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Autotuning Stencil Computations with Structural Ordinal Regression Learning

https://doi.org/10.1109/ipdps.2017.102

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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4419-1665-5openalex-snapshot

Handbook of Metaheuristics

inferredcites →https://doi.org/10.1007/978-3-319-14325-5_40openalex-snapshot

Reproducible Experiments in Parallel Computing: Concepts and Stencil Compiler Benchmark Study

inferredcites →https://doi.org/10.1007/978-3-540-74466-5_13openalex-snapshot

Decision Trees and MPI Collective Algorithm Selection Problem

inferredcites →https://doi.org/10.1007/978-3-642-19861-8_13openalex-snapshot

Data Layout Transformation for Stencil Computations on Short-Vector SIMD Architectures

inferredcites →https://doi.org/10.1007/978-3-642-19861-8_16openalex-snapshot

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

inferredcites →https://doi.org/10.1007/978-3-642-28652-0_6openalex-snapshot

Analytical Bounds for Optimal Tile Size Selection

inferredcites →https://doi.org/10.1007/978-3-662-48096-0_21openalex-snapshot

Automatic Data Layout Optimizations for GPUs

inferredcites →https://doi.org/10.1023/a:1013689704352openalex-snapshot

Finite-time Analysis of the Multiarmed Bandit Problem

inferredcites →https://doi.org/10.1057/jors.2013.151openalex-snapshot

Handbook of Metaheuristics (2nd edition)

inferredcites →https://doi.org/10.1088/1742-6596/16/1/071openalex-snapshot

OSKI: A library of automatically tuned sparse matrix kernels

inferredcites →https://doi.org/10.1109/4235.585893openalex-snapshot

No free lunch theorems for optimization

inferredcites →https://doi.org/10.1109/cgo.2005.29openalex-snapshot

Predicting Unroll Factors Using Supervised Classification

inferredcites →https://doi.org/10.1109/cgo.2006.37openalex-snapshot

Using Machine Learning to Focus Iterative Optimization

inferredcites →https://doi.org/10.1109/cgo.2009.21openalex-snapshot

Automatic Feature Generation for Machine Learning Based Optimizing Compilation

inferredcites →https://doi.org/10.1109/icpp.2011.47openalex-snapshot

Cache Accurate Time Skewing in Iterative Stencil Computations

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/ipdps.2014.59openalex-snapshot

Nitro: A Framework for Adaptive Code Variant Tuning

inferredcites →https://doi.org/10.1109/ipdps.2016.87openalex-snapshot

Optimization of an Electromagnetics Code with Multicore Wavefront Diamond Blocking and Multi-dimensional Intra-Tile Parallelization

inferredcites →https://doi.org/10.1109/pact.2013.6618792openalex-snapshot

INSPIRE: the insieme parallel intermediate representation

inferredcites →https://doi.org/10.1109/sc.2002.10062openalex-snapshot

Active Harmony: Towards Automated Performance Tuning

inferredcites →https://doi.org/10.1109/sc.2008.5222004openalex-snapshot

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

inferredcites →https://doi.org/10.1109/sc.2012.107openalex-snapshot

Tiling stencil computations to maximize parallelism

inferredcites →https://doi.org/10.1109/sc.2012.95openalex-snapshot

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

inferredcites →https://doi.org/10.1109/sc.2014.21openalex-snapshot

Scalable Kernel Fusion for Memory-Bound GPU Applications

inferredcites →https://doi.org/10.1109/sc.2014.70openalex-snapshot

A Study on Balancing Parallelism, Data Locality, and Recomputation in Existing PDE Solvers

inferredcites →https://doi.org/10.1109/tpds.2012.160openalex-snapshot

Autogeneration and Autotuning of 3D Stencil Codes on Homogeneous and Heterogeneous GPU Clusters

inferredcites →https://doi.org/10.1109/wolfhpc.2016.08openalex-snapshot

YASK—Yet Another Stencil Kernel: A Framework for HPC Stencil Code-Generation and Tuning

inferredcites →https://doi.org/10.1145/1006209.1006243openalex-snapshot

Adaptive java optimisation using instance-based learning

inferredcites →https://doi.org/10.1145/1065944.1065981openalex-snapshot

A framework for adaptive algorithm selection in STAPL

inferredcites →https://doi.org/10.1145/1150402.1150429openalex-snapshot

Training linear SVMs in linear time

inferredcites →https://doi.org/10.1145/1167473.1167492openalex-snapshot

Method-specific dynamic compilation using logistic regression

inferredcites →https://doi.org/10.1145/1542476.1542481openalex-snapshot

PetaBricks

inferredcites →https://doi.org/10.1145/1989493.1989508openalex-snapshot

The pochoir stencil compiler

inferredcites →https://doi.org/10.1145/2086696.2086729openalex-snapshot

Using machine learning to improve automatic vectorization

inferredcites →https://doi.org/10.1145/2259016.2259044openalex-snapshot

Hierarchical overlapped tiling

inferredcites →https://doi.org/10.1145/2464996.2465007openalex-snapshot

An automatic input-sensitive approach for heterogeneous task partitioning

inferredcites →https://doi.org/10.1145/2491956.2462176openalex-snapshot

Halide

inferredcites →https://doi.org/10.1145/2579561openalex-snapshot

Integrating profile-driven parallelism detection and machine-learning-based mapping

inferredcites →https://doi.org/10.1145/2628071.2628092openalex-snapshot

OpenTuner

inferredcites →https://doi.org/10.1145/2751205.2751214openalex-snapshot

FAST

inferredcites →https://doi.org/10.1145/2751205.2751223openalex-snapshot

MODESTO

inferredcites →https://doi.org/10.1145/2751205.2751226openalex-snapshot

Parameterized Diamond Tiling for Stencil Computations with Chapel parallel iterators

inferredcites →https://doi.org/10.1145/2751205.2751240openalex-snapshot

Quantifying Performance Bottlenecks of Stencil Computations Using the Execution-Cache-Memory Model

inferredcites →https://doi.org/10.1145/775047.775067openalex-snapshot

Optimizing search engines using clickthrough data

inferredcites →https://doi.org/10.2307/2226580openalex-snapshot

Rank Correlation Methods.

inferredcites →https://doi.org/10.7551/mitpress/7443.001.0001openalex-snapshot

Predicting Structured Data

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-24289-3_49openalex-snapshot

Towards a Learning-Based Performance Modeling for Accelerating Deep Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-030-85665-6_1openalex-snapshot

ALONA: Automatic Loop Nest Approximation with Reconstruction and Space Pruning

inferred← citeshttps://doi.org/10.1016/j.future.2020.10.014openalex-snapshot

Easy and efficient agent-based simulations with the OpenABL language and compiler

inferred← citeshttps://doi.org/10.1109/ipdps53621.2022.00090openalex-snapshot

StencilMART: Predicting Optimization Selection for Stencil Computations across GPUs

inferred← citeshttps://doi.org/10.1109/ipdpsw.2019.00128openalex-snapshot

Learning with Analytical Models

inferred← citeshttps://doi.org/10.1109/tpds.2023.3325630openalex-snapshot

Adaptive Auto-Tuning Framework for Global Exploration of Stencil Optimization on GPUs

inferred← citeshttps://doi.org/10.1145/3078659.3078664openalex-snapshot

Stencil Autotuning with Ordinal Regression

inferred← citeshttps://doi.org/10.1145/3434402openalex-snapshot

On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond

inferred← citeshttps://doi.org/10.1145/3721145.3725768openalex-snapshot

Accelerating Complex Stencil Computations with Adaptive Fusion Strategy

inferred← citeshttps://doi.org/10.1145/3801488.3806240openalex-snapshot

LibreRT: Portable Heterogeneous Real-Time Programming for the Embedded Computing Continuum

inferred← citeshttps://doi.org/10.1177/1094342019828153openalex-snapshot

Performance portable parallel programming of heterogeneous stencils across shared-memory platforms with modern Intel processors

inferred← citeshttps://doi.org/10.1177/10943420261465457openalex-snapshot

swAllies: A library for high-efficiency data sharing on SW26010 processor

inferred← citeshttps://doi.org/10.3390/computation8020037openalex-snapshot

Accurate Energy and Performance Prediction for Frequency-Scaled GPU Kernels

inferred← citeshttps://doi.org/10.48550/arxiv.1806.07060openalex-snapshot

A model-driven approach for a new generation of adaptive libraries

inferred← citeshttps://doi.org/10.48550/arxiv.2103.09235openalex-snapshot

Reducing Redundancy in Data Organization and Arithmetic Calculation for Stencil Computations

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