Performance monitoring and benchmarking suite
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Updated
Apr 16, 2025 - C
NVIDIA Corporation is a company that manufactures graphics processors, mobile technologies, and desktop computers. It is known for developing integrated circuits, which are used in everything from electronic game consoles to personal computers (PCs). The company is a leading manufacturer of high-end graphics processing units (GPUs).
Performance monitoring and benchmarking suite
Real-time vehicle telematics analytics demo using OmniSci
FFmpeg 4.0 with NVIDIA P4 GPU Driver Support
AMD and NVIDIA GPUs htop like monitoring tool | Optimized builds
Metrics exporter for Nvidia GPUs (Prometheus exposition format)
Recent development in Graphic Processing Units (GPUs) has opened a new challenge in harnessing their computing power as a new general-purpose computing paradigm with its CUDA parallel programming. However, porting applications to CUDA remains a challenge to average programmers. We have developed a restructuring software compiler (RT-CUDA) with b…
GPU-accelerated tree search: Investigating Chapel versus CUDA/HIP+X
A little project to show some info about your pc (Ex. GPU temperature) on an external display driven by an ESP32. The python script works only for NVIDIA cards.
GNURadio block for spectrum visualization using GPU or CPU compatible with virtual machines and docker
Linux based GDDR6/GDDR6X VRAM temperature reader for NVIDIA RTX 3000/4000 series GPUs.
this repository contains the various programs that can written using CUDA Toolkit.
ICECTI 2023 Hackathon repository for the GPU stack
A little tool to check if your GPU is operating at max link width and PCIe generation. Version that acceses PCIe config space directly.
Unlock vGPU functionality for consumer grade GPUs.
Utilities to print information about video encode/decode capabilities of nvidia GPUs
Comprarison of vector operation using CPU vs GPU using Nvidia Cuda
Implementação paralela e simples do Perceptron Multicamadas utilizando OpenACC destinada para GPUs da NVIDIA
Daemon for `nvml`, to configure & monitor NVIDIA GPUs on the fly.
Implementação simples do Perceptron Multicamadas em CUDA.
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993