By Sunggu Lee
This textbook is meant to function a realistic advisor for the layout of complicated electronic common sense circuits akin to electronic keep an eye on circuits, community interface circuits, pipelined mathematics devices, and RISC microprocessors. it's a complicated electronic common sense layout textbook that emphasizes using synthesizable VHDL code and gives a number of absolutely worked-out functional layout examples together with a common Serial Bus interface, a pipelined multiply-accumulate unit, and a pipelined microprocessor for the ARM THUMB structure.
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In: Proceedings of the 49th annual design automation conference, DAC ’12, pp. 656–663. ACM, New York, USA (2012) 30. : Correct and non-defensive glue design using abstract models. In: Proceedings of the seventh IEEE/ACM/IFIP international conference on hardware/software codesign and system synthesis, CODES+ISSS ’11, pp. 59–68. ACM, New York, USA (2011) 31. : Analysis techniques for static dataflow models with access patterns. In: Proceedings of the 2012 conference on design and architectures for signal and image processing, DASIP ’12 (2012) 2 Modeling, Analysis, and Implementation of Streaming Applications 39 32.
S. edu A. Sangiovanni-Vincentelli et al. 1007/978-1-4614-3879-3_3, © Springer Science+Business Media New York 2014 41 42 Z. Zhou et al. with case studies on CPU/GPU and multicore PDSP designs that are geared towards fast simulation, quick transition from simulation to the implementation, high performance implementation, and power-efficient acceleration, respectively. 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, 2]). These applications often require real-time processing capabilities and have critical performance constraints. Dataflow provides a formal mechanism for specifying DSP applications, imposes minimal data-dependency constraints in specifications, and is effective in exposing and exploiting task or data level parallelism for achieving high performance implementations. A dataflow graph is a directed graph, where vertices (actors) represent computational functions (actors), and edges represent first-in-first-out (FIFO) channels for storing data values (tokens) and imposing data dependencies between actors.