Do you want to publish a course? Click here

A New Strategy for Scheduling a Directed Acyclic Graph in Heterogeneous Parallel Environments

استراتيجية جديدة لجدولة بيان موجه لا يحوي دائرة في البيئات المتوازية غير المتجانسة

1314   1   7   0 ( 0 )
 Publication date 2018
  fields Mathematics
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

The work aims to make benefit from existence multi-CPU and multi-GPU, exploiting the calculation processes which do multi-GPU, which aims to form mechanism to scheduling a directed acyclic graph(DAG), it aims to reduce communication between resources and inter linked task scheduling in the best form.



References used
Jiannong Cao, Alvin T. S. Chan, Yudong Sun , Sajal K. Das and Minyi Guo , 2006, A taxonomy of application scheduling tools for high performance cluster computing, Cluster Comput 9:355–371
Fangpeng Dong and Selim G. Akl, 2006, Scheduling Algorithms for Grid Computing: State of the Art and Open Problems, Technical Report No. 2006-504
Jia Yu, Rajkumar Buyya, and Kotagiri Ramamohanarao, 2008, Workflow Scheduling Algorithms for Grid Computing, Metaheuristics for Scheduling in Distributed Computing Environments
rate research

Read More

We introduce an auto adaptive strategy enables to write a parallel algorithm adapts to the number of available resources at allocated parallel environment to execute the parallel program. The parallel applications we are studying which are represe nted by data-flow graph which built dynamically during the execution. The new suggested strategy is based on coupling of a sequential algorithm and a parallel one and relies on the principle of work stealing in the tasks scheduling. We offer a study of the complexity of the adaptive algorithm and analyze its performance on processors and compare it with a performance of a classic parallel algorithm.
The encoder--decoder framework achieves state-of-the-art results in keyphrase generation (KG) tasks by predicting both present keyphrases that appear in the source document and absent keyphrases that do not. However, relying solely on the source docu ment can result in generating uncontrollable and inaccurate absent keyphrases. To address these problems, we propose a novel graph-based method that can capture explicit knowledge from related references. Our model first retrieves some document-keyphrases pairs similar to the source document from a pre-defined index as references. Then a heterogeneous graph is constructed to capture relations with different levels of granularity of the source document and its retrieved references. To guide the decoding process, a hierarchical attention and copy mechanism is introduced, which directly copies appropriate words from both source document and its references based on their relevance and significance. The experimental results on multiple KG benchmarks show that the proposed model achieves significant improvements against other baseline models, especially with regard to the absent keyphrase prediction.
Prerequisite relations among concepts are crucial for educational applications, such as curriculum planning and intelligent tutoring. In this paper, we propose a novel concept prerequisite relation learning approach, named CPRL, which combines both c oncept representation learned from a heterogeneous graph and concept pairwise features. Furthermore, we extend CPRL under weakly supervised settings to make our method more practical, including learning prerequisite relations from learning object dependencies and generating training data with data programming. Our experiments on four datasets show that the proposed approach achieves the state-of-the-art results comparing with existing methods.
In this paper, we introduce a continuous mathematical model to optimize the compromise between the overhead of fault tolerance mechanism and the faults impacts in the environment of execution. The fault tolerance mechanism considered in this rese arch is a coordinated checkpoint/recovery mechanism and the study based on stochastic model of different performance critics of parallel application on parallel and distributed environment.
In this research, We introduce two probabilistic mechanisms to certificate parallel applications on distribute architecture supposing that there are no oracles on which we depend on certification, in addition to introducing cost model of two mecha nisms and compare them. In this research, we are interested in parallel applications, which are represented by data-flow graph that is built dynamically during the execution and which are executed in a wide distributed heterogeneous and dynamic environment and these applications use the principle of work stealing to distribute the tasks among the processors.

suggested questions

comments
Fetching comments Fetching comments
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا