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Fast, automatic, procedure-level performance tuning

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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/bfb0094916openalex-snapshot

A feasibility study in iterative compilation

inferredcites →https://doi.org/10.1016/0096-0551(93)90005-lopenalex-snapshot

A methodology for procedure cloning

inferredcites →https://doi.org/10.1080/00401706.2000.10485735openalex-snapshot

Orthogonal Arrays: Theory and Applications

inferredcites →https://doi.org/10.1109/cgo.2006.38openalex-snapshot

Fast and Effective Orchestration of Compiler Optimizations for Automatic Performance Tuning

inferredcites →https://doi.org/10.1109/mascot.2004.1348305openalex-snapshot

Statistical selection of compiler options

inferredcites →https://doi.org/10.1109/sc.2004.47openalex-snapshot

Rating Compiler Optimizations for Automatic Performance Tuning

inferredcites →https://doi.org/10.1145/780822.781141openalex-snapshot

Meta optimization

inferredcites →https://doi.org/10.1145/781131.781141openalex-snapshot

Meta optimization

inferredcites →https://doi.org/10.1145/800230.806987openalex-snapshot

Gprof

inferredcites →https://doi.org/10.5555/509058.509096openalex-snapshot

Automatically Tuned Linear Algebra Software

What points at this work

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

inferred← citeshttps://doi.org/10.1002/spe.1089openalex-snapshot

POET: a scripting language for applying parameterized source‐to‐source program transformations

inferred← citeshttps://doi.org/10.1007/978-1-4419-6935-4_19openalex-snapshot

Efficient Program Compilation Through Machine Learning Techniques

inferred← citeshttps://doi.org/10.1007/978-3-319-29778-1_6openalex-snapshot

Interactive Composition of Compiler Optimizations

inferred← citeshttps://doi.org/10.1007/978-3-642-13374-9_9openalex-snapshot

Automatically Tuning Parallel and Parallelized Programs

inferred← citeshttps://doi.org/10.1007/978-3-642-24403-2_23openalex-snapshot

Hardware Performance Monitoring for the Rest of Us: A Position and Survey

inferred← citeshttps://doi.org/10.1016/j.procs.2011.04.236openalex-snapshot

Extensive Parameterization And Tuning of Architecture-Sensitive Optimizations

inferred← citeshttps://doi.org/10.1109/access.2022.3147846openalex-snapshot

A Survey of Performance Tuning Techniques and Tools for Parallel Applications

inferred← citeshttps://doi.org/10.1109/cgo.2007.32openalex-snapshot

Rapidly Selecting Good Compiler Optimizations using Performance Counters

inferred← citeshttps://doi.org/10.1109/cgo.2009.26openalex-snapshot

OptiScope: Performance Accountability for Optimizing Compilers

inferred← citeshttps://doi.org/10.1109/cgo.2011.5764678openalex-snapshot

Automated programmable control and parameterization of compiler optimizations

inferred← citeshttps://doi.org/10.1109/clustr.2008.4663758openalex-snapshot

Workflows for performance evaluation and tuning

inferred← citeshttps://doi.org/10.1109/icess.2009.86openalex-snapshot

An Automatic Compiler Optimizations Selection Framework for Embedded Applications

inferred← citeshttps://doi.org/10.1109/ipdps.2008.4536399openalex-snapshot

Adaptive tuning in a dynamically changing resource environment

inferred← citeshttps://doi.org/10.1109/mc.2009.385openalex-snapshot

Cetus: A Source-to-Source Compiler Infrastructure for Multicores

inferred← citeshttps://doi.org/10.1109/mcsoc.2017.31openalex-snapshot

A Study of Conflicting Pairs of Compiler Optimizations

inferred← citeshttps://doi.org/10.1109/micro.2014.14openalex-snapshot

Specializing Compiler Optimizations through Programmable Composition for Dense Matrix Computations

inferred← citeshttps://doi.org/10.1109/pact.2009.12openalex-snapshot

Chainsaw: Using Binary Matching for Relative Instruction Mix Comparison

inferred← citeshttps://doi.org/10.1145/1167473.1167492openalex-snapshot

Method-specific dynamic compilation using logistic regression

inferred← citeshttps://doi.org/10.1145/1167515.1167492openalex-snapshot

Method-specific dynamic compilation using logistic regression

inferred← citeshttps://doi.org/10.1145/1176760.1176765openalex-snapshot

Automatic performance model construction for the fast software exploration of new hardware designs

inferred← citeshttps://doi.org/10.1145/1242531.1242553openalex-snapshot

Fast compiler optimisation evaluation using code-feature based performance prediction

inferred← citeshttps://doi.org/10.1145/1356058.1356080openalex-snapshot

Cole

inferred← citeshttps://doi.org/10.1145/1944862.1944880openalex-snapshot

Automated empirical tuning of scientific codes for performance and power consumption

inferred← citeshttps://doi.org/10.1145/2150976.2150983openalex-snapshot

Iterative optimization for the data center

inferred← citeshttps://doi.org/10.1145/2189750.2150983openalex-snapshot

Iterative optimization for the data center

inferred← citeshttps://doi.org/10.1145/2248487.2150983openalex-snapshot

Iterative optimization for the data center

inferred← citeshttps://doi.org/10.1145/2355585.2355594openalex-snapshot

Deconstructing iterative optimization

inferred← citeshttps://doi.org/10.1145/2724717openalex-snapshot

CERE

inferred← citeshttps://doi.org/10.1145/3276496openalex-snapshot

An empirical study of the effect of source-level loop transformations on compiler stability

inferred← citeshttps://doi.org/10.31390/gradschool_dissertations.4091openalex-snapshot

Compiler and Runtime Optimization Techniques for Implementation Scalable Parallel Applications

inferred← citeshttps://doi.org/10.5445/ir/1000019178openalex-snapshot

Search Algorithms for Automatic Performance Tuning of Parallel Applications on Multicore Platforms

inferred← citeshttps://doi.org/10.5555/2190025.2190057openalex-snapshot

Automated programmable control and parameterization of compiler optimizations

inferred← citeshttps://doi.org/10.7939/r37w4hopenalex-snapshot

Applying support vector machines to discover just-in-time method-specific compilation strategies

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