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PVM-Distributed Implementation of the Radiance Code
The Parallel Virtual Machine (PVM) tool has been used for a distributed ...
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A Systematic Comparison of Dynamic Load Balancing Algorithms for Massively Parallel Rigid Particle Dynamics
As compute power increases with time, more involved and larger simulatio...
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OpenFPM: A scalable open framework for particle and particle-mesh codes on parallel computers
Scalable and efficient numerical simulations continue to gain importance...
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A Dynamic Load Balancing Algorithm for Distributing Mobile Codes in Multi-Applications and Multi-Hosts Environment
Code offloading refers to partitioning software and migrating the mobile...
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The Simulation Model Partitioning Problem: an Adaptive Solution Based on Self-Clustering (Extended Version)
This paper is about partitioning in parallel and distributed simulation....
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Distributed-Memory Load Balancing with Cyclic Token-based Work-Stealing Applied to Reverse Time Migration
Reverse time migration (RTM) is a prominent technique in seismic imaging...
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Tasks Unlimited: Lightweight Task Offloading Exploiting MPI Wait Times for Parallel Adaptive Mesh Refinement
Balancing dynamically adaptive mesh refinement (AMR) codes is inherently...
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Hardware locality-aware partitioning and dynamic load-balancing of unstructured meshes for large-scale scientific applications
We present an open-source topology-aware hierarchical unstructured mesh partitioning and load-balancing tool TreePart. The framework provides powerful abstractions to automatically detect and build hierarchical MPI topology resembling the hardware at runtime. Using this information it intelligently chooses between shared and distributed parallel algorithms for partitioning and load-balancing. It provides a range of partitioning methods by interfacing with existing shared and distributed memory parallel partitioning libraries. It provides powerful and scalable abstractions like one-sided distributed dictionaries and MPI3 shared memory based halo communicators for optimising HPC codes. The tool was successfully integrated into our in-house code and we present results from a large-eddy simulation of a combustion problem.
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