Tiling multidimensional iteration spaces for nonshared memory machines
Proceedings of the 1991 ACM/IEEE conference on Supercomputing
Achieving Full Parallelism Using Multidimensional Retiming
IEEE Transactions on Parallel and Distributed Systems
Optimal Data Scheduling for Uniform Multidimensional Applications
IEEE Transactions on Computers
Loop tiling for parallelism
ICS '01 Proceedings of the 15th international conference on Supercomputing
Custom Memory Management Methodology: Exploration of Memory Organisation for Embedded Multimedia System Design
High Performance Compilers for Parallel Computing
High Performance Compilers for Parallel Computing
Two-dimensional orthogonal tiling: from theory to practice
HIPC '96 Proceedings of the Third International Conference on High-Performance Computing (HiPC '96)
A compiler-based approach for dynamically managing scratch-pad memories in embedded systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
SPMTM: A Novel ScratchPad Memory Based Hybrid Nested Transactional Memory Framework
APPT '09 Proceedings of the 8th International Symposium on Advanced Parallel Processing Technologies
Improving scratchpad allocation with demand-driven data tiling
CASES '10 Proceedings of the 2010 international conference on Compilers, architectures and synthesis for embedded systems
Towards data tiling for whole programs in scratchpad memory allocation
ACSAC'07 Proceedings of the 12th Asia-Pacific conference on Advances in Computer Systems Architecture
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Most previous studies on tiling concentrate on iteration space only for cache-based memory systems. However, more and more real-time embedded systems are adopting Scratch-Pad Memories (SPMs) which emphasize on the management of data flow through data-oriented tiling. In this paper, we analyze the relationships between iteration space I and data space D, proposing a preliminary classification based on subscript functions. An important real-life application, matrix multiply, is selected to illustrate how we combine the mismatched iteration space tiling with data space tiling for optimal solutions.