VHDL: A logic synthesis approach by D. Naylor, S. Jones

By D. Naylor, S. Jones

This e-book is established in a pragmatic, example-driven, demeanour. using VHDL for developing common sense synthesisers is likely one of the goals of the e-book; the second one is the appliance of the instruments to the layout procedure. labored examples, questions and solutions are supplied including do and don'ts of excellent perform. An appendix on good judgment layout the resource code can be found at no cost over the net.

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This chapter describes the use of performance counters to keep track of cycles, instructions, cache references, and cache misses. The cycle count will provide information about execution time, the ratio of instructions to cycles will provide CPI, and the ratio of cache misses to references will provide cache miss rate. Note that the total CPI includes the stall cycles from branches, data dependencies, and cache misses, although there is no way to discriminate each type of stall. There is still enough information to make optimization decisions, and understand how our code transformations affect performance.

Count stalls as instructions. 4. Change the following C code to eliminate any unnecessary if-statements that would be encountered during runtime: if ((a[i]<0) jj (a[i]>510)) { if (a[i]550) sum5sum+1; if (a[i]>20) sum5sum+2; } else { if (a[i]555) sum5sum+4; } 5. Translate the following C function to ARM assembly: int reorder (int a) { return (a<<24) j ((a<<16) & 0xFF00) j ((a>>16) & 0xFF0000) j ((a>>24) & 0xFF); } 6. Write a short sequence of ARM instructions that add two 128-bit integers. What is the minimal number of instructions required?

Loop Transformations Cache performance is associated with a program’s memory access locality, but in some cases the locality can be improved without changing the functionality of the program. This usually involves transforming the structure of loops, such as in loop tiling, where the programmer adds additional levels of loops to change the order in which program data is accessed. 3. Heterogeneous Computing Many embedded systems, and even systems-on-a-chip, include integrated coprocessors such as Graphical Processor Units, Digital Signal Processors, or Field Programmable Gate Arrays that can perform specific types of computations faster than the general purpose processors.

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