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GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model
(2017)Procedia Computer SciencePath planning is one of the key functional blocks for autonomous vehicles constantly updating their route in real-time. Heterogeneous many-cores are appealing candidates for its execution, but the high degree of resource sharing results in very unpredictable timing behavior. The predictable execution model (PREM) has the potential to enable the deployment of real-time applications on top of commercial off-the-shelf (COTS) heterogeneous ...Conference Paper -
Combining PREM compilation and ILP scheduling for high-performance and predictable MPSoC execution
(2018)Proceedings of the 9th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM 2018)Conference Paper -
Mixed-data-model heterogeneous compilation and OpenMP offloading
(2020)CC 2020: Proceedings of the 29th International Conference on Compiler ConstructionConference Paper -
HePREM: Enabling Predictable GPU Execution on Heterogeneous SoC
(2018)2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)Conference Paper -
On the Cost of Freedom From Interference in Heterogeneous SoCs
(2018)Proceedings of the 21st International Workshop on Software and Compilers for Embedded Systems (SCOPES)Conference Paper -
A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores
(2020)LCTES '20: The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded SystemsConference Paper -
GPUguard: Towards supporting a predictable execution model for heterogeneous SoC
(2017)Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017Conference Paper -
Taming Data Caches for Predictable Execution on GPU-based SoCs
(2019)Proceedings of the 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)Conference Paper