By Justin Davis
Finite nation computer Datapath layout, Optimization, and Implementation explores the layout house of mixed FSM/Datapath implementations. The lecture begins by way of studying functionality concerns in electronic structures comparable to clock skew and its impact on setup and carry time constraints, and using pipelining for expanding approach clock frequency. this is often by way of definitions for latency and throughput, with linked source tradeoffs explored intimately by using dataflow graphs and scheduling tables utilized to examples taken from electronic sign processing functions. additionally, layout concerns when it comes to performance, interfacing, and function for various different types of thoughts more often than not present in ASICs and FPGAs reminiscent of FIFOs, single-ports, and dual-ports are tested. chosen layout examples are awarded in implementation-neutral Verilog code and block diagrams, with linked layout documents on hand as downloads for either Altera Quartus and Xilinx Virtex FPGA systems. A operating wisdom of Verilog, good judgment synthesis, and easy electronic layout innovations is needed. This lecture is appropriate as a spouse to the synthesis lecture titled creation to common sense Synthesis utilizing Verilog HDL.
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Additional info for Finite State Machine Datapath Design, Optimization, and Implementation
One consequence of this approach is the impact of tR2R through the circuit. Since there are more registers in the design, there are more register-to-register delays to be computed. Sometimes the worst-case tR2R will increase because of this. If the clock frequency is being limited by the pinto-pin delay or the clock-to-output delay, and then those delays are reduced, the clock frequency will still increase if tR2R is not increased by a signiﬁcant amount. If registers are added to the outputs, the worst-case tR2R will usually become the largest delay path of the circuit.
49609375 that is incorrect by one LSb due to the use of the one’s complement to compute 1-F. 25. 8 SIMPLE DATAPATHS AND THE BLEND EQUATION Before designing an example datapath, some terms used in it are deﬁned. The input dataset of a datapath contains the external values required by the datapath to perform the computation. The output dataset of a datapath contains the computational output of the datapath for a given input dataset. For example, the input dataset of the blend equation contains Ca , Cb , and F, while the 42 FINITE STATE MACHINE DATAPATH DESIGN output dataset contains Cnew .
The multiplexer select signal msel is negated in clock cycle 3(i + 1) to pass the Ca, F operands to the multiplier, while msel is asserted in clock cycle i + 1 to select Cb, 1-F as the multiplier operands. As an optimization, register rB could be replaced with DFFs as its contents are only needed in the following clock cycle. The Cnew (i − 1) output value is held stable by the rC register for the duration of the computation; this might be useful if this value is used by a destination datapath. If this is not required, then register rC could also be replaced by DFFs.
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