Titlebook: Rural Technology Development and Delivery; RuTAG and Its Synerg Subir Kumar Saha,M. R. Ravi Conference proceedings 2019 Springer Nature Sin

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Srijan Prabhakar,Prabhat Kumar,Subir Kumar Saha,D. Ravi Kumar,Deepak Kumarcomputing applications. For example, the proposed method could be used to accelerate the simulation of quantum systems with many qubits, or quantum algorithms with numerous steps. The results of this study suggest that the proposed method can be used to accelerate the performance of future high-dime

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Ganesh Kumar Sharma,Deepak Kumar,Subir Kumar Sahaon traces to help hyperparameters fine-tuning by providing a global data-oriented picture of the FL workflow. Yet, the existing FL frameworks do not provide dynamic fine-tuning nor support provenance capturing. Therefore, this paper introduces an FL framework named . that uses provenance data for tr

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R. Chattopadhyay,Subir Kumar Saha,Ankit Fatnanicomputing applications. For example, the proposed method could be used to accelerate the simulation of quantum systems with many qubits, or quantum algorithms with numerous steps. The results of this study suggest that the proposed method can be used to accelerate the performance of future high-dime

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Davinder Pal Singh,Sangeeta Kohli,M. R. Ravi,Subir Kumar Saha,Mangal Sharma,Raj Kumar Guptashows that simple ways to express parallelism through . loops perform better on medium and high core counts than a more elaborate task-based parallelization with dynamic scheduling according to dependency graphs, despite less memory transfer in the latter algorithm.

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Pramod Khadilkar,H. I. Somasekhar,Monto Manileton which is able to reproduce the original workflow of the scientific application. Thus, it becomes easy to investigate both single component and workflow optimizations, new software and hardware systems or future system design. New solutions can then be integrated into the large scientific appli

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