2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)最新文献

Scalable Dynamic Task Scheduling on Adaptive Many-Core 基于自适应多核的可扩展动态任务调度

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI: 10.1109/MCSoC2018.2018.00037

Vanchinathan Venkataramani, A. Pathania, M. Shafique, T. Mitra, J. Henkel

{"title":"Scalable Dynamic Task Scheduling on Adaptive Many-Core","authors":"Vanchinathan Venkataramani, A. Pathania, M. Shafique, T. Mitra, J. Henkel","doi":"10.1109/MCSoC2018.2018.00037","DOIUrl":"https://doi.org/10.1109/MCSoC2018.2018.00037","url":null,"abstract":"Workloads from autonomous systems project an unprecedented processing demand onto their underlying embedded processors. Workload comprises of an ever-changing mix of multitudes of sequential and parallel tasks. Adaptive many-core processors with their immense yet flexible processing potential are up to the challenge. Adaptive many-core house together tens of base cores capable of forming more complex cores at run-time. Adaptive many-cores, therefore, can accelerate both sequential and parallel tasks whereas non-adaptive many-cores can only accelerate the latter. Adaptive many-cores can also reconfigure themselves to conform to the needs of any workload whereas non-adaptive many-cores - homogeneous or heterogeneous - are inherently limited given their immutable design. The accompanying qualitative schedule is the key to achieving the real potential of an adaptive many-core. The scheduler must move base cores between tasks on the fly to meet the goals of the overlying autonomous system. The scheduler also needs to scale up with the increase in the number of cores in adaptive many-cores without making compromises on the schedule quality. We present a nearoptimal distributed scheduler for maximizing performance on adaptive many-cores. We also introduce an online performance prediction technique for adaptive many-cores that enable the proposed scheduler to operate without any task profiling.","PeriodicalId":413836,"journal":{"name":"2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115686152","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

Freeze-Safe IoT Hibernation using Power Profile Monitor Based on Communication-Centric Auto-Tuning 使用基于以通信为中心的自动调优的电源配置文件监视器的冷冻安全物联网休眠

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI: 10.1109/MCSoC2018.2018.00032

Hyeongyun Moon, Jeonghun Cho, Daejin Park

引用次数: 2

IPRDF: An Isolated Partial Reconfiguration Design Flow for Xilinx FPGAs IPRDF: Xilinx fpga的局部重构设计流程

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI: 10.1109/MCSoC2018.2018.00018

K. Pham, E. Horta, Dirk Koch, Anuj Vaishnav, T. Kuhn

{"title":"IPRDF: An Isolated Partial Reconfiguration Design Flow for Xilinx FPGAs","authors":"K. Pham, E. Horta, Dirk Koch, Anuj Vaishnav, T. Kuhn","doi":"10.1109/MCSoC2018.2018.00018","DOIUrl":"https://doi.org/10.1109/MCSoC2018.2018.00018","url":null,"abstract":"SRAM-based FPGA devices have been used widely in many industrial domains, but only limitedly in secure and safety-critical applications, which have special requirements for the physical implementation, such as module isolation. This is partly due to limited functionality available with current FPGA vendors' tools and flows. To extend FPGA's appearance in secure and safety-critical applications, we propose an alternative flow for isolation design called the Isolated Partial Reconfiguration Design Flow (IPRDF) in this paper. Systems designed by the proposed IPRDF are not only fully isolated but also support partial reconfiguration of insulated modules. This allows building secure and dependable systems that can use partial reconfiguration to mitigate from single-event upsets (SEUs) and that are more tolerant to aging and device imperfections. Further, this also allows information assurance applications to benefit from hardware module isolation and run-time reconfigurability. Case studies on isolated Triple Modular Redundancy (TMR) and single-chip cryptographic (SCC) designs are presented to demonstrate capabilities and advantages of the proposed IPRDF methodology.","PeriodicalId":413836,"journal":{"name":"2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133485899","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: 9

Unifying Wire and Time Scheduling for Highlevel Synthesis 高级综合的统一布线和时间调度

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI: 10.1109/MCSoC2018.2018.00017

Y. Ben-Asher, Irina Lipov

引用次数: 0

Adaptive Genetic Algorithm for Improving Prediction Accuracy of a Multi-Criteria Recommender System 提高多准则推荐系统预测精度的自适应遗传算法

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI: 10.1109/MCSOC2018.2018.00025

Hamada Mohamed, L. Abdulsalam, Hassan Mohammed

{"title":"Adaptive Genetic Algorithm for Improving Prediction Accuracy of a Multi-Criteria Recommender System","authors":"Hamada Mohamed, L. Abdulsalam, Hassan Mohammed","doi":"10.1109/MCSOC2018.2018.00025","DOIUrl":"https://doi.org/10.1109/MCSOC2018.2018.00025","url":null,"abstract":"Recommender systems are software tools used to make valuable recommendations to users. Traditionally, recommender systems use information obtained from ratings of an item by users with similar opinions to make recommendations. A user uses a single rating to represent the degree of likeness of an item in traditional recommender systems. Though this approach has reasonably shown a good prediction accuracy, however, the performance of traditional recommender systems is considered inadequate, as users could have different opinions based on some specific features of an item. Multi-criteria recommendation extends the traditional techniques by incorporating ratings for various attributes of the items. It provides better recommendations for users as the system allows the opportunity for users to specify their preferences based on different attributes of user item, which improves prediction accuracy. In this paper, we proposed an aggregation function based method that uses an adaptive genetic algorithm to efficiently incorporate the criteria ratings for improving the accuracy of the multi-criteria recommender system. We carried out an experiment using a dataset for multi-criteria recommendations of movies to users. The experimental result shows that our proposed approach provides better accuracy than the corresponding traditional technique.","PeriodicalId":413836,"journal":{"name":"2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124016492","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: 8

Light Field Image Coding for Efficient Refocusing 有效重聚焦的光场图像编码

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI: 10.1109/MCSoC2018.2018.00024

V. V. Duong, Thuong Nguyen Canh, B. Jeon

引用次数: 4

A Novel Task-to-Processor Assignment Approach for Optimal Multiprocessor Real-Time Scheduling 一种新的多处理机实时调度任务-处理机分配方法

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI: 10.1109/MCSoC2018.2018.00028

Doan Duy, Kiyofumi Tanaka

{"title":"A Novel Task-to-Processor Assignment Approach for Optimal Multiprocessor Real-Time Scheduling","authors":"Doan Duy, Kiyofumi Tanaka","doi":"10.1109/MCSoC2018.2018.00028","DOIUrl":"https://doi.org/10.1109/MCSoC2018.2018.00028","url":null,"abstract":"Recent decades have recognized the popularization of multiprocessor architectures in real-time embedded systems. Real-time task scheduling in such systems has become a challenging problem as a result. In this paper, we are presenting an optimal scheduling algorithm, which can successfully schedule any task sets with no deadline miss if the total utilization of tasks does not exceed the capacity of the involved system. The proposed algorithm called LLA introduces a so-called fixed task-scheduling plan for every time interval that is defined as the time period between two consecutive job releases. At the beginning of each interval, LAA makes the scheduling plan by predicting tasks' requested amount of execution time within the interval and then arranging these amounts to processors appropriately respecting to requirements of scheduling. By this approach, LAA can extremely reduce the number of scheduler invocations to the number of job releases. Furthermore, simulation results show that our algorithm has lower time complexity while retaining the schedulability, task preemption, and task migration competitive to the existing optimal scheduling algorithms.","PeriodicalId":413836,"journal":{"name":"2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126385335","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: 4

Simplified Quadcopter Simulation Model for Spike-Based Hardware PID Controller using SystemC-AMS 基于SystemC-AMS的基于峰值的硬件PID控制器的简化四轴飞行器仿真模型

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI: 10.1109/MCSoC2018.2018.00016

Shunsuke Mie, Y. Okuyama, Hiroaki Saito

引用次数: 1

A Practical High Efficiency Video Coding Solution for Visual Sensor Network using Raspberry Pi Platform 基于树莓派平台的视觉传感器网络高效视频编码解决方案

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI: 10.1109/MCSoC2018.2018.00022

Thao Nguyen Thi Huong, Huy Phi Cong, Xiem HoangVan, Tien Huu Vu

引用次数: 1

On the Representation of Mappings to Multicores 关于映射到多核的表示

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI: 10.1109/MCSoC2018.2018.00039

Andrés Goens, Christian Menard, J. Castrillón

引用次数: 7