Search Results for "network performance"

XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. ...

G2CD is a hub-only implementation for the Gnutella 2 peer-to-peer network. With its ability to run on a typical server (unix/24-7/static IP/high bandwidth/SMP) it is possible to set up a dedicated G2 Hub to improve the overall G2 network performance.

Stingray 3 is a high performance engine Sequential Electronic Fuel Injection and Electronic Ignition controller designed specifically for light experimental aircraft and off-road applications.

Intercepts and parses all instant message traffic received by the computer. A high performance engine allows conversations to be viewed immediately and/or saved for later analysis. NOTE: Requires WINPCAP

CPUID DE is a program get CPUID information. It's target to get the exactly CPU information. In advance target, it monitor temperature and performance of CPU .

This project is an attempt to create a usable framework to simulate simple network and link protocols and check their performance under different configurations and parameters.

The Torque Network Library is a robust, secure, easy to use cross-platform C++ networking API designed for high performance simulations and games. The network architecture in TNL has powered some of the best internet multiplayer action games to date.