Predictable composition of memory accesses on many-core processors

International audienceThe use of many-core COTS processors in safety critical embedded systems is a challenging research topic. The predictable execution of several applications on those processors is not possible without a precise analysis and mitigation of the possible sources of interference. In this paper, we identify the external DDR-SDRAM and the Network on Chip to be the main bottlenecks for both average performance and predictability in such platforms. As DDR-SDRAM memories are intrinsically stateful, the naive calculation of the Worst-Case Execution Times (WCETs) of tasks involves a significantly pessimistic upper-bounding of the memory access latencies. Moreover, the worst-case end-to-end delays of wormhole switched networks cannot be bounded without strong assumptions on the system model because of the possibility of deadlock. We provide an analysis of each potential source of interference and we give recommendations in order to build viable execution models enabling efficient composable computation of worst-case end-to-end memory access latencies compared to the naive worst-case-everywhere approach

CoCoSim, a code generation framework for control/command applications An overview of CoCoSim for multi-periodic discrete Simulink models

International audienceWe present CoCoSim, a framework to support the design, code generation and analysis of discrete dataflow model expressed in Simulink. In this work, we specifically focus on the analysis and code generation of multi-periodic systems. For that CoCoSim provides two complementary approaches: the first amounts to encode the multi-periodic semantics in a pure-synchronous one-à la Lustre-, enabling the use of model checker for verifying properties. The second provides a faithful code generation into multiple communicating (mono)synchronous components-à la Prelude-that can be then simulated or embedded in the final platform with any real-time scheduler. These approaches have been experimented in various settings