Diwash Mainalibetter-diwash.hashnode.dev路Jan 12, 2025Parallel Computing With CUDAParallel Computing Parallel computing can be defined as a form of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then solved conc...cuda
haroune hassineiaaroun.hashnode.dev路Dec 23, 2024A Guide to Setting Up Nvidia Driver and Cuda Toolkit On Ubuntu (20.04)Overview Training deep learning models is very costing task in terms of the required amount of calculations, specifically matrix operations, that need to be done to update the model鈥檚 trainable parameters. Using CPU to train deep learning models is n...NVIDIA
Mojtaba Malekimojtabamaleki.hashnode.dev路Dec 20, 2024Nvidia CudaWelcome to Neural Nonsense, where we break down complex topics into simple, digestible insights. In this post, we鈥檒l dive into CUDA, a parallel computing platform that has revolutionized how we use GPUs, unlocking their full potential beyond gaming. ...cuda
OM SHINTREforCompilers for Parallel Machinesintroduction-to-parallel-machines.hashnode.dev路Nov 28, 2024Compilers for Parallel Machines: A Beginner's聽GuideIntroduction to Parallel Machines: In today鈥檚 digital era, parallel computing has revolutionized the way machines process data. By dividing tasks into smaller subtasks that run simultaneously, parallel computing contrasts with the step-by-step approa...40 likesparallel machines
Jyotiprakash Mishrablog.jyotiprakash.org路Nov 1, 2024Data-Level ParallelismData-Level Parallelism (DLP) refers to the parallel execution of identical operations on different elements of a data set, allowing for a significant increase in computational speed and efficiency. This type of parallelism is particularly well-suited...1 like路340 readsvector processing
Rafal Jackiewiczjackiewicz.hashnode.dev路Oct 27, 2024Training Mistral 7B on a Local Machine with CUDA (RTX 4090)This guide will help you train the Mistral 7B language model on your local machine using CUDA GPU. This guide was tested on a local machine with an RTX 4090, but it should work with GPUs like Tesla T4 that have a minimum of 16 GB of RAM. This guide i...AI
Param Thakkarparamthakkar.hashnode.dev路Oct 27, 2024CUDA Programming : An IntroductionIntroduction CUDA is a programming platform developed by Nvidia in 2006. Since its introduction in 2006 it has been widely used in many applications involving high performance computing, parallel computing, GPU programming, etc. CUDA is short for Com...cuda
Anurag Kumar Singhanurag-bit.hashnode.dev路Oct 7, 2024Artificial Intelligence for Real Dummies.馃挕 Attention: This is a no Code Guide, aims at building Foundation/initial footing! Introduction to AI: Where Sci-Fi Meets Reality! What in the World is AI? Imagine you're at a party, and someone asks, "What's AI?" You could say, "It's when machine...3 likes路138 readsExplain like I am five
Rafal Jackiewiczjackiewicz.hashnode.dev路Oct 7, 2024Building Large Language Models (LLMs) from Scratch: The Role of CUDA and AVXLarge Language Models (LLMs) like GPT, BERT, and their derivatives have gained significant traction in the field of natural language processing. Behind the scenes, these models rely on complex mathematical operations to process data and generate resp...160 readsAVX-512
Beau CarnesforfreeCodeCampfreecodecamp.org路Sep 24, 2024Learn CUDA ProgrammingCUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model created by NVIDIA. It allows developers to use a CUDA-enabled graphics processing unit (GPU) for general-purpose processing,...cuda