Uniform techniques for loop optimization
ICS '91 Proceedings of the 5th international conference on Supercomputing
PLDI '91 Proceedings of the ACM SIGPLAN 1991 conference on Programming language design and implementation
Constraint-based array dependence analysis
Constraint-based array dependence analysis
Static and Dynamic Evaluation of Data Dependence Analysis Techniques
IEEE Transactions on Parallel and Distributed Systems
Nonlinear and Symbolic Data Dependence Testing
IEEE Transactions on Parallel and Distributed Systems
Influence of compiler optimizations on system power
Proceedings of the 37th Annual Design Automation Conference
Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
Loop Transformations for Restructuring Compilers: The Foundations
Loop Transformations for Restructuring Compilers: The Foundations
High Performance Compilers for Parallel Computing
High Performance Compilers for Parallel Computing
A Loop Transformation Theory and an Algorithm to Maximize Parallelism
IEEE Transactions on Parallel and Distributed Systems
Minimal Data Dependence Abstractions for Loop Transformations
LCPC '94 Proceedings of the 7th International Workshop on Languages and Compilers for Parallel Computing
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The grade of abstraction (specification level) for designing digital circuits has risen in the recent years from RT over algorithmic up to system level. An ambitious challenge of the EDA is to provide an efficient design space exploration with design-solutions comparable to hand-crafted optimi sations. The accuracy of the legal design space directly influences the efficiency of automatically generable designs. Current Design-Tools do not exploit the freedom that is enabled by array data-flow analysis (ADFA). This paper shows the impact of our ADFA on behavioural synthesis and estimation for the metrics execution-time, area, and energy. Data-flow intensive benchmarks show improvements of up to 12% less energy and 30% less execution-time while area varies by ± 15%.