Compiler Optimization

10 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.

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.

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.

SimCLF: A Simple Contrastive Learning Framework for Function-level Binary Embeddings

iamawhalez/fun2vec 6 Sep 2022

A practical embedding learning framework relies on the robustness of the assembly code representation and the accuracy of function-pair annotation, which is traditionally accomplished using supervised learning-based frameworks.

BaCO: A Fast and Portable Bayesian Compiler Optimization Framework

baco-authors/baco 1 Dec 2022

We introduce the Bayesian Compiler Optimization framework (BaCO), a general purpose autotuner for modern compilers targeting CPUs, GPUs, and FPGAs.

WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models

ise-uiuc/whitefox 24 Oct 2023

To this end, we propose WhiteFox, the first white-box compiler fuzzer using LLMs with source-code information to test compiler optimization, with a spotlight on detecting deep logic bugs in the deep learning (DL) compilers.

Optimization of Armv9 architecture general large language model inference performance based on Llama.cpp

longhao-chen/aicas2024 16 Jun 2024

This article optimizes the inference performance of the Qwen-1. 8B model by performing Int8 quantization, vectorizing some operators in llama. cpp, and modifying the compilation script to improve the compiler optimization level.

Bridging the PLC Binary Analysis Gap: A Cross-Compiler Dataset and Neural Framework for Industrial Control Systems

AICPS/PLCBEAD_PLCEmbed 27 Feb 2025

Industrial Control Systems (ICS) rely heavily on Programmable Logic Controllers (PLCs) to manage critical infrastructure, yet analyzing PLC executables remains challenging due to diverse proprietary compilers and limited access to source code.