Optimal Memory Allocation and Scheduling for DMA Data Transfers under the LET Paradigm

The Logical Execution Time (LET) paradigm is increasingly used to achieve predictable communications in modern multicore automotive applications. Direct Memory Access (DMA) engines can perform the data copies that are needed in a LET implementation on behalf of the cores with improved parallelism an...

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Veröffentlicht in:2021 58th ACM/IEEE Design Automation Conference (DAC) S. 1171 - 1176
Hauptverfasser: Pazzaglia, Paolo, Casini, Daniel, Biondi, Alessandro, Natale, Marco Di
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 05.12.2021
Schlagworte:
Automotive applications
Data transfer
Design automation
Mixed integer linear programming
Multicore processing
Parallel processing
Protocols
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Zusammenfassung:The Logical Execution Time (LET) paradigm is increasingly used to achieve predictable communications in modern multicore automotive applications. Direct Memory Access (DMA) engines can perform the data copies that are needed in a LET implementation on behalf of the cores with improved parallelism and reduced overheads. However, each DMA transfer operates on contiguous memory areas, and the performance is strongly dependent on the allocation in memory of the variables to be copied. This paper proposes a protocol to perform LET communications with a DMA and presents an optimal memory allocation scheme and scheduling using a mixed-integer linear programming formulation. Experimental results are reported to compare the performance of different communication approaches.
DOI:10.1109/DAC18074.2021.9586200