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OpenMed
 		Research  ·  Distributed Computing


		Large scale computing architectures allow researchers to process massive amounts of data by
		dividing the total project in to partitions and then distributing the workload over many processors.
		This is the modern technique of parallel computing known as high-performance computing (HPC)
		or supercomputing.

		The conceptual simplicity of this model gives rise to complexities of algorithm design, data consistency
		and network topology. These and other challenges are addressed by research in distributed computing,
		one of the most exciting areas of computer science in our time.


















Distributed ComputingNetworks of computers
Distributed Computing Research Group
Open | Enrolling



			Exascale Computing Project        Software Technology Capability Assessment Report–Public
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			Exascale.life
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			Supercomputing.life
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			ACM        Federated Computing Research Conference        Geoffrey Hinton and Yann LeCun Deliver Turing Lecture at FCRC 2019
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			ACM	Special Interest Group on Artificial Intelligence				selects.acm.org
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			ORNL.gov        Oak Ridge National Laboratory
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			ANL.gov        Argonne National Laboratory
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			GraphML.life    learning
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			TeachML.life        Machine Teaching
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			PubMed	Applied Mathematics and Computation

			PubMed	Big Data

			PubMed	Computational Mechanics

			PubMed	Computer Methods in Applied Mechanics and Engineering

			PubMed	Computing in Science & Engineering

			PubMed	Mathematics and Computers in Simulation

			PubMed	Physica A: Statistical Mechanics and its Applications

			PubMed	Physica D: Nonlinear Phenomena