Welcome to the proceedings of GCC2004 and the city of Wuhan. Grid computing has become a mainstream research area in computerscience and the GCC conference has become one of the premier forums for presentation of new...
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ISBN:
(数字)9783540302087
ISBN:
(纸本)9783540235644
Welcome to the proceedings of GCC2004 and the city of Wuhan. Grid computing has become a mainstream research area in computerscience and the GCC conference has become one of the premier forums for presentation of new and exciting research in all aspectsofgridandcooperativecomputing. Theprogramcommitteeispleasedtopresent the proceedings of the 3rd International Conference on Grid and Cooperative Comp- ing (GCC2004), which comprises a collection of excellent technical papers, posters, workshops, and keynote speeches. The papers accepted cover a wide range of exciting topics, including resource grid and service grid, information grid and knowledge grid, grid monitoring,managementand organizationtools, grid portal, grid service, Web s- vices and their QoS, service orchestration, grid middleware and toolkits, software glue technologies, grid security, innovative grid applications, advanced resource reservation andscheduling,performanceevaluationandmodeling,computer-supportedcooperative work, P2P computing, automatic computing, and meta-information management. The conference continues to grow and this year a record total of 581 manuscripts (including workshop submissions) were submitted for consideration. Expecting this growth, the size of the program committee was increased from 50 members for GCC 2003 for 70 in GCC 2004. Relevant differences from previous editions of the conf- ence: it is worth mentioning a signi?cant increase in the number of papers submitted by authors from outside China; and the acceptance rate was much lower than for p- vious GCC conferences. From the 427 papers submitted to the main conference, the program committee selected only 96 regular papers for oral presentation and 62 short papers for poster presentation in the program.
With the continuous growth of user scale and application data, the demand for large-scale concurrent graph processing is increasing. Typically, large-scale concurrent graph processing jobs need to process correspondin...
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With the continuous growth of user scale and application data, the demand for large-scale concurrent graph processing is increasing. Typically, large-scale concurrent graph processing jobs need to process corresponding snapshots of dynamically changing graph data to obtain information at different time points. To enhance the throughput of such applications, current solutions concurrently process multiple graph snapshots on the GPU. However, when dealing with rapidly changing graph data, transferring multiple snapshots of concurrent jobs to the GPU results in high data transfer overhead between CPU and GPU. Additionally, the execution mode of existing work suffers from underutilization of GPU computational *** this work, we introduce CGCGraph, which can be integrated into existing GPU graph processing systems like Subway, to enable efficient concurrent graph snapshot processing jobs and enhance overall system resource utilization. The key idea is to offload unshared graph data of multiple concurrent snapshots to the CPU, reducing CPU-GPU transfer overhead. By implementing CPU-GPU co-execution, there is potential for enhanced utilization of GPU computing resources. Specifically, CGCGraph leverages kernel fusion to process shared graph data concurrently on the GPU, while executing all snapshots in parallel on the CPU, with each snapshot assigned a dedicated thread. This approach enables efficient concurrent processing within a novel CPU-GPU co-execution model, incorporating three optimization strategies targeting storage, computation, and synchronization. We integrate CGCGraph with Subway, an existing system designed for out-of-GPU-memory static graph processing. Experimental results show that the integration of CGCGraph with current GPU-based systems obtains performance improvements ranging from 1.7 to 4.5 times.
This volume contains the proceedings of the Third International DMTF Academic Alliance Workshop on systems and Virtualization Management: Standards and the Cloud (SVM 2009) held in Wuhan, China, during September 22-23...
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ISBN:
(数字)9783642149443
ISBN:
(纸本)9783642149436
This volume contains the proceedings of the Third International DMTF Academic Alliance Workshop on systems and Virtualization Management: Standards and the Cloud (SVM 2009) held in Wuhan, China, during September 22-23, 2009. The SVM 2009 proceedings are intended for use by students of systems and vir- alization management. The reader is presumed to have a basic knowledge of systems management technologies and standards at the level provided, for example, by the Common Information Model (CIM) standard for modeling management resources. The student of systems management will find here material that could be included in an advanced study program. These proceedings should furthermore allow students to acquire an appreciation of the breadth and variety of systems and virtualization m- agement research. The proceedings also illuminate related standards and research issues, answering questions such as: what are the implications of virtualization for distributed systems management, which advances in information models and protocols aid in managing virtualization, what new problems will we incur when managing virtualized systems and services, and how might management itself benefit from virtualization? Topics related to managing distributed systems, virtualization of distributed - sources/services and work in management standardization are also highlighted. There were 28 regular paper submissions. These went through an active review process, with each submission reviewed by at least three members of the Program Committee. We also sought external reviews from experts in certain areas. All these inputs were used by the Program Committee in selecting a final program with 12 regular papers.
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