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OCEANS: Optimizing compilers for embedded applications

https://doi.org/10.1007/bfb0002894
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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4615-2323-9_3openalex-snapshot
Challenges in Code Generation for Embedded Processors
inferredcites →https://doi.org/10.1007/bf01205185openalex-snapshot
The superblock: An effective technique for VLIW and superscalar compilation
inferredcites →https://doi.org/10.1007/bf02577737openalex-snapshot
Decomposed software pipelining: A new perspective and a new approach
inferredcites →https://doi.org/10.1007/bfb0094916openalex-snapshot
A feasibility study in iterative compilation
inferredcites →https://doi.org/10.1109/5.476079openalex-snapshot
Compiler technology for future microprocessors
inferredcites →https://doi.org/10.1109/icdsp.1997.628534openalex-snapshot
Compiling multimedia applications on VLIW architecture
inferredcites →https://doi.org/10.1109/pact.1996.552672openalex-snapshot
Combining optimization for cache and instruction-level parallelism
inferredcites →https://doi.org/10.1145/197320.197366openalex-snapshot
Improving the ratio of memory operations to floating-point operations in loops
inferredcites →https://doi.org/10.1145/2591635.2667174openalex-snapshot
Optimizing matrix multiply using PHiPAC
inferredcites →https://doi.org/10.5555/224659.224937openalex-snapshot
The meeting graph: a new model for loop cyclic register allocation
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/10.1007/11532378_12openalex-snapshot
An ILP-Based Approach to Locality Optimization
inferred← citeshttps://doi.org/10.1007/3-540-48311-x_165openalex-snapshot
OCEANS - Optimising Compilers for Embedded Applications⋆
inferred← citeshttps://doi.org/10.1007/978-3-540-27866-5_38openalex-snapshot
A Polyhedral Approach to Ease the Composition of Program Transformations
inferred← citeshttps://doi.org/10.1007/bfb0037249openalex-snapshot
Evaluation of two compiler-based approaches for the parallelisation of an MPEG-2 decoder
inferred← citeshttps://doi.org/10.1007/bfb0057974openalex-snapshot
OCEANS: Optimising compilers for embedded applicatioNS
inferred← citeshttps://doi.org/10.1007/bfb0094916openalex-snapshot
A feasibility study in iterative compilation
inferred← citeshttps://doi.org/10.1016/j.cl.2009.01.001openalex-snapshot
Feedback-directed specialization of code
inferred← citeshttps://doi.org/10.1016/j.cl.2011.08.001openalex-snapshot
Improving performance through deep value profiling and specialization with code transformation
inferred← citeshttps://doi.org/10.1023/a:1020989410030openalex-snapshot
Combined Selection of Tile Sizes and Unroll Factors Using Iterative Compilation
inferred← citeshttps://doi.org/10.1109/cgo.2003.1191546openalex-snapshot
Compiler optimization-space exploration
inferred← citeshttps://doi.org/10.1109/cgo.2011.5764669openalex-snapshot
MAO — An extensible micro-architectural optimizer
inferred← citeshttps://doi.org/10.1109/iccad.2008.4681635openalex-snapshot
Integrated code and data placement in two-dimensional mesh based chip multiprocessors
inferred← citeshttps://doi.org/10.1109/icdsp.1997.628534openalex-snapshot
Compiling multimedia applications on VLIW architecture
inferred← citeshttps://doi.org/10.1109/vlsid.2007.77openalex-snapshot
Enhancing Locality in Two-Dimensional Space through Integrated Computation and Data Mappings
inferred← citeshttps://doi.org/10.1117/12.3031912openalex-snapshot
Optimization of parallel compilation techniques using genetic algorithms
inferred← citeshttps://doi.org/10.1145/1128022.1128042openalex-snapshot
On the decidability of phase ordering problem in optimizing compilation
inferred← citeshttps://doi.org/10.1145/1363686.1363741openalex-snapshot
Optimizing code through iterative specialization
inferred← citeshttps://doi.org/10.1145/2400682.2400690openalex-snapshot
A script-based autotuning compiler system to generate high-performance CUDA code
inferred← citeshttps://doi.org/10.1145/3124452openalex-snapshot
MiCOMP
inferred← citeshttps://doi.org/10.1145/3197978openalex-snapshot
A Survey on Compiler Autotuning using Machine Learning
inferred← citeshttps://doi.org/10.1145/3453483.3454043openalex-snapshot
Developer and user-transparent compiler optimization for interactive applications
inferred← citeshttps://doi.org/10.1145/3517338openalex-snapshot
Object Intersection Captures on Interactive Apps to Drive a Crowd-sourced Replay-based Compiler Optimization
inferred← citeshttps://doi.org/10.1145/643470.643472openalex-snapshot
Array recovery and high-level transformations for DSP applications
inferred← citeshttps://doi.org/10.1155/2014/797348openalex-snapshot
Collective Mind: Towards Practical and Collaborative Auto-Tuning
inferred← citeshttps://doi.org/10.1177/1094342013493644openalex-snapshot
Towards making autotuning mainstream
inferred← citeshttps://doi.org/10.2493/jspe.70.349openalex-snapshot
Study on Fitting a Model and 3D Range Points using Superquadrics
inferred← citeshttps://doi.org/10.48550/arxiv.1308.2410openalex-snapshot
Collective Mind: cleaning up the research and experimentation mess in computer engineering using crowdsourcing, big data and machine learning
inferred← citeshttps://doi.org/10.48550/arxiv.1407.3487openalex-snapshot
Artifact Evaluation Experience CGO'15 / PPoPP'15
inferred← citeshttps://doi.org/10.48550/arxiv.1506.06256openalex-snapshot
Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science
inferred← citeshttps://doi.org/10.48550/arxiv.1511.02603openalex-snapshot
Iterative compilation on mobile devices
inferred← citeshttps://doi.org/10.48550/arxiv.1801.08024openalex-snapshot
A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques
inferred← citeshttps://doi.org/10.5555/517554.825767openalex-snapshot
Combined Selection of Tile Sizes and Unroll Factors Using Iterative Compilation
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