we will use Field Programmable Arrays (FPGA) as fine-grained abstraction of VLSI for practical implementation.Digital audio, speech recognition, cable modems, radar, high-definition television-these are but a few of the modern computer and communications applications relying on digital signal processing (DSP) and the attendant application-specific integrated circuits (ASICs).we draw inspiration from consumer applications, such as digital TV, 3D TV, image processing, mobile phones, etc.we assume that parallelism is by design (not by compilation).we focus on fine-grained parallelism (not on networks of computers).to acquire skills in the design of parallel computations and in their implementation on FPGAs.Ĭontents: Massive parallelism is needed to exploit the huge and still increasing computational capabilities of Very Large Scale Integrated (VLSI) circuits.In this course:.to acquire insight in the (future) capabilities of VLSI as an implementation medium of parallel computations.
Messerschmitt, Pipeline Interleaving and Parallelism in Recursive Digital Filters - Part I: Pipelining Using Scattered Look-Ahead and Decomposition. Journal of VLSI Signal Processing, 9, 121-143 (1995), Kluwer Academic Publishers, Boston. Parhi, High-Level Algorithm and Architecture Transformations for DSP Synthesis. same (local copies): Parhi2.pdf, Parhi3.pdf, Parhi4.pdf, Parhi5.pdf, Parhi6.pdf, Parhi7.pdf, Parhi8.pdf, Parhi9.pdf, Parhi10.pdf, Parhi11.pdf, Parhi13.pdf, Parhi14.pdf, Parhi15.pdf, Parhi16.pdf, Parhi17.pdf, Parhi18.pdf.
VLSI Digital Signal Processing Systems, Design and Implementation.
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