Projects with this topic
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Bandicoot: user-friendly C++ library for GPU accelerated linear algebra, integrating with CUDA and OpenCL
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A comprehensive CUDA compute library for Zig providing GPU memory management, kernel compilation/launching, device probing, and profiling capabilities
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Implementation of the Mixed Hybrid Finite Element Method using the Template Numerical Library
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Implementation of the Lattice Boltzmann Method using the Template Numerical Library
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A SFI-inspired system enabling safe collocation of untrusted workloads on NVIDIA GPUs, with minimal overheads.
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Implementation of the Smoothed Particle Hydrodynamics Method using the Template Numerical Library
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EPSILOD is a C11 framework for iterative stencil computations acceleration on heterogeneous and distributed systems, with great scaling capabilities. It is presented as a function which solves a fixed number of iterations of a geometric stencil computation. It also supports device-tailored optimized stencil kernels.
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Controllers is a library written in C99 that provides a simplified way to program application that can exploit heterogeneous computational platforms including accelerators and/or multi-core CPUs.
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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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Some basic CUDA/OpenAcc examples in Fortran, plus a few utilities
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A port of the open GPU4S benchmark suite to Ada.
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This project is a CUDA implementation of an Artificial Compressibility Method (ACM) Finite Difference Method (FDM) solver. The solver is coupled to a live renderer using GLEW, GLM and OpenGL to enable live feedback of the entire simulation domain.
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Practical Power flow calculation programming used to teach the application of GPU calculations to power systems.
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GLES31/Compute shader test (mostly for RPi4/VideoCore VI (VC6) evaluation, but may work on other hardware, like Jetson Nano or Asus TinkerBoard).
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Różne sposoby implementacji operacji SAXPY (Y[i] = a * X[i] + Y[i]) za pomocą biblioteki Thrust (https://thrust.github.io)
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GPU Flying Edges implementation using Vulkan
Based on: https://gitlab.kitware.com/vtk/vtk/blob/master/Filters/Core/vtkFlyingEdges3D.cxx
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