Execution Platforms Cluster Meeting

ARTIST2 – Execution Platforms Cluster Meeting: Presentations and downloads


  • Presenter: ESI-Jozef Hooman
    Title: Performance Research in the Boderc project
    Abstract: We present an overview of work on performance within the Boderc project. This includes a comparison of performance analysis methods on the radio-navigation system. We also report about industrial performance measurents and modeling. Finally, we mention control strategies, such as event-based
    control, to improve performance.

  • Presenter: ETHZ-Simon Künzli
    Title: Hybrid Approach to System-Level Performance Analysis
    Abstract: In this talk, we will briefly talk about a new, compositional performance evaluation method for embedded systems we developed during the last year. The new method combines existing approaches for system-level performance analysis; a formal method and a simulation-based approach. To enable this combination, we define the interfaces needed between the different performance evaluation methods. As a core of the approach, we propose a method to generate simulation stimuli from analytical models. In addition, we introduce a measure to assess the quality of a generated simulation trace with respect to its analytical description. The combined model was then used for a case study of an application running on a multiprocessor system.

  • Presenter: Linköping- Petru Eles
    Title: ARTIST-Relevant Research from Linköping: latest results
    Abstract: Recent results which are relevant from the point of view of our work in ARTIST will be presented. We will first present our recent results in the context of communication dominated embedded systems In this context we will mention the timing analysis of the FlexRay Communication Protocol and the timing and buffer analysis for NoCs. Then we will briefly present our results in the context of predictability of multiprocessor applications. Here, we are concentrating on two aspects: (1) execution time estimation for multiprocessor systems with shared memory access and (2) predictability in the presence of transient faults.

  • Presenter: UNIFE- Davide Bertozzi
    Title: Communication and I/O architecture for highly integrated MPSoC platforms
    Abstract: As the level of system integration of MPSoC platforms keeps increasing, communication fabrics are evolving to support the communication scalability requirements, while not reverting to revolutionary network-based solutions yet. This results in complex segmented architectures where system performance (and eventually energy) tightly depends on the effectiveness of bus bridges, which are actually becoming true Intellectual Property blocks. At the same time, the I/O architecture is becoming the platform bottleneck, since most of processing data tend to be stored off-chip for storage size and technology reasons. In this presentation, I will illustrate the different performance and architectural requirements posed by the memory controller on the communication infrastructure in order to sustain system performance. Finally, the presentation will highlight the research challenges associated with the optimization of memory controller architecture.

  • Presenter: UPM- Jose L. Ayala
    Title: Low-power and Low-temperature Compilation for Embedded Processors
    Abstract: Advances in process technology allow new embedded devices to run multimedia applications with high computational complexity thanks to Very Large Instruction Word (VLIW) processors and high-performance processors. Also, the continuing advances in semiconductor technology have allowed dramatic performance gains for these archtectures. These improvements are due both to increasing clock rates as well as to advanced support for exploiting instruction-level parallelism and memory locality using the additional transistors available in each process generation. However, as a negative consequence, this causes a significant increase in power dissipation. As technology scales, higher power consumption coupled with smaller< chip area will result in higher power density, which in turn will lead< to higher power temperature on the chip. In fact, extrapolating the changes in microprocessor organization and the device miniaturization, one can project future power density to 200 W/cm2. This requires extensive efforts on cooling techniques which have shown to be complex and highly expensive. In our work, we provide a set of characterization methodologies and compilation-based optimizations which are able to minimize the power consumption and temperature of the device without performance impact. Moreover, traditional source-level transformations have been analyzed and their impact on the thermal behavior of the processor has been evaluated. Finally, this work presents a first attempt to achieve the low-power/low-temperature compilation.

  • Presenter: ETHZ-Clemens Moser
    Title: Power management for solar-driven sensor nodes
    Abstract: Energy harvesting has recently emerged as a viable option to increase the lifetime of sensor nodes. In this field, we have conducted research in order to optimize the energy flow on a sensor node under real-time predictability constraints. The node model we are using consists of three major components: An energy source module, an energy storage module and a processing module. For this scenario, we developed scheduling algorithms which are tailored to the energy-driven nature of this problem. An on-line scheduling algorithm has been constructed (lazy scheduling), which is provably optimal if precise information about the energy resource is available. To this end, both the energy prediction of the energy harvesting module as well as the current energy level of the storage module has to be taken into account. Furthermore, we presented an admittance test that decides for periodic and bursty task sets, whether they can be scheduled without deadline violations. For this purpose, we introduce the concept of energy variability characterization curves (EVCC). Finally, the proposed theory leads to practical techniques for scheduling processes in energy harvesting systems as has been shown in extensive simulation studies.

  • Presenter: UNIURB: Andrea Acquaviva
    Title: Energy Awareness in Batteryless Systems
    Abstract: Environmental energy is becoming a feasible alternative to traditional sources for energy constrained devices such as tiny wireless sensor nodes. To efficiently exploit harvesting energy, innovative management policies must be designed. In this presentation we discuss two examples of energy optimization strategies both in local and network context that show how batteryless devices can profit from environmental energy. First, we present an adaptation strategy based on device reconfiguration that exploits the intrinsic unpredictability of environmental energy to opportunistically trigger task remapping on reconfigurable hardware. Second, we formulate the problem of routing optimization for energy harvesting wireless sensor networks (EHWSNs), where the objective function changes from network lifetime as in battery operated ones, to sustainable workload. We finally present an optimal solution to this problem based on graph algorithms.

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