rtesbench: A Multi-core Benchmark Framework for Real-Time Embedded Systems
With the increasing demand for performance, multi-core hardware and RTOSs are being increasingly adopted in embedded systems. These modern embedded systems are exhibiting differentiated features in various aspects, such as hardware architecture and RTOS design. However, traditional benchmark tools struggle to evaluate the performance of multi-core systems effectively. To enable the evaluation of highly diversified multi-core embedded systems, we designed a multi-core specialized benchmark framework that assesses multi-core performance characteristics, including multi-core contention and RTOS design factors, across different target systems. Using this framework, we implemented multi-core benchmarks on three distinct yet representative embedded systems, each with unique characteristics. The evaluation not only allowed us to successfully capture their multi-core performance characteristics, but also helped us identify performance bottlenecks caused by specific design features.
Tue 17 JunDisplayed time zone: Seoul change
10:30 - 11:50 | |||
10:30 20mTalk | rtesbench: A Multi-core Benchmark Framework for Real-Time Embedded Systems LCTES DOI | ||
10:50 20mTalk | ASC-Hook: Efficient System Call Interception for ARM LCTES Yang Shen National University of Defense Technology, Min Xie National University of Defense Technology, Tao Wu Changsha University of Science and Technology, Wenzhe Zhang National University of Defense Technology, China, Ruibo Wang National University of Defense Technology, Gen Zhang National University of Defense Technology DOI | ||
11:10 20mTalk | SSFFT: Energy-Efficient Selective Scaling for Fast Fourier Transform in Embedded GPUs LCTES Dongwon Yang Korea University, Jaebeom Jeon Korea University, Minseong Gil Korea University, Junsu Kim Korea University, Seondeok Kim Korea University, Gunjae Koo Korea University, Myung Kuk Yoon Ewha Womans University, Yunho Oh Korea University DOI | ||
11:30 20mTalk | vNV-Heap: An Ownership-Based Virtually Non-volatile Heap for Embedded Systems LCTES Markus Elias Gerber Friedrich-Alexander-Universität Erlangen-Nürnberg, Luis Gerhorst Friedrich-Alexander-Universität Erlangen-Nürnberg, Ishwar Mudraje Saarland University, Kai Vogelgesang Saarland University, Thorsten Herfet Saarland University, Peter Wägemann Friedrich-Alexander University Erlangen-Nürnberg (FAU) DOI | ||