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HPBench 2014 - Special Session on High Performance Computing for Benchmarking (HPBench 2014)

Date2014-07-21 - 2014-07-25

Deadline2014-03-11

VenueBologna, Italy Italy

Keywords

Websitehttp://cisedu.us/rp/hpcs14

Topics/Call fo Papers

Many algorithms have been proposed and appear in the state of the art of many application domains such as image processing, cryptography, pattern recognition, signal processing, document analysis, etc… In order to quantify the performance and the benefits of a new algorithm, it is necessary in general to test it on a large benchmark. In most cases, the size of existing benchmarks is really important. As an example, in the filed of biometrics, the performance of a matching algorithm is estimated through one million of comparisons on a benchmark dataset containing biometric samples of a large number of individuals. It becomes difficult to achieve this testing in a research lab or in an engineering department due to computational constraints and lack of adequate resources. One solution is to use high performance computing systems such as those employed in grid computing. Most recently, cloud computing has been getting popular.
This special session focuses on research works aimed at defining high performance computing systems and cloud computing for benchmarking. Furthermore, benchmarking related contributions concerning the definition of new open platforms, studies on the distribution of computation tasks and applications in different fields in computer science or from other domains are sought.
The topics of the session include (but are not limited to) the following:
Open Platforms for Distributed Benchmarking
Benchmarking on the Cloud
Benchmarking Web Services
Virtualization for Distributed Benchmarking
Data Distribution for Benchmarking
Evaluation Platforms
Performance of Benchmarking Applications on Clouds (Ex: NAS parallel benchmarks)
Scalability of Parallel Applications on Public or Private Clouds
Benchmarking Scientific Parallel Applications
Performance Measurements, Monitoring, Modeling and Simulation
Distributed Troubleshooting and Best Practices
Applications (not limited to): image processing, pattern recognition, cryptography, biometrics, etc.

Last modified: 2014-01-16 23:28:03