The remarkable success of the first Sino-German Workshop on Cloud-based High Performance Computing (C-HPC‘11), held on September 26 – October 1, in Shanghai, China, has motivated us to continue with the series in 2012. It was highly appreciated that the workshop C-HPC’11 has obtained strong support from the Sino-German center. We set the theme of the bilateral workshop in this year as “Cloud Computing and HPC in Practice“ and expect from our invited speakers and other participants deep and meaningful discussion on the challenges on how to conveniently, efficiently, and securely provide Cloud Computing and HPC services to the end users. Some interesting issues could be, e.g., how to take full advantage of the competences of Cloud Computing technology for solving the difficult questions in the HPC domain, how to efficiently manage and utilize high performance resources deployed in the cloud environment, how to avoid huge amount of energy consumption for achieving green cloud and HPC, how to protect the privacy of the involving entities and meanwhile guarantee the security of the entire infrastructure and the services it offers, etc. We are grateful to the Chinesisch-Deutsche Zentrum für Wissenschaftsförderung (CDZ, Sino-German Center for Science Foundation, a joint center of DFG & NSFC) to provide us the grant for organizing this workshop.
Goals:
The C-HPC’12 aims at enhancing the collaborative relationships between C-HPC participants, promoting more concrete cooperation, especially, the joint research projects, strengthening performance of research, development and practice as well as improving the academic status and influence of both countries in the area of Cloud Computing and High Performance Computing. The goal of this workshop can be summarized as:
* Exchange new ideas, research topics, and R&D advancements
* Identify common interested key issues and specify feasible research routines and methodologies
* Extend and deepen existing discussions and collaborations since C-HPC’11
* Propose suitable collaborative research projects targeting at International or National key research plans or programs
Welcome | 00:17:09 | |
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Welcome | 00:02:41 | |
About the Workshop | 00:14:28 |
Parallel Solver for Large Scale Sparse Linear Systems | 00:36:02 | |
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Motivations | 00:06:24 | |
Introduction | 00:06:36 | |
Multi-granularity Parallel Algorithm | 00:10:59 | |
Hierarchical Parallel Algorithm | 00:12:03 |
Trusted Cloud: Innovative, Secure and Legally Compliant Cloud Computing Solutions | 00:37:16 | |
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Trusted Cloud | 00:09:22 | |
Scalability & Fault Tolerance | 00:10:21 | |
Cyber-Security Training | 00:09:47 | |
BmWi Projects | 00:07:46 |
HPC and Clouds - How Do We Proceed? | 00:23:56 | |
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Clouds | 00:06:06 | |
Supercomputing | 00:03:30 | |
Things Change Over Time | 00:14:20 |
HPC and e-Infrastructure Development in China's High-tech R&D Program | 00:30:07 | |
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Related R&D Programs in China | 00:09:53 | |
Dawning 6000 | 00:10:50 | |
Domain Applications | 00:09:24 |
From Grid to Cloud to HPC | 00:33:02 | |
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Dresden University of Technology | 00:07:25 | |
eScience | 00:08:16 | |
Cloud Computing | 00:17:21 |
Wireless Communication in Data Center Network | 00:33:45 | |
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Introduction | 00:10:32 | |
Wireless Architecture | 00:12:08 | |
Performance Optimization | 00:11:05 |
From Clouds to Mist: Bringing Clouds Closer to the End User | 00:25:29 | |
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Cloud-based Application Provisioning | 00:09:18 | |
Decisions | 00:10:24 | |
Some Results | 00:05:47 |
A Dynamical Prediction Based Cloud Resource Deployment Model | 00:19:57 | |
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Introduction | 00:06:56 | |
Definition and Concept | 00:04:23 | |
Prediction Based Resource Deployment Model | 00:08:38 |
Dependability Modeling for Cloud Environments | 00:28:58 | |
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Dependability | 00:05:53 | |
Providers: Layers on Layers... | 00:07:15 | |
Dependability Modeling | 00:09:03 | |
Example: Server Hardware | 00:06:47 |
A Formal Method for Fault Tolerant Service Composition in the Cloud Environment | 00:16:22 | |
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Motivation | 00:07:11 | |
Modeling Service Composition | 00:07:59 | |
Conclusion | 00:01:12 |
In-Memory Data Management | 00:28:12 | |
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The Basic Idea | 00:07:49 | |
OLTP vs. OLAP | 00:11:20 | |
Dictionary Encoding | 00:09:03 |
Foundation Library Optimization for High-Performance Computing | 00:33:04 | |
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HPC and Cloud Computing | 00:08:15 | |
Optimization Techniques | 00:14:00 | |
GLIBC | 00:10:49 |
Flexible Sharing and Replication Mechanisms for Hybrid Memory Architectures | 00:29:12 | |
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Introduction | 00:10:25 | |
Cross Core Invocations | 00:11:42 | |
Consistency Control Protocols | 00:07:05 |
Cloud Computing Security - Challenges and Practice | 00:28:32 | |
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Cloud Computing and Trends | 00:07:14 | |
Key Issues of Cloud Security | 00:05:15 | |
Our Work on Cloud Security | 00:15:15 | |
Conclusions | 00:00:48 |
P2P Botnet Propagation Modeling and Detection | 00:29:32 | |
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P2P Botnet Modeling | 00:14:34 | |
P2P Botnet Propagation Model | 00:13:27 | |
Conclusion | 00:01:31 |
Experiments with Basic ODE Solver on GPU | 00:29:02 | |
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Introduction & OpenCL | 00:15:18 | |
Experimental Evaluation | 00:11:19 | |
Conclusions | 00:02:25 |
HPC as a Probe to the Earth | 00:35:01 | |
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Ground Subsidence in China | 00:12:02 | |
Phase Unwrapping Algorithms | 00:09:10 | |
Current Work | 00:13:49 |
InstantLab 2.0 - A Platform for Operating System Experiments on Public Cloud Infrastructure | 00:19:39 | |
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InstantLab 2.0 | 00:11:39 | |
Making it Public | 00:06:04 | |
Conclusion | 00:01:56 |
CPSE-Bio - A Cloud Comptuting Based PSE for Bioinformatic | 00:20:19 | |
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Introduction | 00:05:19 | |
Data Management and Retrieval | 00:09:24 | |
Biomolecular Networks Visualization | 00:05:36 |
SuperMUC - PetaScale HPC @ LRZ | 00:25:35 | |
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Introduction | 00:11:26 | |
PRACE Tier-0 Systems | 00:12:36 | |
Summary | 00:01:33 |
A Scalable, Adaptive, Self-management and Fault-tolerant Architecture (SASFA) for Digital Library | 00:28:40 | |
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Introduction | 00:06:28 | |
Architecture Overview | 00:08:21 | |
Implementation | 00:09:13 | |
Experiments | 00:04:38 |
Holistic Performance Analysis of Applications and Systems | 00:27:33 | |
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German Research School for Simulation Sciences | 00:05:17 | |
Tuning Objectives for HPC Systems | 00:12:05 | |
Virtual Institute | 00:10:11 |
Structure Data Computer | 00:35:43 | |
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Structured Data Type | 00:04:51 | |
Demand for Structured Data Processor | 00:06:46 | |
The Three Key Strengths of TOC | 00:11:09 | |
Carry-free Optical Adder of TOC | 00:12:57 |
Programming in the Cloud | 00:25:57 | |
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Lively Webwerkstatt | 00:07:45 | |
Parts and PartsBin | 00:09:14 | |
Example | 00:08:58 |
Data-intensive Exascale Computing | 00:27:09 | |
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Who We Are | 00:07:42 | |
Big Data | 00:10:29 | |
Advantages of Hierarchical Arrays | 00:08:58 |
Data Gathering in Wireless Sensor Networks Through Intelligent Compressive Sensing | 00:18:06 | |
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Background | 00:10:22 | |
Adaptive Reconstruction | 00:05:23 | |
Performance Evaluation | 00:02:21 |
Closing Speach | 00:22:17 | |
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Geschichte des Zentrums | 00:06:53 | |
Projektförderung | 00:07:14 | |
Unterstützung von Nachwuchswissenschaftlern | 00:08:10 |