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GPUguard: Towards supporting a predictable execution model for heterogeneous SoC
(2017)Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017Conference Paper -
HePREM: Enabling Predictable GPU Execution on Heterogeneous SoC
(2018)2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)Conference 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 -
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 -
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 -
Analyzing Memory Interference of FPGA Accelerators on Multicore Hosts in Heterogeneous Reconfigurable SoCs
(2021)Proceedings of the 2021 Design, Automation & Test in Europe (DATE 2021)Reconfigurable heterogeneous systems-on-chips (SoCs) integrating multiple accelerators are cost-effective and feature the processing power required for complex embedded applications. However, to enable their usage in real-time settings, it is crucial to control interference on the shared main memory for reliable performance. Interference causes performance degradation due to simultaneous memory requests by components such as CPUs, caches, ...Conference Paper -
A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms
(2022)Lecture Notes in Computer Science ~ Embedded Computer Systems: Architectures, Modeling, and SimulationComputing systems have shifted towards highly parallel and heterogeneous architectures to tackle the challenges imposed by limited power budgets. These architectures must be supported by novel power management paradigms addressing the increasing design size, parallelism, and heterogeneity while ensuring high accuracy and low overhead. In this work, we propose a systematic, automated, and architecture-agnostic approach to accurate and ...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