Theory of linear and integer programming
Theory of linear and integer programming
Storage Management Programmable Process
Storage Management Programmable Process
Storage Size Reduction by In-place Mapping of Arrays
VMCAI '02 Revised Papers from the Third International Workshop on Verification, Model Checking, and Abstract Interpretation
Layer Assignment echniques for Low Energy in Multi-Layered Memory Organisations
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Lattice-Based Memory Allocation
IEEE Transactions on Computers
Hierarchical memory size estimation for loop fusion and loop shifting in data-dominated applications
ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
Formal model of data reuse analysis for hierarchical memory organizations
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Computation of storage requirements for multi-dimensional signal processing applications
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Compiler-guided leakage optimization for banked scratch-pad memories
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Experiences with enumeration of integer projections of parametric polytopes
CC'05 Proceedings of the 14th international conference on Compiler Construction
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Many signal processing systems, particularly in the multimedia and telecom domains, are synthesized to execute data-dominated applications. In such systems, data transfer and storage have a significant impact on both the system performance and the major cost parameters -- power consumption and chip area. This paper presents a software tool for system-level exploration, where several memory management tasks are addressed in a common theoretical framework. The tool can compute the minimum storage requirement of a given application and can produce the graph of storage variation during the code execution; it offers memory allocation and signal assignment solutions both for flat and hierarchical organizations and optimizes the dynamic energy consumption in the memory subsystem.