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A feasibility study in iterative compilation
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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/bfb0002894openalex-snapshot
OCEANS: Optimizing compilers for embedded applications
inferredcites →https://doi.org/10.1007/bfb0057974openalex-snapshot
OCEANS: Optimising compilers for embedded applicatioNS
inferredcites →https://doi.org/10.1023/a:1018754616274openalex-snapshot
Combining Loop Transformations Considering Caches and Scheduling
inferredcites →https://doi.org/10.1109/sc.1998.10004openalex-snapshot
Automatically Tuned Linear Algebra Software
inferredcites →https://doi.org/10.1112/plms/s2-42.1.230openalex-snapshot
On Computable Numbers, with an Application to the Entscheidungsproblem
inferredcites →https://doi.org/10.1145/207110.207162openalex-snapshot
Tile size selection using cache organization and data layout
inferredcites →https://doi.org/10.1145/2591635.2667174openalex-snapshot
Optimizing matrix multiply using PHiPAC
inferredcites →https://doi.org/10.1145/263580.263662openalex-snapshot
Optimizing matrix multiply using PHiPAC
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ATLAS Version 3.9: Overview and Status
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Fast and Effective Orchestration of Compiler Optimizations for Automatic Performance Tuning
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Evaluating Heuristic Optimization Phase Order Search Algorithms
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A Study on Optimizing Execution Time and Code Size in Iterative Compilation
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A Lightweight Iterative Compilation Approach for Optimization Parameter Selection
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Automatic Library Generation for BLAS3 on GPUs
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A Survey on Compiler Autotuning using Machine Learning
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Runtime multi-versioning and specialization inside a memoized speculative loop optimizer
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Object Intersection Captures on Interactive Apps to Drive a Crowd-sourced Replay-based Compiler Optimization
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Systematic search within an optimisation space based on Unified Transformation Framework
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Iterative compilation on mobile devices
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Combined Selection of Tile Sizes and Unroll Factors Using Iterative Compilation
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