2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)最新文献_第4页

Using VLIW softcore processors for image processing applications 使用VLIW软核处理器进行图像处理应用

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) Pub Date : 2015-07-19 DOI: 10.1109/SAMOS.2015.7363691

J. Hoozemans, Stephan Wong, Z. Al-Ars

引用次数: 19

Towards self-adaptive MPSoC systems with adaptivity throttling 基于自适应节流的自适应MPSoC系统研究

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) Pub Date : 2015-07-19 DOI: 10.1109/SAMOS.2015.7363671

W. Quan, A. Pimentel

{"title":"Towards self-adaptive MPSoC systems with adaptivity throttling","authors":"W. Quan, A. Pimentel","doi":"10.1109/SAMOS.2015.7363671","DOIUrl":"https://doi.org/10.1109/SAMOS.2015.7363671","url":null,"abstract":"Today's multi-processor system-on-chip (MPSoC) systems increasingly have to deal with dynamically changing application workload scenarios. To cope with such dynamic application behavior, these systems could dynamically adapt the mapping of application tasks onto the underlying system resources to improve the system's performance. However, such performance improvement comes at the cost of a system reconfiguration in which application tasks may have to be migrated between processors. This trade-off implies that reconfiguring the system is only beneficial when the performance gains outweight the re-configuration overhead. To address this problem for MPSoCs, this paper presents a scenario-based run-time resource management framework with the ability of adaptivity throttling that uses the history of application scenario execution behavior to predict the actual benefit of a system reconfiguration to allow for explicitly deciding (at runtime) whether or not to reconfigure. Experimental results reveal that our proposed approach substantially improves the system's efficiency as compared to MPSoCs that do not provide such intelligent reconfiguration control.","PeriodicalId":346802,"journal":{"name":"2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122441610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

The AXIOM project (Agile, eXtensible, fast I/O Module) AXIOM项目(敏捷、可扩展、快速I/O模块)

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) Pub Date : 2015-07-19 DOI: 10.1109/SAMOS.2015.7363684

D. Theodoropoulos, D. Pnevmatikatos, C. Álvarez, E. Ayguadé, Javier Bueno, Antonio Filgueras, Daniel Jiménez-González, X. Martorell, N. Navarro, Carlos Segura, Carles Fernández, David Oro, J. Saeta, Paolo Gai, A. Rizzo, R. Giorgi

引用次数: 19

Improving accuracy of source level timing simulation for GPUs using a probabilistic resource model 利用概率资源模型提高gpu源级时序仿真的精度

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) Pub Date : 2015-07-19 DOI: 10.1109/SAMOS.2015.7363655

Christoph Gerum, W. Rosenstiel, O. Bringmann

引用次数: 1

Framework for parameter analysis of FPGA-based image processing architectures 基于fpga的图像处理体系结构参数分析框架

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) Pub Date : 2015-07-19 DOI: 10.1109/SAMOS.2015.7363664

M. Reichenbach, B. Pfundt, D. Fey

{"title":"Framework for parameter analysis of FPGA-based image processing architectures","authors":"M. Reichenbach, B. Pfundt, D. Fey","doi":"10.1109/SAMOS.2015.7363664","DOIUrl":"https://doi.org/10.1109/SAMOS.2015.7363664","url":null,"abstract":"Image processing algorithms which only work on a local neighbourhood are nearly used in every image processing application. Very often several iterations are performed on a fixed neighbourhood which leads to the description of stencil codes. A promising approach in embedded systems is to use the massively parallel computation power of an FPGA for this kind of algorithms. This not only speeds up processing time, if the FPGA is directly placed inside the image acquisition unit forming a smart camera, but also reduces or even eliminates the PC based hardware which saves space and power. However, most designers begin from scratch when they have to implement stencil computations into smart cameras. This leads to a not fully utilized FPGA because the most efficient usage of the given resources is only secondary alongside functional correctness. Therefore, we are presenting in this paper a framework for stencil code applications which immediately delivers the best architecture regarding prominent resource criteria. An analytical model is used to find an optimized parameter set (degree of parallelism, usage of buffers, etc.) for a highly flexible FPGA implementation. A graphical tool allows to further evaluate the effects of certain parameters. Our results show, that we are able to create an optimized hardware architecture for this application domain.","PeriodicalId":346802,"journal":{"name":"2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114998396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Efficient distribution of Triggered Synchronous Block Diagrams on asynchronous platforms 异步平台上触发同步方框图的有效分布

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) Pub Date : 2015-07-19 DOI: 10.1109/SAMOS.2015.7363666

Yang Yang, S. Tripakis, A. Sangiovanni-Vincentelli

{"title":"Efficient distribution of Triggered Synchronous Block Diagrams on asynchronous platforms","authors":"Yang Yang, S. Tripakis, A. Sangiovanni-Vincentelli","doi":"10.1109/SAMOS.2015.7363666","DOIUrl":"https://doi.org/10.1109/SAMOS.2015.7363666","url":null,"abstract":"As the complexity of embedded systems rapidly increases in terms of both scale and functionality, there has been a strong interest in design languages and methodologies that facilitate the use of formal methods. These languages and methodologies are mostly based on a synchronous paradigm that, while satisfies the need for formalization, often results in an inefficient implementation requiring substantial overhead when compared to approaches that do not enforce synchronicity on the execution platform. Therefore, the interest is high for techniques that on one hand, maintain the formal properties of synchronous models, and on the other hand, enable the use of asynchronous and distributed execution platforms with little overhead. In this paper, we propose an approach for efficient distribution of Triggered Synchronous Block Diagrams (SBDs) on asynchronous platforms while preserving the correct semantics. Compared to previous work that utilizes trigger elimination, our approach aims to reduce the unnecessary communication overhead and thus improve the efficiency of the implementation. We consider both general Triggered SBDs where the values of triggers are dynamically computed, as well as Timed SBDs where triggers are statically known and usually specified by (period, initial phase) pairs.","PeriodicalId":346802,"journal":{"name":"2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115741848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

ESL power estimation using virtual platforms with black box processor models 使用带有黑盒处理器模型的虚拟平台进行ESL功率估计

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) Pub Date : 2015-07-19 DOI: 10.1109/SAMOS.2015.7363698

Stefan Schürmans, Gereon Onnebrink, R. Leupers, G. Ascheid, Xiaotao Chen

引用次数: 12

Experiences in speeding up computer vision applications on mobile computing platforms 有在移动计算平台上加速计算机视觉应用的经验

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) Pub Date : 2015-07-19 DOI: 10.1109/SAMOS.2015.7363653

Luna Backes, Alejandro Rico, Björn Franke

{"title":"Experiences in speeding up computer vision applications on mobile computing platforms","authors":"Luna Backes, Alejandro Rico, Björn Franke","doi":"10.1109/SAMOS.2015.7363653","DOIUrl":"https://doi.org/10.1109/SAMOS.2015.7363653","url":null,"abstract":"Computer vision (CV) is widely expected to be the next big thing in mobile computing. The availability of a camera and a large number of sensors in mobile devices will enable CV applications that understand the environment and enhance people's lives through augmented reality. One of the problems yet to solve is how to transfer demanding state-of-the-art CV algorithms -designed to run on powerful desktop computers with several GPUs- onto energy-efficient, but slow, processors and GPUs found in mobile devices. To accommodate to the lack of performance, current CV applications for mobile devices are simpler versions of more complex algorithms, which generally run slowly and unreliably and provide a poor user experience. In this paper, we investigate ways to speed up demanding CV applications to run faster on mobile devices. We selected KinectFusion (KF) as a representative CV application. The KF application constructs a 3D model from the images captured by a Kinect. After porting it to an ARM platform, we applied several optimisation and parallelisation techniques using OpenCL to exploit all the available computing resources. We evaluated the impact on performance and power and demonstrate a 4× speedup with just a 1.38× power increase. We also evaluated the performance portability of our optimisations by running on a different platform, and assessed similar improvements despite the different multi-core configuration and memory system. By measuring processor temperature, we found overheating to be the main limiting factor for running such high-performance codes on a mobile device not designed for full continuous utilisation.","PeriodicalId":346802,"journal":{"name":"2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)","volume":"22 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114124788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Platform-aware dynamic data type refinement methodology for radix tree Data Structures 基树数据结构的平台感知动态数据类型细化方法

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) Pub Date : 2015-07-19 DOI: 10.1109/SAMOS.2015.7363662

Thomas Papastergiou, Lazaros Papadopoulos, D. Soudris

引用次数: 3

HARPA: Solutions for dependable performance under physically induced performance variability HARPA:在物理诱发的性能变化下提供可靠性能的解决方案

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) Pub Date : 2015-07-19 DOI: 10.1109/SAMOS.2015.7363685

D. Rodopoulos, S. Corbetta, G. Massari, Simone Libutti, F. Catthoor, Yiannakis Sazeides, C. Nicopoulos, A. Portero, Etienne Cappe, R. Vavrík, V. Vondrák, D. Soudris, Federico Sassi, A. Fritsch, W. Fornaciari

{"title":"HARPA: Solutions for dependable performance under physically induced performance variability","authors":"D. Rodopoulos, S. Corbetta, G. Massari, Simone Libutti, F. Catthoor, Yiannakis Sazeides, C. Nicopoulos, A. Portero, Etienne Cappe, R. Vavrík, V. Vondrák, D. Soudris, Federico Sassi, A. Fritsch, W. Fornaciari","doi":"10.1109/SAMOS.2015.7363685","DOIUrl":"https://doi.org/10.1109/SAMOS.2015.7363685","url":null,"abstract":"Transistor miniaturization, combined with the dawn of novel switching semiconductor structures, calls for careful examination of the variability and aging of the computer fabric. Time-zero and time-dependent phenomena need to be carefully considered so that the dependability of digital systems can be guaranteed. Already, architectures contain many mechanisms that detect and correct physically induced reliability violations. In many cases, guarantees on functional correctness come at a quantifiable performance cost. The current paper discusses the FP7-612069-HARPA project of the European Commission and its approach towards dependable performance. This project provides solutions for performance variability mitigation, under the run time presence of fabric variability/aging and built-in reliability, availability and serviceability (RAS) techniques. In this paper, we briefly present and discuss modeling and mitigation techniques developed within HARPA, covering many abstractions of digital system design: from the transistor to the application layer.","PeriodicalId":346802,"journal":{"name":"2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127931880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5