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A Two-Stage LLVM Option Sequence Optimization Method to Minimize Energy Consumption

Swarm and evolutionary computation, 2024-07, Vol.88, Article 101591

2024

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Conflict-aware compiler for hierarchical register file on GPUs

Journal of systems architecture, 2024-04, Vol.149, Article 103099

2024

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Revealing Compiler Heuristics Through Automated Discovery and Optimization

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.55-66

2024

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Tsoa: a two-stage optimization approach for GCC compilation options to minimize execution time

Automated software engineering, 2024-11, Vol.31 (2), p.39

2024

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Multicore soft error reliability assessment and evaluation of Compiler optimization flag Effects on ARMv7 and ARMv8

2023 IEEE 20th India Council International Conference (INDICON), 2023, p.555-560

2023

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Analyzing and revivifying function signature inference using deep learning

Empirical software engineering : an international journal, 2024-05, Vol.29 (3), p.69

2024

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Automatic Compiler-Based Optimizations for Deep Neural Networks

Zheng, Bojian

2024

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ProQuest

Instruction Scheduling for the GPU on the GPU

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.435-447

2024

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Data for the paper: "Assessing the Impact of Compiler Optimizations on GPUs Reliability"

Fernandes dos Santos, Fernando

2024

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Early-Stage Non-Conventional Hardware Accelerator Discovery via Optimization Methods and Compiler Analysis

Brumar, Iulian

2023

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ProQuest

oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.460-470

2024

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Hydra: Generalizing Peephole Optimizations with Program Synthesis

Proceedings of ACM on programming languages, 2024-04, Vol.8 (OOPSLA1), p.725-753, Article 120

2024

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Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.106-118

2024

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Function-Level Compilation Provenance Identification with Multi-Faceted Neural Feature Distillation and Fusion

Electronics (Basel), 2024-05, Vol.13 (9), p.1692

2024

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PROMPT: A Fast and Extensible Memory Profiling Framework

Proceedings of ACM on programming languages, 2024-04, Vol.8 (OOPSLA1), p.449-473, Article 110

2024

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Optimisation de la compilation de déparseurs pour processeurs réseau implémentés sur FPGA

Luinaud, Thomas

2022

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ProQuest

A graph-based methodology for constructing computational models that automates adjoint-based sensitivity analysis

Structural and multidisciplinary optimization, 2024-05, Vol.67 (5), p.76

2024

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PolyTOPS: Reconfigurable and Flexible Polyhedral Scheduler

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.28-40

2024

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Whose Baseline Compiler is it Anyway?

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.207-220

Titzer, Ben L.

2024

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Experiences Building an MLIR-Based SYCL Compiler

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.399-410

2024

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A Tensor Algebra Compiler for Sparse Differentiation

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.1-12

2024

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Enabling Fine-Grained Incremental Builds by Making Compiler Stateful

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.221-232

2024

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Compiler Provenance Recovery for Multi-CPU Architectures Using a Centrifuge Mechanism

IEEE access, 2024-01, Vol.12, p.1-1

2024

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Compile-Time Analysis of Compiler Frameworks for Query Compilation

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.233-244

2024

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GraalSP: Polyglot, efficient, and robust machine learning-based static profiler

The Journal of systems and software, 2024-07, Vol.213, Article 112058

2024

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A Two-Stage LLVM Option Sequence Optimization Method to Minimize Energy Consumption

Conflict-aware compiler for hierarchical register file on GPUs

Revealing Compiler Heuristics Through Automated Discovery and Optimization

Tsoa: a two-stage optimization approach for GCC compilation options to minimize execution time

Multicore soft error reliability assessment and evaluation of Compiler optimization flag Effects on ARMv7 and ARMv8

Analyzing and revivifying function signature inference using deep learning

Automatic Compiler-Based Optimizations for Deep Neural Networks

Instruction Scheduling for the GPU on the GPU

Data for the paper: "Assessing the Impact of Compiler Optimizations on GPUs Reliability"

Early-Stage Non-Conventional Hardware Accelerator Discovery via Optimization Methods and Compiler Analysis

oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation

Hydra: Generalizing Peephole Optimizations with Program Synthesis

Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs

Function-Level Compilation Provenance Identification with Multi-Faceted Neural Feature Distillation and Fusion

PROMPT: A Fast and Extensible Memory Profiling Framework

Optimisation de la compilation de déparseurs pour processeurs réseau implémentés sur FPGA

A graph-based methodology for constructing computational models that automates adjoint-based sensitivity analysis

PolyTOPS: Reconfigurable and Flexible Polyhedral Scheduler

Whose Baseline Compiler is it Anyway?

Experiences Building an MLIR-Based SYCL Compiler

A Tensor Algebra Compiler for Sparse Differentiation

Enabling Fine-Grained Incremental Builds by Making Compiler Stateful

Compiler Provenance Recovery for Multi-CPU Architectures Using a Centrifuge Mechanism

Compile-Time Analysis of Compiler Frameworks for Query Compilation

GraalSP: Polyglot, efficient, and robust machine learning-based static profiler

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