Modern radio telescopes require highly energy/power-efficient computing systems. Signal processing pipelines of such radio telescopes are dominated by accumulation based iterative processes. As the input signal received at a radio telescope is regarded as Gaussian noise, employing approximate computing looks promising. Therefore, we present opportunities and challenges offered by the approximate computing paradigm to achieve the required efficiency targets
Astronomy is facing an exponential growth of data driven by the enormous technological advances in t...
Radio telescopes produce large volumes of data that need to be processed to obtain high-resolution s...
The tens of millions of radio sources to be detected with next-generation surveys pose new challenge...
Computing devices have been constantly challenged by resource-hungry applications such as scientific...
Current and future radio telescopes, in particular the Square Kilometre Array (SKA), are envisaged t...
Large-scale science instruments, such as the LHC and recent distributed radio telescopes such as LOF...
Large-scale science instruments, such as the distributed radio telescope LOFAR, show that we are in ...
Large sensor-based infrastructures for radio astronomy will be among the most intensive data-driven ...
Large sensor-based infrastructures for radio astronomy will be among the most intensive data-driven ...
For next-generation radio telescopes such as the Square Kilometre Array, seemingly minor changes in ...
Radio astronomy organisations desire to optimise the terrestrial radio astronomy observations by mit...
Methods in Computational Physics, Volume 14: Radio Astronomy is devoted to the role of the digital c...
Approximate computing allows the introduction of inaccuracy in the computation for cost savings, suc...
This thesis describes the design and implementation of several instruments for digitizing and proces...
Traditional radio astronomy instrumentation relies on custom built designs, specialized for each sci...
Astronomy is facing an exponential growth of data driven by the enormous technological advances in t...
Radio telescopes produce large volumes of data that need to be processed to obtain high-resolution s...
The tens of millions of radio sources to be detected with next-generation surveys pose new challenge...
Computing devices have been constantly challenged by resource-hungry applications such as scientific...
Current and future radio telescopes, in particular the Square Kilometre Array (SKA), are envisaged t...
Large-scale science instruments, such as the LHC and recent distributed radio telescopes such as LOF...
Large-scale science instruments, such as the distributed radio telescope LOFAR, show that we are in ...
Large sensor-based infrastructures for radio astronomy will be among the most intensive data-driven ...
Large sensor-based infrastructures for radio astronomy will be among the most intensive data-driven ...
For next-generation radio telescopes such as the Square Kilometre Array, seemingly minor changes in ...
Radio astronomy organisations desire to optimise the terrestrial radio astronomy observations by mit...
Methods in Computational Physics, Volume 14: Radio Astronomy is devoted to the role of the digital c...
Approximate computing allows the introduction of inaccuracy in the computation for cost savings, suc...
This thesis describes the design and implementation of several instruments for digitizing and proces...
Traditional radio astronomy instrumentation relies on custom built designs, specialized for each sci...
Astronomy is facing an exponential growth of data driven by the enormous technological advances in t...
Radio telescopes produce large volumes of data that need to be processed to obtain high-resolution s...
The tens of millions of radio sources to be detected with next-generation surveys pose new challenge...