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Physical synthesis has taken on a number of different forms from various vendors, but ultimately it is the utilization of physical layout information to optimize the synthesis process In other words, by providing either preliminary physical estimates about placement or by performing actual physical layout, the synthesis tool will have better loading models to work with and will be able to optimize a design with information that is very close to the nal implementation The physical synthesis tools that perform preliminary placement will forward annotate the layout information to the back-end place and route tool In some ways, physical synthesis is simpler in the ASIC world than with FPGAs The reason is than because ASICs have exible routing resources, the delays can be statistically estimated based on the distance between the two end points of the route In an FPGA, the routing resources are xed.

TLUT (8, 2) Tmultiplier (2 n) Tfull adder Tsign-bit ,

In order to meet its needs, the Plan s investment strategy is to emphasize total return, that is, the aggregate return from capital appreciation and dividend and interest incomes. The primary objective in the investment management for the Plan s assets is the emphasis on consistent growth, specifically, growth in a manner that protects the Plan s assets from excessive volatility in market value from year to year.

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There will be a number of fast routing resources (usually long lines between major areas of the chip) and a number of slower routing resources (switch matrices) to handle local routing congestion Figure 1420 illustrates a simpli ed view of an abstract routing matrix As can be seen from Figure 1420, there will be a hierarchy of routing resources The low-skew lines will have the ability to carry signals long distances around the FPGA with little delay but are very limited in extent among all logic elements The local routing resources are used to make connections to local resources but are very inef cient in their ability to carry signals for any distance and will be very dependent on congestion in adjacent elements.

(13:10)

Due to the Plan s excellent funded status (in excess of 200 percent), the RPC has determined that the Plan can tolerate more risk and volatility than a less well-funded plan. Any significant deterioration in funded status will reduce the Plan s risk tolerance. Therefore, the RPC will closely monitor the Plan s funded status with the assistance of the investment consultant and will communicate any changes in risk tolerance to the investment manager(s).

Thus, the ability to route between point A and point B will greatly depend on the availability of routing resources near the logic elements and the utilization of these resources For the reasons discussed above, estimating routing delay can be very complex for FPGA synthesis tools This is a major problem with modern FPGAs as routing delays become dominant in smaller geometries Thus, an inaccurate estimate of routing delays can prevent a synthesis tool from optimizing accordingly Physical synthesis provides a solution to this by generating placement information during synthesis..

qt1(p-1) qt0(p-1)

The primary objective for this Plan is to provide long-term capital appreciation through investment in equities and fixed-income securities. Over the investment horizon, it is the goal of the aggregate Plan assets to meet or exceed:

Sharing logic resources oftentimes requires special control circuitry to determine which elements are input to the particular structure. In the previous section, we described a multiplier that simply shifted the bits of each register, where each register was always dedicated to a particular input of the running adder. This had a natural data ow that lent itself well to logic reuse. In other applications, there are often more complex variations to the input of a resource, and certain controls may be necessary to reuse the logic.

qt1(p-2) qt0(p-2)

Controls can be used to direct the reuse of logic when the shared logic is larger than the control logic.

Absolute Actuarial assumption for funding purposes (currently 8.0 percent) Relative Consumer price index plus 5.0 percent Weighted average of benchmark indices ( composite index , see below)

r(p-1) qt1(0) qt0(0)

To determine this variation, a state machine may be required as an additional input to the logic. Consider the following example of a low-pass FIR lter represented by the equation: Y coeffA X 0 coeffB X 1 coeffC X 2

The following asset allocation has been established for the Plan:

r(i)

module lowpassfir( output reg [7:0] filtout, output reg done, input clk, input [7:0] datain, // X[0] input datavalid, // X[0] is valid input [7:0] coeffA, coeffB; coeffC); // coeffs for low pass filter // define input/output samples reg [7:0] X0, X1, X2; reg multdonedelay; reg multstart; // signal to multiplier to begin computation reg [7:0] multdat; reg [7:0] multcoeff; // the registers that are multiplied together reg [2:0] state; // holds state for sequencing through mults reg [7:0] accum; // accumulates multiplier products reg clearaccum; // sets accum to zero reg [7:0] accumsum; wire multdone; // multiplier has completed wire [7:0] multout; // multiplier product // shift-add multiplier for sample-coeff mults mult8 8 mult8 8(.clk(clk), .dat1(multdat), .dat2(multcoeff), .start(multstart), .done(multdone), .multout(multout));

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