Point (FP) computation using standard IEEE formats has a significant ...
Using standard Floating-Point (FP) formats for computation leads to significant hardware overhead si...
Given the variety of numerical errors that can occur, floating-point programs are difficult to write...
Low-precision floating-point arithmetic can be simulated via software by executing each arithmetic o...
<p>In this thesis, we design frameworks for efficient and accurate floating point computation. The p...
One can simulate low-precision floating-point arithmetic via software by executing each arithmetic o...