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2003.00671
Cited By

AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep
Reinforcement Learning

v1v2 (latest)

AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning

Conference on Machine Learning and Systems (MLSys), 2020

2 March 2020

William S. Moses

Krste Asanović

ArXiv (abs)PDF HTML

Papers citing "AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning"

24 / 24 papers shown

Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction

Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction

127

0

0

15 Oct 2025

AwareCompiler: Agentic Context-Aware Compiler Optimization via a Synergistic Knowledge-Data Driven Framework

AwareCompiler: Agentic Context-Aware Compiler Optimization via a Synergistic Knowledge-Data Driven Framework

161

1

0

13 Oct 2025

REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving

REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving

Christopher Priebe

H. Esmaeilzadeh

353

1

0

02 Jun 2025

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning

256

7

0

30 May 2025

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning

Towards VM Rescheduling Optimization Through Deep Reinforcement LearningEuropean Conference on Computer Systems (EuroSys), 2025

343

8

0

23 May 2025

SuperCoder: Assembly Program Superoptimization with Large Language Models

SuperCoder: Assembly Program Superoptimization with Large Language Models

Gagandeep Singh

361

5

0

16 May 2025

Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces

Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces

441

0

0

21 Oct 2024

A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler

A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler

Iheb Nassim Aouadj

Riyadh Baghdadi

Iheb Nassim Aouadj

Bouchama Djad

Rafik Bouloudene

Riyadh Baghdadi

297

7

0

17 Sep 2024

Compiler generated feedback for Large Language Models

Compiler generated feedback for Large Language Models

206

15

0

18 Mar 2024

Large Language Models for Compiler Optimization

Large Language Models for Compiler Optimization

Mostafa Elhoushi

...

Fabian Gloeckle

Kim M. Hazelwood

Gabriel Synnaeve

250

88

0

11 Sep 2023

Target-independent XLA optimization using Reinforcement Learning

Target-independent XLA optimization using Reinforcement Learning

229

1

0

28 Aug 2023

X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs
Transformation

X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs TransformationConference on Machine Learning and Systems (MLSys), 2023

214

6

0

28 Apr 2023

BenchDirect: A Directed Language Model for Compiler Benchmarks

BenchDirect: A Directed Language Model for Compiler Benchmarks

Foivos Tsimpourlas

Pavlos Petoumenos

148

3

0

02 Mar 2023

Learning Compiler Pass Orders using Coreset and Normalized Value
Prediction

Learning Compiler Pass Orders using Coreset and Normalized Value PredictionInternational Conference on Machine Learning (ICML), 2023

Mostafa Elhoushi

...

326

26

0

09 Jan 2023

Compiler Optimization for Quantum Computing Using Reinforcement Learning

Compiler Optimization for Quantum Computing Using Reinforcement LearningDesign Automation Conference (DAC), 2022

Nils Quetschlich

Lukas Burgholzer

193

36

0

08 Dec 2022

BaCO: A Fast and Portable Bayesian Compiler Optimization Framework

BaCO: A Fast and Portable Bayesian Compiler Optimization FrameworkInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022

Artur L. F. Souza

Johannes Lenfers

Rubens Lacouture

Fredrik Kjolstad

279

31

0

01 Dec 2022

BenchPress: A Deep Active Benchmark Generator

BenchPress: A Deep Active Benchmark GeneratorInternational Conference on Parallel Architectures and Compilation Techniques (PACT), 2022

Foivos Tsimpourlas

Pavlos Petoumenos

261

4

0

13 Aug 2022

A Highly Configurable Hardware/Software Stack for DNN Inference
Acceleration

A Highly Configurable Hardware/Software Stack for DNN Inference Acceleration

Suvadeep Banerjee

255

10

0

29 Nov 2021

CompilerGym: Robust, Performant Compiler Optimization Environments for
AI Research

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

...

296

112

0

17 Sep 2021

Learning Space Partitions for Path Planning

Learning Space Partitions for Path PlanningNeural Information Processing Systems (NeurIPS), 2021

Kevin Kaichuang Yang

Tianjun Zhang

Joseph E. Gonzalez

301

11

0

19 Jun 2021

Ansor: Generating High-Performance Tensor Programs for Deep Learning

Ansor: Generating High-Performance Tensor Programs for Deep LearningUSENIX Symposium on Operating Systems Design and Implementation (OSDI), 2020

...

Joseph E. Gonzalez

723

540

0

11 Jun 2020

ProTuner: Tuning Programs with Monte Carlo Tree Search

ProTuner: Tuning Programs with Monte Carlo Tree Search

William S. Moses

Krste Asanović

224

30

0

27 May 2020

GEVO: GPU Code Optimization using Evolutionary Computation

GEVO: GPU Code Optimization using Evolutionary ComputationACM Transactions on Architecture and Code Optimization (TACO) (TACO), 2020

Stephanie Forrest

306

2

0

17 Apr 2020

NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement
Learning

NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement LearningIEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2019

Theodore L. Willke

Krste Asanović

344

118

0

20 Sep 2019

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