By Michael J. Schulte (auth.), Earl E. Swartzlander Jr. (eds.)
Application particular Processors is written to be used by way of engineers who're constructing really expert platforms (application particular systems).
regularly, such a lot excessive functionality sign processors were learned with program particular processors. the reason is that software particular processors may be adapted to precisely fit the (usually very difficult) software standards. the result's that no `processing strength' is wasted for pointless functions and greatest functionality is accomplished. a drawback is that such processors were pricey to layout in view that each one is a special layout that's personalized to the explicit program.
within the final decade, computer-aided layout platforms were constructed to facilitate the improvement of software particular built-in circuits. The luck of such ASIC CAD platforms means that it may be attainable to streamline the method of program particular processor layout.
Application particular Processors involves 8 chapters which offer a mix of thoughts and examples that relate to software particular processing. The inclusion of recommendations is predicted to signify extra examine and to help people who find themselves confronted with the requirement to enforce effective program particular processors. The examples illustrate the applying of the innovations and reveal the potency that may be completed through program particular processors. The chapters have been written by way of individuals and previous contributors of the applying particular processing workforce on the collage of Texas at Austin. the 1st 5 chapters relate to precise mathematics which regularly is the major to attaining excessive functionality in software particular processors. the subsequent chapters specialise in sign processing structures, and the ultimate bankruptcy examines the interconnection of probably disparate components to create systems.
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Additional info for Application Specific Processors
B. Kearfott, M. Dawande, K. Du, and C. Hu, "A Portable FORTRAN 77 Elementary Function Library," Interval Computations, vol. 3, pp. 96105,1992. 1-32. R. B. Kearfott, M. Dawande, K. Du, and C. Hu, "Algorithm 737: INTLIB: A Portable FORTRAN 77 Interval Standard Function Library," ACM Transactions on Mathematical Software, vol. 20, pp. 447-459, 1994. 1-33. O. Knuppel, "PROFIL/BIAS - A Fast Interval Library," Computing, vol. 53, pp. 277-288, 1994. 1-34. E. Hyvonen and S. D. Pascale, "InC++ Library Family for Interval Computations," International Journal of Reliable Computing.
Modeling Power Consumption Some of the results presented in Table 2-5 are are quite accurate, but others are not very close. The next step is to develop a model for the power dissipation of a gate based on its fanin, fanout, type, transistor sizes, and direction of change (rise or fall). Table 2-5 Adder Type Ripple Carry Majerski Ripple Carry Constant Carry Skip Variable Carry Skip Carry Lookahead Brent and Kung Carry Select Conditional Sum Average Gate Parallel Adder Power. 4 Gate Transitions 90 91 99 108 100 112 150 231 % Error 41 -11 50 32 0 -3 5 15 Figure 2-11 shows the current through the power supply for a switching inverter modeled with CAzM for a minimum-sized inverter with a fanout of 2.
This chapter focuses on the most common multiplier structures, as listed below: • Array [2-32] • Wallace [2-33] and Dadda [2-34] Trees • Booth Recoded Wallace Tree [2-35] • Split Array [2-36]. In general, multiplication can be viewed as repeated shifts and adds. Multiplication can be implemented very easily and simply using only an adder, a shift register, and a small amount of control logic. The advantage of this approach is that it is small. The obvious disadvantage is that it is slow. Not only is it a serial circuit, which will result in delays due to latching, but the number of additions it requires is equal to one minus the number of bits in the operands.