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09/16/2023
Rewriting History: Repurposing Domain-Specific CGRAs
Coarse-grained reconfigurable arrays (CGRAs) are domain-specific devices...
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09/11/2023
Large Language Models for Compiler Optimization
We explore the novel application of Large Language Models to code optimi...
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09/04/2023
LoopTune: Optimizing Tensor Computations with Reinforcement Learning
Advanced compiler technology is crucial for enabling machine learning ap...
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05/21/2023
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembler
Decompilation is a well-studied area with numerous high-quality tools av...
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03/02/2023
BenchDirect: A Directed Language Model for Compiler Benchmarks
The exponential increase of hardware-software complexity has made it imp...
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01/09/2023
Learning to compile smartly for program size reduction
Compiler optimization passes are an important tool for improving program...
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08/13/2022
BenchPress: A Deep Active Benchmark Generator
We develop BenchPress, the first ML benchmark generator for compilers th...
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12/24/2021
Profile Guided Optimization without Profiles: A Machine Learning Approach
Profile guided optimization is an effective technique for improving the ...
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11/23/2021
Caviar: An E-graph Based TRS for Automatic Code Optimization
Term Rewriting Systems (TRSs) are used in compilers to simplify and prov...
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09/17/2021
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research
Interest in applying Artificial Intelligence (AI) techniques to compiler...
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06/19/2021
Learning Space Partitions for Path Planning
Path planning, the problem of efficiently discovering high-reward trajec...
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11/30/2020
Value Function Based Performance Optimization of Deep Learning Workloads
As machine learning techniques become ubiquitous, the efficiency of neur...
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11/21/2020
Deep Data Flow Analysis
Compiler architects increasingly look to machine learning when building ...
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03/23/2020