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Patus for convenient high-performance stencils: Evaluation in earthquake simulations

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-44905-1_35openalex-snapshot
Time Skewing for Parallel Computers
inferredcites →https://doi.org/10.1007/978-3-642-13374-9_4openalex-snapshot
Loop Transformation Recipes for Code Generation and Auto-Tuning
inferredcites →https://doi.org/10.1007/s00224-007-9098-2openalex-snapshot
The Cache Complexity of Multithreaded Cache Oblivious Algorithms
inferredcites →https://doi.org/10.1007/s10766-010-0142-5openalex-snapshot
A Performance Study for Iterative Stencil Loops on GPUs with Ghost Zone Optimizations
inferredcites →https://doi.org/10.1007/s11390-012-1206-3openalex-snapshot
A Hybrid Circular Queue Method for Iterative Stencil Computations on GPUs
inferredcites →https://doi.org/10.1016/j.jocs.2011.01.010openalex-snapshot
Efficient multicore-aware parallelization strategies for iterative stencil computations
inferredcites →https://doi.org/10.1029/2002jb002235openalex-snapshot
On the implementation of perfectly matched layers in a three‐dimensional fourth‐order velocity‐stress finite difference scheme
inferredcites →https://doi.org/10.1109/icppw.2010.38openalex-snapshot
LIKWID: A Lightweight Performance-Oriented Tool Suite for x86 Multicore Environments
inferredcites →https://doi.org/10.1109/ipdps.2009.5161031openalex-snapshot
Parallel data-locality aware stencil computations on modern micro-architectures
inferredcites →https://doi.org/10.1109/ipdps.2010.5470421openalex-snapshot
An auto-tuning framework for parallel multicore stencil computations
inferredcites →https://doi.org/10.1109/ipdps.2011.70openalex-snapshot
PATUS: A Code Generation and Autotuning Framework for Parallel Iterative Stencil Computations on Modern Microarchitectures
inferredcites →https://doi.org/10.1109/mc.2009.385openalex-snapshot
Cetus: A Source-to-Source Compiler Infrastructure for Multicores
inferredcites →https://doi.org/10.1109/pact.2011.15openalex-snapshot
A Heterogeneous Parallel Framework for Domain-Specific Languages
inferredcites →https://doi.org/10.1109/sc.2010.2openalex-snapshot
3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs
inferredcites →https://doi.org/10.1109/sc.2010.45openalex-snapshot
Scalable Earthquake Simulation on Petascale Supercomputers
inferredcites →https://doi.org/10.1145/1034774.1034777openalex-snapshot
Automatic tiling of iterative stencil loops
inferredcites →https://doi.org/10.1145/1250734.1250780openalex-snapshot
Parameterized tiled loops for free
inferredcites →https://doi.org/10.1145/1375581.1375595openalex-snapshot
A practical automatic polyhedral parallelizer and locality optimizer
inferredcites →https://doi.org/10.1145/1810085.1810096openalex-snapshot
Cache oblivious parallelograms in iterative stencil computations
inferredcites →https://doi.org/10.1145/1989493.1989508openalex-snapshot
The pochoir stencil compiler
inferredcites →https://doi.org/10.1145/1995896.1995932openalex-snapshot
Mint
inferredcites →https://doi.org/10.1177/1094342012444795openalex-snapshot
Optimizing the performance of streaming numerical kernels on the IBM Blue Gene/P PowerPC 450 processor
inferredcites →https://doi.org/10.5451/unibas-005711704openalex-snapshot
Generating and auto-tuning parallel stencil codes

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.3479openalex-snapshot
PSkel: A stencil programming framework for CPU‐GPU systems
inferred← citeshttps://doi.org/10.1007/978-3-319-09873-9_49openalex-snapshot
A Generic Strategy for Multi-stage Stencils
inferred← citeshttps://doi.org/10.1007/978-3-319-58667-0_8openalex-snapshot
Accelerating Seismic Simulations Using the Intel Xeon Phi Knights Landing Processor
inferred← citeshttps://doi.org/10.1007/978-3-319-96983-1_36openalex-snapshot
OpenABL: A Domain-Specific Language for Parallel and Distributed Agent-Based Simulations
inferred← citeshttps://doi.org/10.1007/978-3-319-97136-0_1openalex-snapshot
A High Arithmetic Intensity Krylov Subspace Method Based on Stencil Compiler Programs
inferred← citeshttps://doi.org/10.1007/s42514-026-00279-wopenalex-snapshot
Cladder: achieving practical and efficient stencil computation on tensor core units
inferred← citeshttps://doi.org/10.1016/j.cpc.2014.09.014openalex-snapshot
MPI + OpenCL implementation of a phase-field method incorporating CALPHAD description of Gibbs energies on heterogeneous computing platforms
inferred← citeshttps://doi.org/10.1016/j.procs.2013.05.289openalex-snapshot
On Scalability Issues of the Elastodynamics Equations on Multicore Platforms
inferred← citeshttps://doi.org/10.1016/j.procs.2016.05.499openalex-snapshot
High-productivity Framework for Large-scale GPU/CPU Stencil Applications
inferred← citeshttps://doi.org/10.1109/candar.2014.100openalex-snapshot
Performance Evaluation of a 3D-Stencil Library for Distributed Memory Array Accelerators
inferred← citeshttps://doi.org/10.1109/cluster49012.2020.00011openalex-snapshot
Efficient Process-to-Node Mapping Algorithms for Stencil Computations
inferred← citeshttps://doi.org/10.1109/hpcs.2017.110openalex-snapshot
Extending OpenACC for Efficient Stencil Code Generation and Execution by Skeleton Frameworks
inferred← citeshttps://doi.org/10.1109/iceert53919.2021.00018openalex-snapshot
Optimizing Stencil Codes with Exploiting Data Reuse
inferred← citeshttps://doi.org/10.1109/ipdps.2017.102openalex-snapshot
Autotuning Stencil Computations with Structural Ordinal Regression Learning
inferred← citeshttps://doi.org/10.1109/ipdpsw.2014.115openalex-snapshot
KernelGen -- The Design and Implementation of a Next Generation Compiler Platform for Accelerating Numerical Models on GPUs
inferred← citeshttps://doi.org/10.1109/pdp2018.2018.00043openalex-snapshot
Data-Layout Reorganization for an Efficient Intra-Node Assembly of a Spectral Finite-Element Method
inferred← citeshttps://doi.org/10.1109/sbac-pad.2014.28openalex-snapshot
Energy Efficient Seismic Wave Propagation Simulation on a Low-Power Manycore Processor
inferred← citeshttps://doi.org/10.1109/sbac-pad.2015.33openalex-snapshot
Towards Seismic Wave Modeling on Heterogeneous Many-Core Architectures Using Task-Based Runtime System
inferred← citeshttps://doi.org/10.1109/sbac-pad.2016.18openalex-snapshot
Speeding Up Stencil Computations with Kernel Convolution
inferred← citeshttps://doi.org/10.1109/sc.2014.26openalex-snapshot
High-Productivity Framework on GPU-Rich Supercomputers for Operational Weather Prediction Code ASUCA
inferred← citeshttps://doi.org/10.1109/sc.2014.72openalex-snapshot
Application Centric Energy-Efficiency Study of Distributed Multi-Core and Hybrid CPU-GPU Systems
inferred← citeshttps://doi.org/10.1109/sc.2018.00043openalex-snapshot
Simulating the Wenchuan Earthquake with Accurate Surface Topography on Sunway TaihuLight
inferred← citeshttps://doi.org/10.1109/tmscs.2017.2705139openalex-snapshot
Thoroughly Exploring GPU Buffering Options for Stencil Code by Using an Efficiency Measure and a Performance Model
inferred← citeshttps://doi.org/10.11606/t.3.2021.tde-18052021-154710openalex-snapshot
ASLI schenes as a kernel convolved way to optimize stencil computation.
inferred← citeshttps://doi.org/10.14529/cmse130403openalex-snapshot
KERNELGEN — A PROTOTYPE OF LLVM-BASED AUTO-PARALLELIZING C/FORTRAN COMPILER FOR NVIDIA GPUs
inferred← citeshttps://doi.org/10.1587/transinf.2015pap0015openalex-snapshot
Performance Evaluation of a 3D-Stencil Library for Distributed Memory Array Accelerators
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