Projects with this topic
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Multidimensional arrays for C++. (Not an official Boost library) GitHub mirror: https://github.com/correaa/boost-multi
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Isard VDI (Virtual Desktop Infraestructure) Project. Open Source KVM Virtual Desktops based on KVM Linux and dockers. https://isardvdi.com/
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Bandicoot: user-friendly C++ library for GPU accelerated linear algebra, integrating with CUDA and OpenCL
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Volume-Language: Experimental volume description languages aimed at GPU distance field rendering.
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Bitcoin Mini Key Hunter is a tool that focuses on searching for 22-digit private keys starting with S and performing cracking drills. It uses the powerful GPU parallel computing capabilities of CUDA technology, similar to research tools such as brainflayer,keyhunt,BitCrack, ecloop,keyhunt cuda,etc.
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Kubernetes device plugin implementing the sharing of Nvidia GPUs between workloads
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Event Generator, written in CUDA C++. Simulates LEP and LHC Collisions.
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After optimization, version 3080 is equivalent to version 4090. I fixed address matching errors and private key conversion errors, modified the random generator, added puzzles suitable for specific regions, and more. It is commonly used in puzzle games, Brainflayer, Keyhunt, BitCrack, VanitySearch, etc.
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KeyKiller is designed to achieve extreme performance on modern NVIDIA GPUs, solving the Satoshi puzzle. It leverages CUDA, warp-level parallelism, and batched EC operations to push the boundaries of cryptographic key discovery. It is commonly used in research projects such as Secp256k1-CUDA,Brainflayer,BitCrack, Keyhunt CUDA BitCrack,RCKangaroo.
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This is a catalogue presenting the information displayed on Google Chrome's internal "chrome://gpu" page, collected from various hardware and operating system platforms.
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Comparing the CPU and GPU implementations of LHAPDF
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Projet de stage réalisé en Belgique à l'UCL : Développement d'une librairie C++ optimisée pour la recherche d'éléments dans un maillage en utilisant un GPU.
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PyHole is a general relativity ray tracing code written in Python and OpenCL. It includes an easy to use interface for interactive analysis of the dynamics around arbitrary axisymmetric stationary space-times.
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Intel GPU metrics exporter, written in Go
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Scholara: A Virtual Assistant Powered by LLM, RAG, and AI Agent.
Finding the right scholarship can be a timeconsuming and frustrating process. You'll likely spend hours poring over university websites, communicating with current students, and scouring the internet for information. Unfortunately, even after all that effort, there's no guarantee you'll find the perfect scholarship. That's where our AI scholar comes in. Let us handle the legwork for you, and we'll provide personalized assistance to find the most suitable scholarship for you and answer all your questions about the scholarships that interest you. We solved this by using LLM to provide a human-like when answer the students, RAG we build our own vector database to get more suitable scholarships from it based on student information and desire, also to keep our system up-to-date with all the updated information about the scholarships we built AI Web agent this helps the system to be aware about all the updates in the scholarships information, and new scholarships.Updated -
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Low-level, performant Vulkan bindings for .NET 6+
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