The Deep Learning Compiler: A Comprehensive Survey 【摘要】由于AI芯片的高度定制化,使得在AI芯片上部署、运行AI模型远比运行一般的应用程序困难,这促进了AI编译器的研究和开发。工业界和学术界都提出了不同的AI编译器,例如NvNLA、Tensorf… 武玲发表于编译器浅谈 【论文精读】DISC : 基于基于 MLIR 的动态形状机...
The Deep Learning Compiler: A Comprehensive Survey 在不同的深度学习(DL)硬件上部署各种DL模型的困难推动了社区对DL编译器的研究和开发。从工业界和学术界都提出了几个DL编译器,例如Tensorflow XLA和TVM。类…
相比于CPU和GPU,TPU虽然可以编程,但是最基础的原语不是向量或标量,而是矩阵乘。Amacon Inferentia芯片包含4个NeuroCores用作tensor级别的计算,拥有更大的片上(on-chip)cache减少主存访问。 神经形态硬件 神经形态硬件使用电子技术来模仿生物大脑,代表是IBM的TrueNorth和Intel的Loihi,在神经元中有很强的连通性,结构也...
The Deep Learning Compiler: A Comprehensive Survey 参考文献: https://arxiv.org/pdf/2002.03794v4.pdf 在不同的DL硬件上部署各种深度学习(DL)模型的困难,推动了社区DL编译器的研究和开发。DL编译器已经从工业和学术界提出,如TysFraceXLA和TVM。类似地,DL编译器将不同DL框架中描述的DL模型作为输入,然后为不...
Deep learning:Applications,architectures,models,tools,and frameworks:A comprehensive survey Deep Learning(DL)is a subfield of machine learning that significantly impacts extracting new knowledge.By using DL,the extraction of advanced data represen... M Gheisari,F Ebrahimzadeh,M Rahimi,... - 《Caai ...
This paper aims to provide a comprehensive survey on various problems in video falsification, deep learning models utilised for detecting the forgery. This survey provides a deep understanding of various algorithms implemented by various authors and their advantages, limitations thereby providing an ...
论文:A Comprehensive Survey on Graph Anomaly Detection with Deep Learning 论文地址:https://arxiv.org/abs/2106.07178 本文的写作动机 异常检测是一种数据挖掘过程,旨在识别偏离数据集中大多数数据的异常模式。在这一领域的早期工作中,检测方法在很大程度上依赖于手工制作的特征工程或领域专家构建的统计模型。这内在...
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning 2024 TPAMI Class-Incremental Learning: A Survey 2024 TPAMI A Comprehensive Survey of Continual Learning: Theory, Method and Application 2024 TPAMI Unleashing the Power of Continual Learning on Non-Centralized Devices: A Surve...
The goal of this study is to understand the acceleration of nerual networks with DL Compiler. The topic of acceleration includes On-Device AI,DL Compiler, TVM, ONNX , Compiler. Our study is based on this paper (The Deep Learning Compiler: A Comprehensive Survey, IEEE TPDS 2021). Also we...
In the past decade, thanks to the powerfulness of deep-learning techniques, we have witnessed a whole new era of automated code generation.To sort out developments, we have conducted a comprehensive review of solutions to deep learning-based code generation.In this survey, we generally formalize...