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Parameterizing loop fusion for automated empirical tuning

https://doi.org/10.2172/890608
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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-45545-0_18openalex-snapshot
A Modal Model of Memory
inferredcites →https://doi.org/10.1007/3-540-45545-0_21openalex-snapshot
Statistical Models for Automatic Performance Tuning
inferredcites →https://doi.org/10.1007/978-3-540-69330-7_8openalex-snapshot
A Cache-Conscious Profitability Model for Empirical Tuning of Loop Fusion
inferredcites →https://doi.org/10.1007/s11227-006-7957-2openalex-snapshot
Automatic tuning of whole applications using direct search and a performance-based transformation system
inferredcites →https://doi.org/10.1016/s0167-8191(00)00034-xopenalex-snapshot
On the complexity of loop fusion
inferredcites →https://doi.org/10.1023/a:1015729001611openalex-snapshot
Adaptive Optimizing Compilers for the 21st Century
inferredcites →https://doi.org/10.1109/cgo.2005.10openalex-snapshot
Combining Models and Guided Empirical Search to Optimize for Multiple Levels of the Memory Hierarchy
inferredcites →https://doi.org/10.1109/cgo.2005.29openalex-snapshot
Predicting Unroll Factors Using Supervised Classification
inferredcites →https://doi.org/10.1109/hpdc.1999.805284openalex-snapshot
Portable petaFLOP/s programming: applying distributed computing methodology to the grid within a single machine room
inferredcites →https://doi.org/10.1109/jproc.2004.840301openalex-snapshot
The Design and Implementation of FFTW3
inferredcites →https://doi.org/10.1109/jproc.2004.840306openalex-snapshot
SPIRAL: Code Generation for DSP Transforms
inferredcites →https://doi.org/10.1109/jproc.2004.840311openalex-snapshot
Synthesis of High-Performance Parallel Programs for a Class of ab Initio Quantum Chemistry Models
inferredcites →https://doi.org/10.1109/jproc.2004.840444openalex-snapshot
Is Search Really Necessary to Generate High-Performance BLAS?
inferredcites →https://doi.org/10.1109/jproc.2004.840848openalex-snapshot
Self-Adapting Linear Algebra Algorithms and Software
inferredcites →https://doi.org/10.1145/1055531.1055532openalex-snapshot
The science of deriving dense linear algebra algorithms
inferredcites →https://doi.org/10.1145/197405.197406openalex-snapshot
Compiler transformations for high-performance computing
inferredcites →https://doi.org/10.1145/335231.335244openalex-snapshot
Fast greedy weighted fusion
inferredcites →https://doi.org/10.1145/780822.781141openalex-snapshot
Meta optimization
inferredcites →https://doi.org/10.1177/1094342004038956openalex-snapshot
Improving Memory Hierarchy Performance through Combined Loop Interchange and Multi-Level Fusion
inferredcites →https://doi.org/10.5555/370049.370424openalex-snapshot
A Scalable Cross-Platform Infrastructure for Application Performance Tuning Using Hardware Counters
inferredcites →https://doi.org/10.5555/517554.825767openalex-snapshot
Combined Selection of Tile Sizes and Unroll Factors Using Iterative Compilation

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-540-89740-8_24openalex-snapshot
Exploring the Optimization Space of Dense Linear Algebra Kernels
inferred← citeshttps://doi.org/10.1016/j.procs.2010.04.209openalex-snapshot
Understanding memory effects in the automated generation of optimized matrix algebra kernels
inferred← citeshttps://doi.org/10.1109/icpp.2015.106openalex-snapshot
Generating Efficient Tensor Contractions for GPUs
inferred← citeshttps://doi.org/10.1109/ipdps.2007.370637openalex-snapshot
POET: Parameterized Optimizations for Empirical Tuning
inferred← citeshttps://doi.org/10.1145/1183401.1183437openalex-snapshot
Profitable loop fusion and tiling using model-driven empirical search
inferred← citeshttps://doi.org/10.1145/1512762.1512773openalex-snapshot
Automated transformation for performance-critical kernels
inferred← citeshttps://doi.org/10.1145/1654059.1654119openalex-snapshot
Automating the generation of composed linear algebra kernels
inferred← citeshttps://doi.org/10.1145/2629698openalex-snapshot
Reliable Generation of High-Performance Matrix Algebra
inferred← citeshttps://doi.org/10.1504/ijhpsa.2008.021798openalex-snapshot
Model-guided empirical tuning of loop fusion
inferred← citeshttps://doi.org/10.31390/gradschool_dissertations.3717openalex-snapshot
Search-based Model-driven Loop Optimizations for Tensor Contractions
inferred← citeshttps://doi.org/10.48550/arxiv.1205.1098openalex-snapshot
Reliable Generation of High-Performance Matrix Algebra
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