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...
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. Th...
Driven by continued scaling of Moore’s Law, the number of processing elements on a die are increasin...
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...
Hardware for ambient intelligence needs to achieve extremely high computational efficiency (up to 40...
Near-threshold operation has emerged as a competitive approach for energy-efficient architecture des...
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...
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. Th...
Driven by continued scaling of Moore’s Law, the number of processing elements on a die are increasin...
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...
Hardware for ambient intelligence needs to achieve extremely high computational efficiency (up to 40...
Near-threshold operation has emerged as a competitive approach for energy-efficient architecture des...
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...
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. Th...
Driven by continued scaling of Moore’s Law, the number of processing elements on a die are increasin...