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Nowadays, with the increasing burst of newly generated data everyday, as well as the vast expanding needs for corresponding data analyses, grand challenges have been brought to big data computing platforms. Computing resources in a single cluster are often not able to fulfill the computing capability needs. The requests of distributed computing resources are dramatically arising. In addition, with...
Abstract-Application delays caused by abnormal tasks arecommon problems in big data computing frameworks. Anabnormal task in Spark, which may run slowly withouterror or warning logs, not only reduces its resident node’sperformance, but also affects other nodes’ efficiency.Spark log files report neither root causes of abnormal tasks,nor where and when abnormal scenarios happen. AlthoughSpark provides...
Load imbalance problem is one of the major obstacles to achieving optimal performance of High Performance Computing applications. The approach of trying to distribute the problem pieces to each node with the hope of balancing execution time has limits since the performance depends not only on data size but also on many other dynamic factors. This paper describes an approach that uses adaptive resource...
We propose an approach by integrating static and dynamic program analyses to detect threadsafety violations in hybrid MPI/OpenMP programs. We innovatively transform the thread-safety violation problems to race conditions problems. In our approach, the static analysis identifies a list of MPI calls related to thread-safety violations, then replaces them with our own MPI wrappers, which involve accesses...
With the increasing popularity of multi-core machines, more and more sequential programs are being parallelized using OpenMP. However, it is not easy for programmers to write parallel programs correctly. Concurrency errors, such as data races and deadlocks. This paper presents a novel technique to detect data races and deadlocks using hybrid program analysis.
Cloud computing paradigm contains many shared resources, such as infrastructures, data storage, various platforms and software. Resource monitoring involves collecting information of system resources to facilitate decision making by other components in Cloud environment. It is the foundation of many major Cloud computing operations. In this paper, we extend the prevailing monitoring methods in Grid...
Developing concurrent programs is intrinsically difficult. They are subject to programming errors that are not present in traditional sequential programs. Our current work is to design and implement a hybrid approach that integrates static and dynamic analyses to check concurrency-related programming errors more accurately and efficiently. The experiments show that the hybrid approach is able to detect...
Escape analysis can determine whether and when a variable becomes shared for multiple threads, which is a foundation for many other program analyses. Most existing escape analysis tools are either purely dynamic or static analysis. Static analysis usually considers all possible behaviors of a program, however, may produce false positives; whereas dynamic approaches can not analyze unobserved behaviors...
As the environmental problem is emphasized by the whole society increasingly, the needs and demands of the environmental data sharing and service are becoming more and more urgent. In the course of constructing State Environmental Data Center (SEDC): organizing, standardizing and strengthening exchanges of data and information between sections; setting up environmental foundation database of the national...
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