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Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization

2019 IEEE Symposium on Security and Privacy (SP), 2019, p.472-489

2019

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Clustering-Based Selection for the Exploration of Compiler Optimization Sequences

ACM transactions on architecture and code optimization, 2016-04, Vol.13 (1), p.1-28

2016

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The TRegion Interface and Compiler Optimizations for OpenMP Target Regions

OpenMP: Conquering the Full Hardware Spectrum, p.153-167

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Compiler Optimizations for Parallel Programs

Languages and Compilers for Parallel Computing, 2019, Vol.11882, p.112-119

2019

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Rapidly Selecting Good Compiler Optimizations using Performance Counters

Code Generation and Optimization: Proceedings of the International Symposium on Code Generation and Optimization; 11-14 Mar. 2007, 2007, p.185-197

2007

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IEEE_Xplore

Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation

2012 45th Annual IEEE/ACM International Symposium on Microarchitecture, 2012, p.107-118

2012

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IEEE_Xplore

The Effect of Compiler Optimizations on High-Level Synthesis-Generated Hardware

ACM transactions on reconfigurable technology and systems, 2015-05, Vol.8 (3), p.1-26

2015

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iDO: compiler-directed failure atomicity for nonvolatile memory

2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2018, p.258-270

2018

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IEEE_Xplore

End-to-End Deep Learning of Optimization Heuristics

2017 26th International Conference on Parallel Architectures and Compilation Techniques (PACT), 2017, p.219-232

2017

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IEEE_Xplore

Mitigating the compiler optimization phase-ordering problem using machine learning

SIGPLAN notices, 2012-10, Vol.47 (10), p.147-162

2012

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Coordinated parallelizing compiler optimizations and high-level synthesis

ACM transactions on design automation of electronic systems, 2004-10, Vol.9 (4), p.441-470

2004

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A scalable auto-tuning framework for compiler optimization

2009 IEEE International Symposium on Parallel & Distributed Processing, 2009, p.1-12

2009

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IEEE_Xplore

Microarchitecture Sensitive Empirical Models for Compiler Optimizations

Code Generation and Optimization: Proceedings of the International Symposium on Code Generation and Optimization; 11-14 Mar. 2007, 2007, p.131-143

2007

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IEEE_Xplore

Towards Efficient Adjustment of Effect Rows

Trends in Functional Programming, 2023, Vol.13401, p.169-191

2023

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A Survey on Compiler Autotuning using Machine Learning

ACM computing surveys, 2019-01, Vol.51 (5), p.1-42, Article 96

2019

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

Software, practice & experience, 2012-06, Vol.42 (6), p.675-706

Yi, Qing

2012

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Synthesis of High-Performance Parallel Programs for a Class of ab Initio Quantum Chemistry Models

Proceedings of the IEEE, 2005-02, Vol.93 (2), p.276-292

2005

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IEEE_Xplore

Analytical modeling of cache behavior for affine programs

Proceedings of ACM on programming languages, 2018-01, Vol.2 (POPL), p.1-26

2018

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Mitigating the compiler optimization phase-ordering problem using machine learning

Proceedings of the ACM international conference on object oriented programming systems languages and applications, 2012, p.147-162

2012

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High-level Synthesis for Low-power Design

IPSJ Transactions on System LSI Design Methodology, 2015, Vol.8, pp.12-25

2015

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Finitary polymorphism for optimizing type-directed compilation

Proceedings of ACM on programming languages, 2018-07, Vol.2 (ICFP), p.1-29

2018

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Towards making autotuning mainstream

The international journal of high performance computing applications, 2013-11, Vol.27 (4), p.379-393

2013

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Feasibility of high level compiler optimizations in online synthesis

2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2015, p.1-7

2015

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A GPGPU compiler for memory optimization and parallelism management

Proceedings of the 31st ACM SIGPLAN Conference on programming language design and implementation, 2010, p.86-97

2010

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Identifying Compiler and Optimization Options from Binary Code using Deep Learning Approaches

2020 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020, p.232-242

2020

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IEEE_Xplore

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Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization

Clustering-Based Selection for the Exploration of Compiler Optimization Sequences

The TRegion Interface and Compiler Optimizations for OpenMP Target Regions

Compiler Optimizations for Parallel Programs

Rapidly Selecting Good Compiler Optimizations using Performance Counters

Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation

The Effect of Compiler Optimizations on High-Level Synthesis-Generated Hardware

iDO: compiler-directed failure atomicity for nonvolatile memory

End-to-End Deep Learning of Optimization Heuristics

Mitigating the compiler optimization phase-ordering problem using machine learning

Coordinated parallelizing compiler optimizations and high-level synthesis

A scalable auto-tuning framework for compiler optimization

Microarchitecture Sensitive Empirical Models for Compiler Optimizations

Towards Efficient Adjustment of Effect Rows

A Survey on Compiler Autotuning using Machine Learning

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

Synthesis of High-Performance Parallel Programs for a Class of ab Initio Quantum Chemistry Models

Analytical modeling of cache behavior for affine programs

Mitigating the compiler optimization phase-ordering problem using machine learning

High-level Synthesis for Low-power Design

Finitary polymorphism for optimizing type-directed compilation

Towards making autotuning mainstream

Feasibility of high level compiler optimizations in online synthesis

A GPGPU compiler for memory optimization and parallelism management

Identifying Compiler and Optimization Options from Binary Code using Deep Learning Approaches

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