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检索条件"任意字段=21st International Symposium on Computer Architecture and High Performance Computing"

共 1767 条记录，以下是91-100 订阅

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Improving virtual machine consolidation for heterogeneous cloud computing datacenters 31

Improving virtual machine consolidation for heterogeneous cl...

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31st international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Magri Rodrigues, Joao Antonio de Oliveira, Fabiola Martins C. Lobato, Renata Spolon Spolon, Roberta Manacero, Aleardo Borin, Edson Sao Paulo State Univ UNESP Dept Comp Sci & Stat Sao Paulo SP Brazil Univ Estadual Campinas Inst Comp Campinas SP Brazil Sao Paulo State Univ UNESP Fac Sci Bauru SP Brazil

ISBN: (纸本)9781728141947

Datacenters in cloud computing systems may consist of thousands of computing nodes and communication devices, requiring virtual machine placement to optimize resources utilization. Heterogeneous environments of current datacenters have not been properly evaluated yet when the number of processing nodes and network devices is considered. This paper presents an approach to place virtual machines to minimize both the number of employed computing nodes and communication costs in heterogeneous environments. We evaluate our results against other known algorithms to show the efficiency of the proposed approach, which outperforms a state-of-the-art algorithm with a result of up to 13% better for network improvement while achieves the same number of computing nodes.

关键词： cloud computing virtual machine placement heterogeneous systems

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A sharing path awareness scheduling algorithm for dataflow architecture 21

A sharing path awareness scheduling algorithm for dataflow a...

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21st IEEE international Conference on high performance computing and Communications, 17th IEEE international Conference on Smart City and 5th IEEE international Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Li, Yi Tan, Xu Xue, Rui Ye, Xiaochun Li, Wenming Wang, Da Zhang, Hao Fan, Dongrui State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728120584

Dataflow architecture has native advantage in achieving high instruction parallelism and power efficiency for today's emerging applications such as high performance computing and machining learning. In dataflow computing, the execution of instructions is driven by data, so the data transfer efficiency of the network on chip (NoC) is a key factor affecting performance. However, the NoC performance is degraded due to the increasing use of multicast communications in many applications. The existing dataflow architecture instruction scheduling algorithm does not optimize multicast communication between the instruction and its successor instructions, so the routing paths of many multicast packets have forks which cause bandwidth waste and potential network congestion. We propose a sharing path awareness (SPA) algorithm to optimize multicast communication in the dataflow architecture. The algorithm shares the routing paths from the instruction to its child node to reduce the NoC bandwidth waste through the instruction scheduler. Compared with the best prior algorithm, SPA algorithm achieves 15.98% average transfer delay reduction and 21.22% average performance improvement for our experimental workloads. © 2019 IEEE.

关键词： Network-on-chip

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Improving data access performance with server push architecture

Improving data access performance with server push architect...

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21st international Parallel and Distributed Processing symposium, IPDPS 2007

作者： Sun, Xian-He Byna, Surendra Chen, Yong Illinois Institute of Technology Department of Computer Science Chicago IL 60616 United States

ISBN: (纸本)1424409101

Data prefetching, where data is fetched before CPU demands for it, has been considered as an effective solution to mask data access latency. However, the current client-initiated prefetching strategies do not work well for applications with complex, non-contiguous data access patterns. While technology advances continue to enlarge the gap between computing and data access performance, trading computing power for data access delay has become a natural choice. We propose a server-based data-push approach. In this server-push architecture, a dedicated server named Data Push Server (DPS) initiates and proactively pushes data closer to the client in time. We present the DPS architecture and study the issues such as what data to fetch, when to fetch, how to push, and data access modeling. © 2007 IEEE.

关键词： Access control

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Power-aware bandwidth-reconfigurable optical interconnects for high-performance computing (HPC) systems

Power-aware bandwidth-reconfigurable optical interconnects f...

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21st international Parallel and Distributed Processing symposium, IPDPS 2007

作者： Kodi, Avinash Karanth Louri, Ahmed Department of Electrical and Computer Engineering University of Arizona Tucson AZ-85721 United States

ISBN: (纸本)1424409101

As communication distances and bit rates increase, opto-electronic interconnects are becoming de-facto standard for designing high-bandwidth low-latency interconnection networks for high performance computing (HPC) systems. While bandwidth scaling with efficient multiplexing techniques (wavelengths, time and space) are available, static assignment of wavelengths can be detrimental to network performance for adversial traffic patterns. Dynamic bandwidth reconfiguration based on actual traffic pattern can lead to improved network performance by utilizing idle resources. While dynamic hand-width re-allocation (DBR) techniques can alleviate interconnection bottlenecks, power consumption also increases considerably. In this paper, we propose a dynamically reconfigurable architecture called E-RAPID (Extended-Reconfigurable, All-Photonic Interconnect for Distributed and parallel systems) that not only dynamically reallocates bandwidth, but also reduces the power consumption for all traffic patterns. Our proposed LS (Lock-step) reconfiguration technique combines Dynamic Power Management (DPM) with DBR techniques, achieving a reduction in power consumption of 25%-50% while degrading the throughput by less than 5%. © 2007 IEEE.

关键词： Optical interconnects

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Phase-Based Tasks Scheduling in Data Centers Powered Exclusively by Renewable Energy 31

Phase-Based Tasks Scheduling in Data Centers Powered Exclusi...

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31st international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Caux, stephane Renaud-Goud, Paul Rostirolla, Gustavo stolf, Patricia Univ Toulouse IRIT F-31062 Toulouse France Univ Toulouse Laplace UMR5213 INPT UPSCNRS Toulouse France

ISBN: (纸本)9781728141947

Data centers are considered nowadays as the factories of the digital age, being currently responsible for consuming more energy than the entire United Kingdom. On the other side, the global total capacity of renewable power increases continuously. The combination of these two factors calls for new approaches in designing data centers powered only by renewable energy sources. Our work focuses on task scheduling optimization under a power envelope, and on the way to handle power starvation, i.e. when the available power does not provide sufficient resources to execute a given workload. To do so we utilize the concept of task degradation through cross-correlation to find where to place the tasks in order to reduce the data center profit degradation. The results show that our algorithm could obtain more than 34% increase in profit when compared to algorithms from the literature, while fulfilling the power profile and resources constraints.

关键词： Scheduling Cloud computing Renewable Energy Mixed Workload

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A Soft Coarse-Grained Reconfigurable Array Based high-level Synthesis Methodology: Promoting Design Productivity and Exploring Extreme FPGA Frequency

A Soft Coarse-Grained Reconfigurable Array Based High-level ...

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21st Annual international IEEE symposium on Field-Programmable Custom computing Machines (FCCM)

作者： Liu, Cheng Yu, Colin Lin So, Hayden Kwok-Hay Univ Hong Kong Dept Elect & Elect Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9780769549699;9781467360050

Compared to the use of a typical software development flow, the productivity of developing FPGA-based compute applications remains much lower. Although the use of high-level synthesis (HLS) tools may partly alleviate this shortcoming, the lengthy low-level FPGA implementation process remains a major obstacle to high productivity computing, limiting the number of compile-debug-edit cycles per day. Furthermore, high-level application developers often lack the intimate hardware engineering experience that is needed to achieve high performance on FPGAs, therefore undermining their usefulness as accelerators. To address these productivity and performance problems, a high-level synthesis methodology that utilizes soft coarse-grained reconfigurable arrays (SCGRAs) as an intermediate compilation step is presented. Instead of compiling high-level applications directly as circuits implemented on the FPGA, the compilation process is reduced to an operation scheduling task targeting the SCGRA. Furthermore, the softness of the SCGRA allows domain-specific design of the processing elements, while allowing highly optimized SCGRA array be developed by a separate hardware design team. An SCGRA operating at over 400MHz on a commercial FPGA is presented here. When compared to commercial high-level synthesis tools, the proposed design methodology achieved 0.8-21x times speedup in the application run time while application compilation time is reduced by 10-100x.

关键词： Design Productivity FPGA-based computing high Frequency Soft Coarse-grained Reconfigurable architecture

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Web-based system for advanced heart disease identification using grid computing technology

Web-based system for advanced heart disease identification u...

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21st IEEE international symposium on computer-Based Medical Systems

作者： Han, Chang Hee Youn, Chan-Hyun Jung, Wooram Information and Communication University

ISBN: (纸本)9780769531656

Heart disease is one of the most serious medical problems which threaten human life. Now there are several methods for detecting heart disease and ECG (Electrocardiogram) signal analysis is one of the typical solutions. The other method such as MCG (Magnetocardiogram) is also recommended for heart disease detection. In computer society, the e-Health systems using these diagnosis methods have been developed. However, each diagnosis method has their own weak points and also limitations in system performance according to the increase of data in quantity. Therefore, in order to improve each diagnosis method and conventional e-Health system, we propose and implement a novel integrated diagnosis system combining grid technologies which is termed as a Physio-Grid system. We present the experimental and evaluation data in order to show our system capability in diagnosis and system performance. The results indicate that the proposed e-Health system can provide the plausible medical services and also it guarantees high reliability and system performance in data management and in diagnosis.

关键词： Information management

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AI-oriented Workload Allocation for Cloud-Edge computing 21

AI-oriented Workload Allocation for Cloud-Edge Computing

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21st IEEE/ACM international symposium on Cluster, Cloud and Internet computing (CCGrid)

作者： Hao, Tianshu Zhan, Jianfeng Hwang, Kai Gao, Wanling Wen, Xu Chinese Acad Sci Inst Comp Technol State Key Lab Comp Architecture Beijing Peoples R China Chinese Univ Hong Kong Shenzhen Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen Peoples R China

ISBN: (纸本)9781728195865

Different placement or collaboration policies in handling datasets and workloads across cloud, edge, and user-end may substantially affect a cloud-edge computing environment's overall performance. However, the common practice is to optimize the performance only on the edge layer, while ignoring the rest of the system. This paper calls attention to optimize AI-oriented workloads' performance across all components in cloud-edge architectures holistically. Our goal is to optimize AI-workload allocation in cloud clusters, edge servers, and end devices, achieving the minimum response time in latency-sensitive applications. This paper presents new workload allocation methods for AI workloads in cloud-edge computing systems. We have proposed two efficient allocation algorithms to reduce the end-to-end response time of single-workload and multi-jobs scenarios, respectively. We apply six edge AI workloads from a comprehensive edge computing benchmark - Edge AIBench for experiments. Besides, we conduct experiments in a real edge computing environment. Our experiment results demonstrate the high efficiency and effectiveness of our algorithms in real-life applications and datasets. Our multi-job allocation algorithm's end-to-end response time outperforms the other four baseline strategies by 33% to 63%.

关键词： edge-cloud computing edge AI workload allocation end-to-end response time

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CLAIR: A Contract-based Framework for Developing Resilient CPS architectures 21

CLAIR: A Contract-based Framework for Developing Resilient C...

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21st IEEE international symposium on Real-Time computing (ISORC)

作者： Andalam, Sidharta Ng, Daniel Jun Xian Easwaran, Arvind Thangamariappan, Karthikeyan Nanyang Technol Univ NTU Singapore Singapore Delta Elect Inc Singapore Singapore

ISBN: (纸本)9781538658475

Industrial cyber-infrastructure is normally a multilayered architecture. The purpose of the layered architecture is to hide complexity and allow independent evolution of the layers. In this paper, we argue that this traditional strict layering results in poor transparency across layers affecting the ability to significantly improve resiliency. We propose a contract-based methodology where components across and within the layers of the cyber-infrastructure are associated with contracts and a light-weight resilience manager. This allows the system to detect faults (contract violation monitored using observers) and react (change contracts dynamically) effectively. It results in (1) improving transparency across layers;helps resiliency, (2) decoupling fault-handling code from application code;helps code maintenance, (3) systematically generate error-free fault-handling code;reduces development time. Using an industrial case study, we demonstrate the proposed methodology.

关键词： Resilience Contracts computer architecture Observers Automata Runtime Monitoring"

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Secure and Scalable Cloud-based architecture for e-Health Wireless sensor networks

Secure and Scalable Cloud-based Architecture for e-Health Wi...

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21st international Conference on computer Communications and Networks (ICCCN)

作者： Lounis, Ahmed Hadjidj, Abdelkrim Bouabdallah, Abdelmadjid Challal, Yacine Univ Technol Compiegne HEUDIASYC UMR CNRS 7253 F-60206 Compiegne France

ISBN: (纸本)9781467315449;9781467315425

There has been a host of research works on wireless sensor networks for medical applications. However, the major shortcoming of these efforts is a lack of consideration of data management. Indeed, the huge amount of high sensitive data generated and collected by medical sensor networks introduces several challenges that existing architectures cannot solve. These challenges include scalability, availability and security. In this paper, we propose an innovative architecture for collecting and accessing large amount of data generated by medical sensor networks. Our architecture resolves all the aforementioned challenges and makes easy information sharing between healthcare professionals. Furthermore, we propose an effective and flexible security mechanism that guarantees confidentiality, integrity as well as fine grained access control to outsourced medical data. This mechanism combines several cryptographic schemes to achieve high flexibility and performance.

关键词： wireless sensor networks healthcare cloud computing attribute based encryption

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