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...
The crisis of Moore's law and new dominant Machine Learning workloads require a paradigm shift towar...
The growing demands of the worldwide IT infrastructure stress the need for reduced power consumption...
Field of study: Electrical engineering.Dr. Michela Becchi, Thesis Supervisor."December 2017."Floatin...
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 ...
The datasets have been collected by benchmarking three algorithms for Transprecision Computing (Corr...
International audienceFloating-Point (FP) computation using standard IEEE formats has a significant ...
Reduced-precision floating-point (FP) arithmetic is being widely adopted to reduce memory footprint ...
This paper presents the design and the implementation of a fully combinatorial floating point unit (...
For many years, computing systems rely on guaranteed numerical precision of each step in complex com...
International audienceError-tolerating applications are increasingly common in the emerging field of...
Using standard Floating-Point (FP) formats for computation leads to significant hardware overhead si...
The crisis of Moore's law and new dominant Machine Learning workloads require a paradigm shift towar...
The growing demands of the worldwide IT infrastructure stress the need for reduced power consumption...
Field of study: Electrical engineering.Dr. Michela Becchi, Thesis Supervisor."December 2017."Floatin...
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 ...
The datasets have been collected by benchmarking three algorithms for Transprecision Computing (Corr...
International audienceFloating-Point (FP) computation using standard IEEE formats has a significant ...
Reduced-precision floating-point (FP) arithmetic is being widely adopted to reduce memory footprint ...
This paper presents the design and the implementation of a fully combinatorial floating point unit (...
For many years, computing systems rely on guaranteed numerical precision of each step in complex com...
International audienceError-tolerating applications are increasingly common in the emerging field of...
Using standard Floating-Point (FP) formats for computation leads to significant hardware overhead si...
The crisis of Moore's law and new dominant Machine Learning workloads require a paradigm shift towar...
The growing demands of the worldwide IT infrastructure stress the need for reduced power consumption...
Field of study: Electrical engineering.Dr. Michela Becchi, Thesis Supervisor."December 2017."Floatin...