During the last two decades, Single Instruction Multiple Data (SIMD) processors have become important architectures in embedded systems for image processing applications. The main reasons are their area and energy efficiency. Often the processing elements (PEs) of an SIMD processor are only locally connected. This may result in a communication bottleneck (only access to direct neighbors). One way to solve this is to use a fully connected communication network (FC-SIMD) between PEs. However, this solution leads to an excessive communication area cost, low communication network utilization, and scalability problems. E.g., the area overhead of an FC-SIMD is more than 100% when the number of PEs gets bigger than 64. In this paper, we introduce...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
Many networked embedded systems combine sensing using cameras with processing to achieve certain com...
Many media processing algorithms suffer from long execution times, which are most often not acceptab...
Abstract. During the last two decades, Single Instruction Multiple Data (SIMD) processors have becom...
SIMD processors are increasingly used in embedded systems for multi-media applications because of th...
SIMD processors are increasingly used in embedded systems for multi-media applications because of th...
SIMD processors are increasingly used in embedded systems for multi-media applications because of th...
SIMD processors are increasingly used in embedded systems for multi-media applications because of th...
SIMD processors are increasingly used in embedded systems for multi-media applications because of th...
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
Many networked embedded systems combine sensing using cameras with processing to achieve certain com...
Many media processing algorithms suffer from long execution times, which are most often not acceptab...
Abstract. During the last two decades, Single Instruction Multiple Data (SIMD) processors have becom...
SIMD processors are increasingly used in embedded systems for multi-media applications because of th...
SIMD processors are increasingly used in embedded systems for multi-media applications because of th...
SIMD processors are increasingly used in embedded systems for multi-media applications because of th...
SIMD processors are increasingly used in embedded systems for multi-media applications because of th...
SIMD processors are increasingly used in embedded systems for multi-media applications because of th...
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
SIMD (single instruction multiple data)-type processors have been found very efficient in image proc...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
Many networked embedded systems combine sensing using cameras with processing to achieve certain com...
Many media processing algorithms suffer from long execution times, which are most often not acceptab...