Add to ORKGThe inherent capability of wide-SIMD architectures to exploit data level parallelism enables a high energy efficiency. For scalability and power reasons, wide-SIMDs typically have limited connectivity between the processing elements. This makes it challenging to map algorithms that require complex communication patterns. In this work we propose a novel algorithm to efficiently map the often encountered reduction operation to a wide-SIMD with limited connectivity
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
Driven by continued scaling of Moore’s Law, the number of processing elements on a die are increasin...
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. Th...
The inherent capability of wide-SIMD architectures to exploit data level parallelism enables a high ...
It has been shown that wide Single Instruction Multiple Data architectures (wide-SIMDs) can achieve ...
Energy efficiency has become one of the most important topics in computing. To meet the ever increas...
This paper presents an ultra low power programmable proces-sor architecture for wireless devices tha...
Low energy consumption has become one of the most important topics in computing. With single CPUs co...
Near-threshold operation has emerged as a competitive approach for energy-efficient architecture des...
Hardware for ambient intelligence needs to achieve extremely high computational efficiency (up to 40...
In modern wireless devices, two broad classes of compute-intensive applications are common: those wi...
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
Driven by continued scaling of Moore’s Law, the number of processing elements on a die are increasin...
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. Th...
The inherent capability of wide-SIMD architectures to exploit data level parallelism enables a high ...
It has been shown that wide Single Instruction Multiple Data architectures (wide-SIMDs) can achieve ...
Energy efficiency has become one of the most important topics in computing. To meet the ever increas...
This paper presents an ultra low power programmable proces-sor architecture for wireless devices tha...
Low energy consumption has become one of the most important topics in computing. With single CPUs co...
Near-threshold operation has emerged as a competitive approach for energy-efficient architecture des...
Hardware for ambient intelligence needs to achieve extremely high computational efficiency (up to 40...
In modern wireless devices, two broad classes of compute-intensive applications are common: those wi...
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
Driven by continued scaling of Moore’s Law, the number of processing elements on a die are increasin...
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. Th...