Log approximation Sample Clauses

Log approximation. The logarithm of base 2 approximation component was designed based on the implementation presented on [17]: = 1 + 2 , 2 = + 2 1 + = ( + ) + , / − = + , 2 = / − + 2 1 + − This approach was followed as it provided the most efficient implementation with respect to resources utilization and calculation overhead. Also the relative accuracy of this log implementation is about 2.09352e-05. The problem with such relative accuracy is that the error is accumulated in equation (1) leading to more significant error rates of about 1.0564e-2 for large number of bins. Two other methods were also considered and tested for the implementation of logarithm, Xxxxxx Series and Look Up Tables. The LUTs provide relatively good results with respect of accuracy, but is restricted by the BRAM resources. For very large datasets and large number of bins the pdfs take very small values which cannot be addressed by the LUT method. The Xxxxxx Series have about the same restrictions. They provide very good accuracy with small resources utilization only if the inputs are close to a certain value. If a broader input needs to be addressed Xxxxxx Series need a lot of iterations in order to converge, and thus utilizing a lot more resources as Maxeler hardware does not allow an efficient way for feedback/optimization operations and the iterations have to be unrolled.
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  • Cost Estimates If this Agreement pertains to the design of a public works project, CONSULTANT shall submit estimates of probable construction costs at each phase of design submittal. If the total estimated construction cost at any submittal exceeds ten percent (10%) of CITY’s stated construction budget, CONSULTANT shall make recommendations to CITY for aligning the PROJECT design with the budget, incorporate CITY approved recommendations, and revise the design to meet the Project budget, at no additional cost to CITY.

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