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To realize high performance, embedded applications are deployed on multiprocessor platforms tailored for an application domain.
Queue processors are a viable alternative for high performance embedded computing and parallel processing.
In this paper we present an innovative and high performance embedded system for real-time pattern matching.
This paper describes how we applied systems engineering principles to design a high performance embedded classification system in a systematic and well structured way.
The mapping process of high performance embedded applications to today's multiprocessor system-on-chip devices suffers from a complex toolchain and programming process.
We proposed a heuristic algorithm, called Parallel Pipeline Latency Optimization for high performance embedded systems (PaPiLO), based on clustering, replication and duplication, to minimize latency under power and throughput constraints.
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Besides, the power consumptions of the two experimental heterogeneous high-performance embedded platforms illustrated that the heterogeneous embedded computing platforms can be used as portable or mobile medical ultrasonic devices.
This paper describes the architecture of a System on Chip (SoC) solution that is being developed for high-performance, embedded real-time control applications.
This paper describes the architecture and design framework for a multiprocessor system on chip (SoC) solution that is being developed for adaptive, high-performance, embedded real-time control applications.
High-performance embedded architectures typically contain many stand-alone blocks which communicate and exchange data; additionally a high-speed network interface is usually needed at the boundary of the system.
Ethertronics is the leading developer and manufacturer of high performance internal (embedded) antennas for wireless devices.
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