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[source code analysis] NVIDIA HugeCTR, GPU version parameter server - (8) - Distributed Hash, then propagate to 0x00 summary In this series, we introduce HugeCTR, an industry-oriented recommendation system training framework, which is optimized for large-scale CTR models with model parallel embedding and data parallel intensive networks. ...

As we all know, when GPU runs programmable pipeline, shaders run in parallel, and each shader entry function will be executed in parallel in GPU. Each shader charges a large piece of data in a unified format, reflecting the advantages of GPU multi-core, which can process data with small cores at the same time; However, some data is the same for ...

stay Above We introduced how to use multithreading to accelerate model training in the data module. In this paper, we mainly introduced how to use distributed dataparallel, torch.multiprocessing and other modules in pytorch to carry out multi card parallel processing and improve the training speed of the module.The following describes pytorch's ...

2021SC@SDUSC The last chapter roughly analyzes the implementation of AES in high-level programming language. Here we give the complete source code of AES in c + + to help understand. #include <iostream> #include <cstdlib> #include <stdio.h> using namespace std; typedef unsigned char byte; struct word { byte wordKey[4]; }; ...

catalogue Working principle and significance of CRTCInitialization and function of CRTC module 0. Introduction CRTC under DRM represents RGB data pipeline from & DRM_ The plane receives the pixel data and mixes them together and transmits them to the lower level display device DRM_ encoder. By & DRM_ display_ Mode controls timin ...