9noTo live in the information society means to be surrounded by billions of electronic devices full of sensors that constantly acquire data. This enormous amount of data must be processed and classified. A solution commonly adopted is to send these data to server farms to be remotely elaborated. The drawback is a huge battery drain due to high amount of information that must be exchanged. To compensate this problem data must be processed locally, near the sensor itself. But this solution requires huge computational capabilities. While microprocessors, even mobile ones, nowadays have enough computational power, their performance are severely limited by the Memory Wall problem. Memories are too slow, so microprocessors cannot fetch enough dat...
Modern processing speeds in conventional Von Neumann architectures are severely limited by memory ac...
International audienceAll current computing platforms are designed following the von Neumann archite...
The analysis of big-data at exa-scale (1018 bytes or flops) has called for an urgent need to re-exam...
Recent years have witnessed a rapid growth in the amount of generated data, owing to the emergence o...
7noDuring the years, microprocessors went through impressive performance improvement thanks to techn...
High-performance processors and emerging deep learning applications require a tremendous amount of d...
Workloads involving higher computational operations require impressive computational units. Computat...
With the rise in artificial intelligence (AI), computing systems are facing new challenges related t...
The work presented in this thesis focuses on the exploration of alternative architectures and comput...
The explosive increase in data volume in emerging applications poses grand challenges to computing s...
General purpose processors and accelerators including system-on-a-chip and graphics processing units...
There is much interest in embedding data analytics into sensor-rich platforms such as wearables, bio...
Algorithms for data-analytics executed on classical Von Neumann architectures proved highly energy ...
International audienceThis paper introduces a new combination of software and hardware PIM (Process-...
Processing systems are in continuous evolution thanks to the constant technological advancement and ...
Modern processing speeds in conventional Von Neumann architectures are severely limited by memory ac...
International audienceAll current computing platforms are designed following the von Neumann archite...
The analysis of big-data at exa-scale (1018 bytes or flops) has called for an urgent need to re-exam...
Recent years have witnessed a rapid growth in the amount of generated data, owing to the emergence o...
7noDuring the years, microprocessors went through impressive performance improvement thanks to techn...
High-performance processors and emerging deep learning applications require a tremendous amount of d...
Workloads involving higher computational operations require impressive computational units. Computat...
With the rise in artificial intelligence (AI), computing systems are facing new challenges related t...
The work presented in this thesis focuses on the exploration of alternative architectures and comput...
The explosive increase in data volume in emerging applications poses grand challenges to computing s...
General purpose processors and accelerators including system-on-a-chip and graphics processing units...
There is much interest in embedding data analytics into sensor-rich platforms such as wearables, bio...
Algorithms for data-analytics executed on classical Von Neumann architectures proved highly energy ...
International audienceThis paper introduces a new combination of software and hardware PIM (Process-...
Processing systems are in continuous evolution thanks to the constant technological advancement and ...
Modern processing speeds in conventional Von Neumann architectures are severely limited by memory ac...
International audienceAll current computing platforms are designed following the von Neumann archite...
The analysis of big-data at exa-scale (1018 bytes or flops) has called for an urgent need to re-exam...