A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelets and subband coding
Unifying data and control transformations for distributed shared-memory machines
PLDI '95 Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation
Data and computation transformations for multiprocessors
PPOPP '95 Proceedings of the fifth ACM SIGPLAN symposium on Principles and practice of parallel programming
Improving data locality with loop transformations
ACM Transactions on Programming Languages and Systems (TOPLAS)
Non-singular data transformations: definition, validity and applications
ICS '97 Proceedings of the 11th international conference on Supercomputing
Computer architecture (2nd ed.): a quantitative approach
Computer architecture (2nd ed.): a quantitative approach
Augmenting Loop Tiling with Data Alignment for Improved Cache Performance
IEEE Transactions on Computers - Special issue on cache memory and related problems
A compiler technique for improving whole-program locality
POPL '01 Proceedings of the 28th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Cache conscious data layout organization for embedded multimedia applications
Proceedings of the conference on Design, automation and test in Europe
Loop Transformations for Restructuring Compilers: The Foundations
Loop Transformations for Restructuring Compilers: The Foundations
Custom Memory Management Methodology: Exploration of Memory Organisation for Embedded Multimedia System Design
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Reuse Distance-Based Cache Hint Selection
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
Assigning Program and Data Objects to Scratchpad for Energy Reduction
Proceedings of the conference on Design, automation and test in Europe
Data Reuse Exploration Techniques for Loop-Dominated Applications
Proceedings of the conference on Design, automation and test in Europe
Reducing 3D Fast Wavelet Transform Execution Time Using Blocking and the Streaming SIMD Extensions
Journal of VLSI Signal Processing Systems
Global memory optimisation for embedded systems allowed by code duplication
SCOPES '05 Proceedings of the 2005 workshop on Software and compilers for embedded systems
Compiler-directed scratch pad memory optimization for embedded multiprocessors
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on the 2002 international symposium on low-power electronics and design (ISLPED)
Line-based, reduced memory, wavelet image compression
IEEE Transactions on Image Processing
Optimal memory organization for scalable texture codecs in MPEG-4
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
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Future dynamic applications will require new mapping strategies to deliver power-efficient performance. Fully static design-time mappings will not be able to optimally address the unpredictably varying application characteristics and system resource requirements. Instead, the platforms will not only need to be programmable in terms of instruction set processors, but also at least partial reconfigurability will be required, while the applications themselves will need to exploit this increased freedom at runtime to adapt to the dynamism. In this context, it is important for applications to optimally exploit the memory hierarchy under varying memory availability. This article presents an analysis of spatial locality trade-offs in wavelet-based applications, to be used in dynamic execution environments: Depending on the encountered runtime conditions, the execution switches to different memory optimized instantiations or localizations, optimally exploiting temporal and spatial locality under these conditions. This is enabled by systematic mapping guidelines, indicating how the miss-rate behavior of a localization is influenced by a specific execution condition, under which conditions a certain localization is optimal and which miss-rate gains may be obtained by switching to that localization.