the proceedings contain 74 papers. the topics discussed include: runahead cache misses using bloom filter;performance and portability studies with OpenACC accelerated version of GTC-P;outer-loop auto-vectorization for...
ISBN:
(纸本)9781509050819
the proceedings contain 74 papers. the topics discussed include: runahead cache misses using bloom filter;performance and portability studies with OpenACC accelerated version of GTC-P;outer-loop auto-vectorization for SIMD architectures based on open64 compiler;on routing of multiple concurrent user requests in multi-radio multi-channel wireless mesh networks;managing broadband access network with a SDN-based system;efficient scheduling strategy for mobile charger in wireless rechargeable sensor networks;efficient data retrieval algorithm for multi-request in multi-antenna wireless networks;accurate evaluation of bivariate polynomials;bilateral sampling randomized singular value decomposition;mePaaS: mobile-embedded platform as a service for distributing fog computing to edge nodes;a survey of challenging issues and approaches in mobile cloud computing;energy efficient scheduling of realtime tasks on large systems;energy aware scheduling on heterogeneous multiprocessors with DVFS and duplication;green-aware online resource allocation for geo-distributed cloud data centers on multi-source energy;optimal scheduling algorithm of MapReduce tasks based on QoS in the hybrid cloud;towards an efficient maintenance of address space overflow for array based storage system;making user-level VMM for deterministic parallelism nonblocking and efficient;depth feature based accurate saliency detection for 3D images;and a variable Markovian based outlier detection method for multi-dimensional sequence over data stream.
3D graphical functions in cars enjoy growing popularity. For instance, analog instruments of the instrument cluster are replaced by digital 3D displays as shown by Mercedes-Benz in the F125 prototype car. the trend to...
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3D graphical functions in cars enjoy growing popularity. For instance, analog instruments of the instrument cluster are replaced by digital 3D displays as shown by Mercedes-Benz in the F125 prototype car. the trend to use 3D applications expands into two directions: towards more safety-relevant applications such as the speedometer and towards third-party applications, e.g., from an app store. In order to save cost, energy, and installation space, all these applications should share a single GPU. GPU sharing brings up the problem of providing real-time guarantees for rendering content of time-sensitive applications like the speedometer. To solve this problem, we present a real-time GPU scheduling framework which provides strong guarantees for critical applications while still giving as much GPU resources to less important applications as possible, thus ensuring a high GPU utilization. Since current GPUs are not preemptible, we use the estimated execution time of each GPU rendering job to make the scheduling decisions. Our evaluations show that our scheduler guarantees given real-time constraints, while achieving a high GPU utilization of 97%. Moreover, scheduling is performed highly efficient in real-time with less than 10 μs latency.
A context model plays a significant role in developing context-aware architectures and consequently on realizing context-awareness, which is important in today's dynamic computing environments. these architectures...
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ISBN:
(纸本)9781509048526
A context model plays a significant role in developing context-aware architectures and consequently on realizing context-awareness, which is important in today's dynamic computing environments. these architectures monitor and analyse their environments to enable context-aware applications to effortlessly and appropriately respond to users' computing needs. these applications make the use of computing devices intuitive and less intrusive. A context model is an abstract and simplified representation of the real world, where the users and their computing devices interact. It is through a context model that knowledge about the real world can be represented in and reasoned by a context-aware architecture. this paper presents a Knowledge-intensive Context Model (KiCM). KiCM improves the existing context models by including knowledge about more entities that are essential for describing an occurrence of users' real context such as a meeting.
In this paper we evaluate the promise held by low-power embedded architectures to implement SLAM (Simultaneous Localization and Mapping) algorithms. We map and implement 4 SLAM algorithms, that find utility in very di...
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In this paper we evaluate the promise held by low-power embedded architectures to implement SLAM (Simultaneous Localization and Mapping) algorithms. We map and implement 4 SLAM algorithms, that find utility in very different robot applications and autonomous navigation, on an embedded architecture. Our results show that low-power embedded architectures are indeed, sometimes, attractive alternative for some SLAM algorithms. At the same time, efficient software optimizations are mandatory to allow a real-time execution.
the proceedings contain 31 papers. the special focus in this conference is on Self-Organizing Map Learning, Visualization, Neural Gas, Self-Organizing Maps in Neuroscience and Medical applications. the topics include:...
ISBN:
(纸本)9783319285177
the proceedings contain 31 papers. the special focus in this conference is on Self-Organizing Map Learning, Visualization, Neural Gas, Self-Organizing Maps in Neuroscience and Medical applications. the topics include: theoretical and applied aspects of the self-organizing maps;aggregating self-organizing maps with topology preservation;SOM training optimization using triangle inequality;sparse online self-organizing maps for large relational data;a neural gas based approximate spectral clustering ensemble;reliable clustering quality estimation from low to high dimensional data;segment growing neural gas for nonlinear time series analysis;modeling diversity in ensembles for time-series prediction based on self-organizing maps;modular self-organizing control for linear and nonlinear systems;on self-organizing map and rapidly-exploring random graph in multi-goal planning;dimensionality reduction hybridizations with multi-dimensional scaling;local models for learning inverse kinematics of redundant robots;using SOMS to gain insight into human language processing;LVQ and SVM classification of FDG-pet brain data;visualization and practical use of clinical survey medical examination results;self-adjusting reject options in prototype based classification;a study on GMLVQ convex and non-convex regularization;functional representation of prototypes in LVQ and relevance learning;low-rank kernel space representations in prototype learning and dynamic prototype addition in generalized learning vector quantization.
A real-time system should operate correctly within deadlines. A failure in response will lead to loss of human life or a big damage to the property. the systems are sometimes considered only mission critical, with mis...
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ISBN:
(纸本)9781467382878
A real-time system should operate correctly within deadlines. A failure in response will lead to loss of human life or a big damage to the property. the systems are sometimes considered only mission critical, with mission being very expensive. A Mission Critical System needs study realtime software which is highly complex and is vital for the success of the mission. the mission capability depends on this software and proves catastrophic in case of any failure. the software design of real-time system is very complex. To keep in pace with today's modern computing technology the real-time software should adopt new software design methodologies. this paper brings out a comparison of various design methodologies that has evolved over time. the shortcomings of each method to satisfy the requirements of real-time system and the need for a generalized approach as Design patterns.
Communication based passive radar system for civilian applications has great research potential. the current work includes real-time implementation of such a system, which we here named as CommSense. CommSense uses th...
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Communication based passive radar system for civilian applications has great research potential. the current work includes real-time implementation of such a system, which we here named as CommSense. CommSense uses the available channel equalization block of existing communication system to sense the environmental parameters in real-time. this paper illustrates the implementation potential of the system on a hand-held device using open-source Software Defined Radio (SDR) environment.
this paper presents a memory allocation scheme that provides efficient dynamic memory allocation and defragmentation for embeddedsystems lacking a Memory Management Unit (MMU). Using as main criteria the efficiency i...
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this paper presents a memory allocation scheme that provides efficient dynamic memory allocation and defragmentation for embeddedsystems lacking a Memory Management Unit (MMU). Using as main criteria the efficiency in handling both external and internal memory fragmentation, as well as the requirements of soft real-timeapplications in constraint-embeddedsystems, the proposed solution of memory management delivers a more precise memory allocation process. the proposed Adaptive Memory Management Scheme (AMM) maintains a balance between performance and efficiency, withthe objective to increase the amount of usable memory in MMU-less embeddedsystems with a bounded and acceptable timing behavior. By maximizing memory utilization, embeddedsystemsapplications can optimize their performance in time-critical tasks and meet the demands of Internet-of-things (IoT) solutions, without undergoing memory leaks and unexpected failures. Its use requires no hardware MMU, and requires few or no manual changes to application software. the proposed scheme is evaluated providing encouraging results regarding performance and reliability compared to the default memory allocator. Allocation of fixed and random size blocks delivers a speedup ranging from 2x to 5x over the standard GLIBC allocator, while the de-allocation process is only 20% percent slower, but provides a perfect (0%) defragmented memory.
It requires a great deal of computation to compute real-time depth information through imaging technology. It would not meet the needs of real-timecomputing if software computations only performed by ARM embedded pro...
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ISBN:
(纸本)9781509024629
It requires a great deal of computation to compute real-time depth information through imaging technology. It would not meet the needs of real-timecomputing if software computations only performed by ARM embedded processor collocated withembedded Linux operating system. this paper uses SoC FPGA from Altera Cyclone V series for the real-time Stereo Vision Capturing System. through the integration of hardware and software, hardware implementations would be conducted by algorithms of heavy computation via VHDL / Verilog, and applications with large elastic demand would be implemented by software SoC, that will help shorten the time of system development and will be beneficial to the efficiency of the implementation. In this paper, depth information of images would be calculated mainly through Sum of Absolute Difference algorithm. Two USB cameras set up in the embedded Linux operating system, developing Video Capturing Software by using V4L2 API, the image data would be transferred to the FPGA memory through AXI Bridges, and the depth image would be obtained by computing with SAD algorithm, then the processed depth information would be synthesized and output to VGA to display. Meanwhile, information would be sent back to the HPS Memory for applications in embedded Linux to read and use. When the real-time video is at a resolution of 640×480, the operating frequency of FPGA is 50MHz, and the time to process an image is up to 140 fps by using Stereo matching algorithm.
the proceedings contain 175 papers. the topics discussed include: MEMS resonator based thermometer SoC Design in CMOS 0.18 μm standard process;a decouple structured gyroscope with integrated readout circuit on standa...
ISBN:
(纸本)9781467393089
the proceedings contain 175 papers. the topics discussed include: MEMS resonator based thermometer SoC Design in CMOS 0.18 μm standard process;a decouple structured gyroscope with integrated readout circuit on standard 0.18μm 1P6M CMOS technology;implementation of RF frequency synthesizer for smart utility network system;a design of dual-band smart tag;design of 28GHz CMOS phased array T/R circuits for 3-dimensional beamforming applications;a study of META-voltage controlled oscillator and prescaler using 65nm CMOS process;approximate stochastic computing (ASC) for image processing applications;design and implementation of multi-mode block adaptive quantizer for synthetic aperture radar;mapping table-based fisheye image correction for low computational complexity;cryptographic coprocessor design for IoT sensor nodes;motion vector smoothing of boundary of moving object for frame rate up-conversion;sharpness-aware real-time haze removal for advanced driver assistance systems;a 1-V 8-bit 0.84uW SAR ADC for biomedical applications;11-bit 1.8uW 40KS/s segmented SAR ADC for sensor applications;36-Gb/s CDR IC using simple passive loop filter combined with passive load in phase detector;and all-synthesizable transmitter driver and data recovery circuit for USB2.0 interface.
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