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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/s10766-010-0161-2openalex-snapshot
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
inferredcites →https://doi.org/10.1016/0169-7439(87)80084-9openalex-snapshot
Principal component analysis
inferredcites →https://doi.org/10.1016/j.scico.2012.04.008openalex-snapshot
Sourcerer: An infrastructure for large-scale collection and analysis of open-source code
inferredcites →https://doi.org/10.1023/a:1015729001611openalex-snapshot
Adaptive Optimizing Compilers for the 21st Century
inferredcites →https://doi.org/10.1090/s0002-9947-1953-0053041-6openalex-snapshot
Classes of Recursively Enumerable Sets and Their Decision Problems
inferredcites →https://doi.org/10.1109/cgo.2004.1281665openalex-snapshot
LLVM: a compilation framework for lifelong program analysis & transformation
inferredcites →https://doi.org/10.1109/cgo.2005.29openalex-snapshot
Predicting Unroll Factors Using Supervised Classification
inferredcites →https://doi.org/10.1109/cgo.2013.6494993openalex-snapshot
Portable mapping of data parallel programs to OpenCL for heterogeneous systems
inferredcites →https://doi.org/10.1109/cgo.2013.6495004openalex-snapshot
Automatic construction of inlining heuristics using machine learning
inferredcites →https://doi.org/10.1109/icse.2017.45openalex-snapshot
Precise Condition Synthesis for Program Repair
inferredcites →https://doi.org/10.1109/pact.2017.24openalex-snapshot
End-to-End Deep Learning of Optimization Heuristics
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1145/115372.115320openalex-snapshot
Efficiently computing static single assignment form and the control dependence graph
inferredcites →https://doi.org/10.1145/2503210.2503268openalex-snapshot
A large-scale cross-architecture evaluation of thread-coarsening
inferredcites →https://doi.org/10.1145/2628071.2628087openalex-snapshot
Automatic optimization of thread-coarsening for graphics processors
inferredcites →https://doi.org/10.1145/2635868.2635883openalex-snapshot
Learning natural coding conventions
inferredcites →https://doi.org/10.1145/2786805.2786849openalex-snapshot
Suggesting accurate method and class names
inferredcites →https://doi.org/10.1145/2970276.2970341openalex-snapshot
Bugram: bug detection with n-gram language models
inferredcites →https://doi.org/10.1145/3192366.3192412openalex-snapshot
A general path-based representation for predicting program properties
inferredcites →https://doi.org/10.1145/3236024.3236085openalex-snapshot
Code vectors: understanding programs through embedded abstracted symbolic traces
inferredcites →https://doi.org/10.1145/3276517openalex-snapshot
DeepBugs: a learning approach to name-based bug detection
inferredcites →https://doi.org/10.1145/3290353openalex-snapshot
code2vec: learning distributed representations of code
inferredcites →https://doi.org/10.1145/3338906.3340458openalex-snapshot
When deep learning met code search
inferredcites →https://doi.org/10.1145/3360578openalex-snapshot
Aroma: code recommendation via structural code search
inferredcites →https://doi.org/10.1145/3368826.3377928openalex-snapshot
NeuroVectorizer: end-to-end vectorization with deep reinforcement learning
inferredcites →https://doi.org/10.1145/3377555.3377894openalex-snapshot
Compiler-based graph representations for deep learning models of code
inferredcites →https://doi.org/10.18653/v1/d18-2024openalex-snapshot
OpenKE: An Open Toolkit for Knowledge Embedding
inferredcites →https://doi.org/10.3115/v1/p15-1067openalex-snapshot
Knowledge Graph Embedding via Dynamic Mapping Matrix
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-56583-0_7openalex-snapshot
Optir-SBERT: Cross-Architecture Binary Code Similarity Detection Based on Optimized LLVM IR
inferred← citeshttps://doi.org/10.1007/978-3-032-07894-0_13openalex-snapshot
WelkIR: Flow-Sensitive Pre-trained Embeddings from Compiler IR for Vulnerability Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-40374-2_16openalex-snapshot
Heurix: A Framework to Automatically Learn Heuristics for Abstract Interpretation
inferred← citeshttps://doi.org/10.1007/978-981-95-9694-2_11openalex-snapshot
Compiler Tuning Method Based on Program Feature Extraction and Model Prediction
inferred← citeshttps://doi.org/10.1007/s00521-024-09819-3openalex-snapshot
Multi-class vulnerability prediction using value flow and graph neural networks
inferred← citeshttps://doi.org/10.1007/s10766-023-00758-5openalex-snapshot
A Hybrid Machine Learning Model for Code Optimization
inferred← citeshttps://doi.org/10.1007/s10766-024-00778-9openalex-snapshot
PragFormer: Data-Driven Parallel Source Code Classification with Transformers
inferred← citeshttps://doi.org/10.1007/s11432-023-3898-5openalex-snapshot
Learning to represent code semantics
inferred← citeshttps://doi.org/10.1007/s42514-025-00262-xopenalex-snapshot
Fast compiler autotuning framework using design of experiments
inferred← citeshttps://doi.org/10.1016/j.array.2025.100491openalex-snapshot
Binary2vec:Cross-architecture binary embeddings with global attention-enhanced graph neural networks
inferred← citeshttps://doi.org/10.1016/j.cola.2022.101171openalex-snapshot
Program representations for predictive compilation: State of affairs in the early 20’s
inferred← citeshttps://doi.org/10.1016/j.cola.2022.101188openalex-snapshot
A graph-based model for build optimization sequences: A study of optimization sequence length impacts on code size and speedup
inferred← citeshttps://doi.org/10.1016/j.cola.2024.101289openalex-snapshot
An empirical study on divergence of differently-sourced LLVM IRs
inferred← citeshttps://doi.org/10.1016/j.future.2026.108606openalex-snapshot
Mapo: Performance model driven GPU memory access code optimization
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107915openalex-snapshot
Artificial intelligence for source code understanding tasks: A systematic mapping study
inferred← citeshttps://doi.org/10.1016/j.jpdc.2023.104720openalex-snapshot
Optimizing Performance and Energy Across Problem Sizes Through a Search Space Exploration and Machine Learning
inferred← citeshttps://doi.org/10.1016/j.vlsi.2024.102315openalex-snapshot
ARS-Flow 2.0: An enhanced design space exploration flow for accelerator-rich system based on active learning
inferred← citeshttps://doi.org/10.1109/access.2025.3587104openalex-snapshot
On the Effectiveness of Automatic Code Generation for Synthetic Dataset Creation
inferred← citeshttps://doi.org/10.1109/access.2026.3663784openalex-snapshot
Transformation of Vulnerability Management Through Artificial Intelligence: An Overview of Generative and Learning Models
inferred← citeshttps://doi.org/10.1109/ai4s56813.2022.00010openalex-snapshot
Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/aiccsa66935.2025.11315253openalex-snapshot
A Deep Learning Model for Predicting Transformation Legality
inferred← citeshttps://doi.org/10.1109/asp-dac58780.2024.10473989openalex-snapshot
ARS-Flow: A Design Space Exploration Flow for Accelerator-rich System based on Active Learning
inferred← citeshttps://doi.org/10.1109/cscwd64889.2025.11033398openalex-snapshot
LLVMTuner: Predictive Compiler Optimization for LLVM IR Across Heterogeneous Platforms
inferred← citeshttps://doi.org/10.1109/fcce58525.2023.00008openalex-snapshot
Running P4 Programs on General Programmable Network Interconnection Chips
inferred← citeshttps://doi.org/10.1109/icnas53565.2021.9628950openalex-snapshot
Deep Learning and Classical Machine Learning for code mapping in Heterogeneous Platforms
inferred← citeshttps://doi.org/10.1109/ipdps57955.2024.00059openalex-snapshot
MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR
inferred← citeshttps://doi.org/10.1109/ipdps64566.2025.00054openalex-snapshot
Leveraging Compilation Statistics for Compiler Phase Ordering
inferred← citeshttps://doi.org/10.1109/ipdpsw63119.2024.00103openalex-snapshot
GraphBinMatch: Graph-Based Similarity Learning for Cross-Language Binary and Source Code Matching
inferred← citeshttps://doi.org/10.1109/ispass55109.2022.00012openalex-snapshot
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/itoec63606.2025.10968878openalex-snapshot
Reinforcement Learning for Automated Pragma-Based Loop Optimization
inferred← citeshttps://doi.org/10.1109/llvm-hpc56686.2022.00006openalex-snapshot
Reinforcement Learning assisted Loop Distribution for Locality and Vectorization
inferred← citeshttps://doi.org/10.1109/nnice61279.2024.10499062openalex-snapshot
Leveraging IR based sequence and graph features for source-binary code alignment
inferred← citeshttps://doi.org/10.1109/qrs-c60940.2023.00020openalex-snapshot
Hierarchical Semantic Graph Construction and Pooling Approach for Cross-language Code Retrieval
inferred← citeshttps://doi.org/10.1109/saner53432.2022.00077openalex-snapshot
Cross-Language Binary-Source Code Matching with Intermediate Representations
inferred← citeshttps://doi.org/10.1109/saner60148.2024.00075openalex-snapshot
Reducing False Positives of Static Bug Detectors Through Code Representation Learning
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00072openalex-snapshot
Learning Generalizable Program and Architecture Representations for Performance Modeling
inferred← citeshttps://doi.org/10.1109/scw63240.2024.00131openalex-snapshot
Evaluating Tuning Opportunities of the LLVM/OpenMP Runtime
inferred← citeshttps://doi.org/10.1109/tcad.2021.3114617openalex-snapshot
Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping
inferred← citeshttps://doi.org/10.1109/trustcom56396.2022.00046openalex-snapshot
CPGBERT: An Effective Model for Defect Detection by Learning Program Semantics via Code Property Graph
inferred← citeshttps://doi.org/10.1145/3475061.3475083openalex-snapshot
A Graph-based Model for Building Optimization Sequences
inferred← citeshttps://doi.org/10.1145/3524610.3527887openalex-snapshot
Fine-grained code-comment semantic interaction analysis
inferred← citeshttps://doi.org/10.1145/3542637.3542649openalex-snapshot
Packet Processing Algorithm Identification using Program Embeddings
inferred← citeshttps://doi.org/10.1145/3561320.3561322openalex-snapshot
Impacto de Ofuscadores e Otimizadores de Código na Acurácia de Classificadores de Programas
inferred← citeshttps://doi.org/10.1145/3577193.3593714openalex-snapshot
Performance Embeddings: A Similarity-Based Transfer Tuning Approach to Performance Optimization
inferred← citeshttps://doi.org/10.1145/3578360.3580273openalex-snapshot
RL4ReAl: Reinforcement Learning for Register Allocation
inferred← citeshttps://doi.org/10.1145/3579990.3580012openalex-snapshot
A Game-Based Framework to Compare Program Classifiers and Evaders
inferred← citeshttps://doi.org/10.1145/3588195.3592984openalex-snapshot
Performance Optimization using Multimodal Modeling and Heterogeneous GNN
inferred← citeshttps://doi.org/10.1145/3597503.3608136openalex-snapshot
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations
inferred← citeshttps://doi.org/10.1145/3597503.3623345openalex-snapshot
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection
inferred← citeshttps://doi.org/10.1145/3597503.3639129openalex-snapshot
Prism: Decomposing Program Semantics for Code Clone Detection through Compilation
inferred← citeshttps://doi.org/10.1145/3620665.3640382openalex-snapshot
Plankton: Reconciling Binary Code and Debug Information
inferred← citeshttps://doi.org/10.1145/3640537.3641580openalex-snapshot
The Next 700 ML-Enabled Compiler Optimizations
inferred← citeshttps://doi.org/10.1145/3640537.3641582openalex-snapshot
Exponentially Expanding the Phase-Ordering Search Space via Dormant Information
inferred← citeshttps://doi.org/10.1145/3649329.3655898openalex-snapshot
G2PM: Performance Modeling for ACAP Architecture with Dual-Tiered Graph Representation Learning
inferred← citeshttps://doi.org/10.1145/3656019.3676895openalex-snapshot
MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations
inferred← citeshttps://doi.org/10.1145/3664597openalex-snapshot
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
inferred← citeshttps://doi.org/10.1145/3696443.3708959openalex-snapshot
Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization
inferred← citeshttps://doi.org/10.1145/3708493.3712680openalex-snapshot
A Comparative Study on the Accuracy and the Speed of Static and Dynamic Program Classifiers
inferred← citeshttps://doi.org/10.1145/3708493.3712683openalex-snapshot
Data-Efficient Performance Modeling via Pre-training
inferred← citeshttps://doi.org/10.1145/3711542.3711566openalex-snapshot
Cross-Language Code Matching with IR2Vec and Cross-Entropy Loss
inferred← citeshttps://doi.org/10.1145/3721145.3725765openalex-snapshot
DeCOS: Data-Efficient Reinforcement Learning for Compiler Optimization Selection Ignited by LLM
inferred← citeshttps://doi.org/10.1145/3721481openalex-snapshot
VexIR2Vec : An Architecture-Neutral Embedding Framework for Binary Similarity
inferred← citeshttps://doi.org/10.1145/3727638openalex-snapshot
Supporting Dynamic Program Sizes in Deep Learning-Based Cost Models for Code Optimization
inferred← citeshttps://doi.org/10.1145/3795879openalex-snapshot
Compiler Optimization-Based SMT Simplifications: An In-Depth Study
inferred← citeshttps://doi.org/10.1145/3797905.3807863openalex-snapshot
Harnessing MPI mutations for AI error detection
inferred← citeshttps://doi.org/10.1145/3801975openalex-snapshot
OSRC-RL: Optimizing Software Reliability at Compile-Time Using Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/3808099openalex-snapshot
Large Language Models for Opaque Predicate Resolution: A Universal Control Flow Deobfuscation Framework
inferred← citeshttps://doi.org/10.1145/3814943.3816172openalex-snapshot
RAPO: Retrieval-Augmented Phase Ordering
inferred← citeshttps://doi.org/10.1145/3820771openalex-snapshot
PredComp: Predicting Compiler Optimization Options with Multi-stage Learning
inferred← citeshttps://doi.org/10.1145/3831596openalex-snapshot
Protean Compiler: An Agile Framework to Drive Fine-grain Phase Ordering
inferred← citeshttps://doi.org/10.1145/3832783.3837444openalex-snapshot
Lost in Translation, Found in Summary: Summary-Driven Supervision for Cross-Language Code Retrieval
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.01312103openalex-snapshot
BBVD: A BERT-based Method for Vulnerability Detection
inferred← citeshttps://doi.org/10.1609/aaai.v38i16.29749openalex-snapshot
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection
inferred← citeshttps://doi.org/10.20537/2076-7633-2023-15-1-211-224openalex-snapshot
Performance prediction for chosen types of loops over one-dimensional arrays with embedding-driven intermediate representations analysis
inferred← citeshttps://doi.org/10.23919/isc.2024.10528929openalex-snapshot
HPC-Coder: Modeling Parallel Programs using Large Language Models
inferred← citeshttps://doi.org/10.23919/mipro55190.2022.9803630openalex-snapshot
Towards intelligent compiler optimization
inferred← citeshttps://doi.org/10.31274/td-20240329-185openalex-snapshot
Cross-language binary-to-source code matching approach using graph neural networks
inferred← citeshttps://doi.org/10.31274/td-20240329-302openalex-snapshot
Evaluation of Graph Neural Networks for code pattern detection and autotuning of OpenMP loops
inferred← citeshttps://doi.org/10.3389/frobt.2026.1731740openalex-snapshot
Control flow graph based code optimization using graph neural networks
inferred← citeshttps://doi.org/10.3390/electronics11193230openalex-snapshot
DFSGraph: Data Flow Semantic Model for Intermediate Representation Programs Based on Graph Network
inferred← citeshttps://doi.org/10.3390/jlpea12030037openalex-snapshot
Deep Learning Approaches to Source Code Analysis for Optimization of Heterogeneous Systems: Recent Results, Challenges and Opportunities
inferred← citeshttps://doi.org/10.3390/make7040125openalex-snapshot
Classification of Obfuscation Techniques in LLVM IR: Machine Learning on Vector Representations
inferred← citeshttps://doi.org/10.5204/thesis.eprints.251655openalex-snapshot
Scalable Machine Learning Methods and Datasets for Software Vulnerability Detection
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