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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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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

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

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

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

PacketMill: toward per-Core 100-Gbps networking

Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021, p.1-17

2021

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A compiler framework for optimization of affine loop nests for gpgpus

Proceedings of the 22nd annual international conference on Supercomputing, 2008, p.225-234

2008

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Using Machine Learning to Focus Iterative Optimization

Code Generation and Optimization: Proceedings of the International Symposium on Code Generation and Optimization; 26-29 Mar. 2006, 2006, p.295-305

2006

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IEEE_Xplore

A static cut-off for task parallel programs

2016 International Conference on Parallel Architecture and Compilation Techniques (PACT), 2016, p.139-150

2016

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OSCAR API for Real-Time Low-Power Multicores and Its Performance on Multicores and SMP Servers

Languages and Compilers for Parallel Computing, p.188-202

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Compiler-Managed Software-based Redundant Multi-Threading for Transient Fault Detection

Code Generation and Optimization: Proceedings of the International Symposium on Code Generation and Optimization; 11-14 Mar. 2007, 2007, p.244-258

2007

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IEEE_Xplore

Automated selection of build configuration based on machine learning

2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2022, p.934-941

2022

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IEEE_Xplore

OpenACC to FPGA: A Framework for Directive-Based High-Performance Reconfigurable Computing

2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2016, p.544-554

2016

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IEEE_Xplore

A DSL compiler for accelerating image processing pipelines on FPGAs

2016 International Conference on Parallel Architecture and Compilation Techniques (PACT), 2016, p.327-338

2016

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Circuit Compilation Methodologies for Quantum Approximate Optimization Algorithm

2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020, p.215-228

2020

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Dynamic Code Region (DCR) Based Program Phase Tracking and Prediction for Dynamic Optimizations

High Performance Embedded Architectures and Compilers, 2005, p.203-217

2005

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Code generation in the polyhedral model is easier than you think

Proceedings. 13th International Conference on Parallel Architecture and Compilation Techniques, 2004. PACT 2004, 2004, p.7-16

Bastoul, C.

2004

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IEEE_Xplore

Practical aggregation of semantical program properties for machine learning based optimization

Proceedings of the 2010 international conference on Compilers, architectures and synthesis for embedded systems, 2010, p.197-206

2010

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Predicting Unroll Factors Using Supervised Classification

Code Generation and Optimization: Proceedings of the international symposium on Code generation and optimization; 20-23 Mar. 2005, 2005, p.123-134

2005

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IEEE_Xplore

Design and Preliminary Evaluation of Omni OpenACC Compiler for Massive MIMD Processor PEZY-SC

OpenMP: Memory, Devices, and Tasks, p.293-305

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Use of Code Structural Features for Machine Learning to Predict Effective Optimizations

2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2018, p.1049-1055

2018

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IEEE_Xplore

Profiling Data-Dependence to Assist Parallelization: Framework, Scope, and Optimization

2012 45th Annual IEEE/ACM International Symposium on Microarchitecture, 2012, p.437-448

2012

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IEEE_Xplore

An automatic RTL compiler for high-throughput FPGA implementation of diverse deep convolutional neural networks

2017 27th International Conference on Field Programmable Logic and Applications (FPL), 2017, p.1-8

2017

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IEEE_Xplore

Integrating Multi-GPU Execution in an OpenACC Compiler

2013 42nd International Conference on Parallel Processing, 2013, p.260-269

2013

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The TRegion Interface and Compiler Optimizations for OpenMP Target Regions

Rapidly Selecting Good Compiler Optimizations using Performance Counters

iDO: compiler-directed failure atomicity for nonvolatile memory

End-to-End Deep Learning of Optimization Heuristics

Microarchitecture Sensitive Empirical Models for Compiler Optimizations

Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation

PacketMill: toward per-Core 100-Gbps networking

A compiler framework for optimization of affine loop nests for gpgpus

Using Machine Learning to Focus Iterative Optimization

A static cut-off for task parallel programs

OSCAR API for Real-Time Low-Power Multicores and Its Performance on Multicores and SMP Servers

Compiler-Managed Software-based Redundant Multi-Threading for Transient Fault Detection

Automated selection of build configuration based on machine learning

OpenACC to FPGA: A Framework for Directive-Based High-Performance Reconfigurable Computing

A DSL compiler for accelerating image processing pipelines on FPGAs

Circuit Compilation Methodologies for Quantum Approximate Optimization Algorithm

Dynamic Code Region (DCR) Based Program Phase Tracking and Prediction for Dynamic Optimizations

Code generation in the polyhedral model is easier than you think

Practical aggregation of semantical program properties for machine learning based optimization

Predicting Unroll Factors Using Supervised Classification

Design and Preliminary Evaluation of Omni OpenACC Compiler for Massive MIMD Processor PEZY-SC

Use of Code Structural Features for Machine Learning to Predict Effective Optimizations

Profiling Data-Dependence to Assist Parallelization: Framework, Scope, and Optimization

An automatic RTL compiler for high-throughput FPGA implementation of diverse deep convolutional neural networks

Integrating Multi-GPU Execution in an OpenACC Compiler

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