Open3D: A Modern Library for 3D Data Processing
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CUDA Templates and Python DSLs for High-Performance Linear Algebra
cuDF - GPU DataFrame Library
Optimized primitives for collective multi-GPU communication
ArrayFire: a general purpose GPU library.
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
A collection of GICP-based fast point cloud registration algorithms
A C++ GPU Computing Library for OpenCL
stdgpu: Efficient STL-like Data Structures on the GPU
C++ library for solving large sparse linear systems with algebraic multigrid method
⚡ Datoviz: high-performance GPU rendering for scientific data visualization
eBPF based always-on CPU/GPU profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!
Headers Only C++11 CPU Vector Graphics. no std-lib, no FPU and no GPU required !
轻量的 Windows 桌面悬浮监控：电池功耗与续航、CPU/GPU/内存占用与功耗、网速、真实延迟与断网提醒。原生 C++ / Direct2D，迷你模式约 0.1% CPU。