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Programming Abstractions for Data Locality
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Hierarchical Computation in the SPMD Programming Model
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DASH: Data Structures and Algorithms with Support for Hierarchical Locality
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Near-Optimal Placement of MPI Processes on Hierarchical NUMA Architectures
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GROMACS 4: Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation
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GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit
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The PERCS High-Performance Interconnect
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Netloc: Towards a Comprehensive View of the HPC System Topology
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UPC++: A PGAS Extension for C++
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Exploiting Geometric Partitioning in Task Mapping for Parallel Computers
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CALCioM: Mitigating I/O Interference in HPC Systems through Cross-Application Coordination
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Multi-core aware process mapping and its impact on communication overhead of parallel applications
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Exascale Computing Trends: Adjusting to the "New Normal"' for Computer Architecture
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Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi-GPU System
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PyOP2: A High-Level Framework for Performance-Portable Simulations on Unstructured Meshes
inferredcites →https://doi.org/10.1109/sc.companion.2012.136openalex-snapshot
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Task-Based FMM for Multicore Architectures
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Using Compiler Directives to Port Large Scientific Applications to GPUs: An Example from Atmospheric Science
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The future of microprocessors
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Generic topology mapping strategies for large-scale parallel architectures
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Work-stealing with configurable scheduling strategies
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Modeling communication in cache-coherent SMP systems
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Design and implementation of a customizable work stealing scheduler
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Scalable analysis of multicore data reuse and sharing
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On implementing MPI-IO portably and with high performance
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OpenMP task scheduling strategies for multicore NUMA systems
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Effects of Flow Instabilities on the Linear Analysis of Turbomachinery Aeroelasticity
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