By Manish Verma, Peter Marwedel
This booklet proposes novel reminiscence hierarchies and software program optimization options for the optimum usage of reminiscence hierarchies. It provides quite a lot of optimizations, gradually expanding within the complexity of research and of reminiscence hierarchies. the ultimate bankruptcy covers optimization suggestions for functions along with a number of procedures present in most up-to-date embedded devices.
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Additional resources for Advanced Memory Optimization Techniques for Low Power Embedded Processors
Therefore, only normalized energy values for the data memory subsystem of the M5 DSP will be reported in this work. The compilation framework for the M5 DSP is similar to that for the uni-processor ARM based system. The only significant difference between the two is that the compiler for the M5 DSP uses a phase coupled code generator . The code generation is divided into four subtasks: code selection (CS), instruction scheduling (IS), register allocation (RA) 30 3 Memory Aware Compilation and Simulation Framework and address code generation (ACG).
The mapping of array A as the last object to the scratchpad (cf. 1) will not result in an optimal solution, as element A[N-1] is accessed far more times than element A. The Frac. SA problem achieves better solutions than the SA problem if the fractionally allocated memory object has uniform valence for each of its elements or is biased towards the scratchpad allocated portion. The computation of a fine grained valence for each memory object was not considered as it is not trivial and requires a significant computation overhead for profiling.
The address location for each memory object is fixed at compile time which then remains invariant or static during the entire execution of the application. Before presenting the formal definition of the allocation problem, we first define the components of a given application that are considered as memory objects. This is necessary because the memory objects represent the finest granularity application fragments which are considered for allocation onto the scratchpad memory. Moreover, the allocation approaches are implemented for three different system architectures.
Advanced Memory Optimization Techniques for Low Power Embedded Processors by Manish Verma, Peter Marwedel