Get Embedded Systems Development: From Functional Models to PDF

By Alberto Sangiovanni-Vincentelli, Haibo Zeng, Marco Di Natale, Peter Marwedel

ISBN-10: 1461438780

ISBN-13: 9781461438786

ISBN-10: 1461438799

ISBN-13: 9781461438793

This e-book bargains readers vast assurance of strategies to version, make certain and validate the habit and function of complicated dispensed embedded structures. The authors try to bridge the space among the 3 disciplines of model-based layout, real-time research and model-driven improvement, for a greater knowing of the ways that new improvement flows might be built, going from system-level modeling to the proper and predictable new release of a allotted implementation, leveraging present and destiny learn results.

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Extra info for Embedded Systems Development: From Functional Models to Implementations

Example text

The proposed communication system is implemented on an NI PXI Express platform shown in Fig. 6, where the transmitter and receiver consist of the following four main components: (a) PXIe-8133 Real-time controller 2 Modeling, Analysis, and Implementation of Streaming Applications 33 Fig. 11a/b/g compliant 40 MHz RF transceiver. 7 shows the transmitter and receiver block diagram of the various signal processing tasks. , the transmitter Data Bit Generation block (programmed using LabVIEW Realtime) executes on the PXIe-8133 real-time controller, while the higher rate 512 IFFT with 128 CP Insertion block (programmed using DSP Design Module) executes on the PXIe-7965R FPGA module.

However, LabVIEW FPGA only supports the Homogeneous Static Dataflow (HSDF) model of computation, which does not natively capture streaming multi-rate computations. Furthermore, it requires explicit specification of cycle-level behavior for generating efficient hardware. System Generator from Xilinx is another related offering that supports FPGA implementations of synchronous reactive and discrete time models of computation [14]. However, these models are not suitable for data driven streaming specifications that are better expressed in dataflow.

1 Introduction As embedded processing platforms become increasingly diverse, designers must evaluate trade-offs among different kinds of devices such as CPUs, graphics processing units (GPUs), multicore programmable digital signal processors (PDSPs), and field programmable gate arrays (FPGAs). , see [1]). Such heterogeneous platforms help designers to simultaneously achieve manageable cost, high power efficiency, and high performance for critical operations. However, there is a large gap from the simulation phase to the final implementation.

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Embedded Systems Development: From Functional Models to Implementations by Alberto Sangiovanni-Vincentelli, Haibo Zeng, Marco Di Natale, Peter Marwedel

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