Compiler Optimization

6 papers with code • 0 benchmarks • 0 datasets

Machine learning guided compiler optimization

Most implemented papers

EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications

alibaba/EasyNLP 18 Nov 2020

The literature has witnessed the success of leveraging Pre-trained Language Models (PLMs) and Transfer Learning (TL) algorithms to a wide range of Natural Language Processing (NLP) applications, yet it is not easy to build an easy-to-use and scalable TL toolkit for this purpose.

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

facebookresearch/CompilerGym 17 Sep 2021

What is needed is an easy, reusable experimental infrastructure for real world compiler optimization tasks that can serve as a common benchmark for comparing techniques, and as a platform to accelerate progress in the field.

CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution

taehokim20/cprune 4 Jul 2022

We propose CPrune, a compiler-informed model pruning for efficient target-aware DNN execution to support an application with a required target accuracy.

Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching

snu-arc/ginex 19 Aug 2022

Thus, we propose Ginex, the first SSD-based GNN training system that can process billion-scale graph datasets on a single machine.

Compiler Optimization for Quantum Computing Using Reinforcement Learning

cda-tum/mqtpredictor 8 Dec 2022

Any quantum computing application, once encoded as a quantum circuit, must be compiled before being executable on a quantum computer.

Robust Scheduling with GFlowNets

saleml/torchgfn 17 Jan 2023

Finding the best way to schedule operations in a computation graph is a classical NP-hard problem which is central to compiler optimization.