Titlebook: Code Generation for Embedded Processors; Peter Marwedel,Gert Goossens Book 2002 Springer Science+Business Media New York 2002 CAD.Hardware

Manifest

https://doi.org/10.1007/978-0-387-69933-2erable impact on the performance of the designed systems. We introduce an automata-theoretic model of (local) microcode generation for basic blocks, and propose a practical solution to this optimization problem. Our method can be integrated into various design flows that use retargetable code generation.

Amnesty

GUISE

巫婆

: Retargetable Code Generation for Embedded DSP Processors on a mixed behavioural/structural processor representation model, which can account for many architectural peculiarities that are typical for fixed-point DSP processors. In addition, the code generator is employing a number of efficient optimisation techniques. These features result in highly optimal machine code.

dearth

Chandelier

Local Microcode Generation in System Designerable impact on the performance of the designed systems. We introduce an automata-theoretic model of (local) microcode generation for basic blocks, and propose a practical solution to this optimization problem. Our method can be integrated into various design flows that use retargetable code generation.

FIR

Code Generation Based on Trellis Diagramstegrates the highly interdependent tasks of scheduling, register allocation, and instruction selection. The trellis diagram concept is particularly useful when generating code for heterogeneous register set machines. It has been successfully applied to implement compilers for general purpose digital signal processors.

極少

Amenable

Lecture Notes in Computer Sciencelected architecture and design-entry formalism allow efficient code generation in the near future, because these issues determine the success or failure of the introduction of a high-level language based methodology of DSP systems-on-chip. In addition, we present our view on the code generation problem itself.

adipose-tissue

Securing Biometrics Applications this problem by combining code selection, register allocation, and instruction scheduling into a unified framework in which trade-offs between the functional, register, interconnect and memory bandwidth resources of the target architecture are made “on the fly” in response to changing resource constraints and availability.