Top PDF Task-based multifrontal QR solver for heterogeneous architectures
Task-based multifrontal QR solver for heterogeneous architectures
... StarPU-based multifrontal method this section, as well as in Chapter 4, have been run with an interleaved memory allocation policy which basically make the locality aware scheduling policy implemented in ...
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Task-based hybrid linear solver for distributed memory heterogeneous architectures
... such architectures. In this paper, we propose to extend a sparse hybrid solver for handling distributed memory heterogeneous ...original solver, we perform a domain decomposition and ...
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Task-based multifrontal QR solver for GPU-accelerated multicore architectures
... exist for programming such a DAG of ...allows for the ...the task to the runtime ...the task to the current DAG along with its dependencies which are automatically computed through data ...
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3D frequency-domain seismic modeling with a Parallel BLR multifrontal direct solver
... any multifrontal solver without a complete rethinking of the ...multicore architectures, MPI parallelism is hy- bridized with thread parallelism by multithreading the tasks of Algorithm ...allows ...
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Exploiting a Parametrized Task Graph model for the parallelization of a sparse direct multifrontal solver
... models for task-based algorithms The most common strategy for the parallelization of task-based algorithms con- sists in traversing the DAG sequentially and submit the tasks, as ...
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Implementing multifrontal sparse solvers for multicore architectures with Sequential Task Flow runtime systems
... approach for controlling the memory consumption of the parallel multifrontal method, which allows the user to achieve the highest possible performance within a prescribed memory ...accommodate for as ...
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Task-based Conjugate Gradient: from multi-GPU towards heterogeneous architectures
... are based on the calculation of approximated solutions in a sequence of embedded spaces, that is intrinsically a sequential numerical ...exclusively based on non compute intensive kernels with irregular ...
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Asynchronous Task-Based Polar Decomposition on Single Node Manycore Architectures
... ing task-based programming models. Indeed, searches for pivot candidates and row swapping generate many global synchronization points within the panel factorization and its resulting ...of ...
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Introduction of shared-memory parallelism in a distributed-memory multifrontal solver
... parallel solver using MPI, it is possible to adapt it and improve its performance on multi-core ...hybrid-memory architectures, we consider here a pure shared-memory ...MUMPS solver [3, 5], but the ...
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Multifrontal QR Factorization for Multicore Architectures over Runtime Systems
... a task and an edge represents a dependency between ...scheduling. Based on the scheduling decisions, a runtime system takes care of performing the actual execution of the tasks, both ensuring that ...
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Multifrontal QR Factorization for Multicore Architectures over Runtime Systems
... a task and an edge represents a dependency between ...scheduling. Based on the scheduling decisions, a runtime system takes care of performing the actual execution of the tasks, both ensuring that ...
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Large-scale 3D EM modeling with a Block Low-Rank multifrontal direct solver
... (BLR) multifrontal direct solver to efficiently solve the linear systems of equations arising from a finite-difference discretization of the frequency-domain Maxwell equations for 3-D electromagnetic ...
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3D frequency-domain seismic modeling with a Block Low-Rank algebraic multifrontal direct solver
... phase. For instance, it can be moved to the last position if one needs an accurate factorization and an approximated, faster solution ...choice for FWI application, where a large number of right-hand sides ...
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Decentralized task allocation for heterogeneous teams with cooperation constraints
... assigned. For case (a), one can claim that the RDT j is assigned to an appropriate pair of agents, and for case (b), one can claim that the RDT j is not assigned because it is not attractive to the ...RDT ...
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Finding new heuristics for automated task prioritizing in heterogeneous computing
... DAGs for heterogeneous scheduling evaluation purposes ...idea for generating our dataset, but it has several ...handle task types. Therefore each task is treated ...type. For ...
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Priority-based Riemann solver for traffic flow on networks
... others. For a complete account of recent results and references we refer the reader to the survey [ 6 ...]. For vehicular traffic, authors considered many different traffic situations to be modeled, thus ...
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EEA-Aware For Large-Scale Scientific Applications On Heterogeneous Architectures
... Ref. John A. García H. et al. Energetically Efficient Acceleration EEA-Aware. Degree work to obtain the title of Master of Science in Systems Engineering and Informatics at UIS 2016. Ref. Víctor Martinez et al. Towards ...
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TBES: Template-Based Exploration and Synthesis of Heterogeneous Multiprocessor Architectures on FPGA
... tool based on a Data Flow Graph model and therefore dedicated to data-dominated ...VHDL for synthesis, and in SystemC for virtual ...consider for automated exploration are the latency and the ...
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Large-scale 3D EM modeling with a Block Low-Rank multifrontal direct solver
... size for the matrices of factors compared to the conventional full-rank (FR) factorization ...large, for example, for marine CSEM applications resistivities of seawater and resistive rocks often ...
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E-HEFT: Enhancement Heterogeneous Earliest Finish Time algorithm for Task Scheduling based on Load Balancing in Cloud Computing
... executions) for the Montage and Cybershake DAGs are shown in Fig 6, while ...algorithms based on both ...MinMin-TSH based on Cybershake workflow as shown in Fig ...movement for data intensive ...
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