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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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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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12/21/2022
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning
Traditional approaches to RL have focused on learning decision policies ...
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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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06/30/2022
Code Translation with Compiler Representations
In this paper, we leverage low-level compiler intermediate representatio...
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06/08/2022
Progress Report: A Deep Learning Guided Exploration of Affine Unimodular Loop Transformations
In this paper, we present a work in progress about a deep learning based...
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05/02/2022
LoopStack: a Lightweight Tensor Algebra Compiler Stack
We present LoopStack, a domain specific compiler stack for tensor operat...
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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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08/27/2021
Using Graph Neural Networks to model the performance of Deep Neural Networks
With the unprecedented proliferation of machine learning software, there...
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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