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
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…
gstreamer-fps-monitor is a simple C-based GStreamer app that plays a video while showing real-time FPS as an overlay. It's great for beginners to learn pipeline creation in C, using fpsdisplaysink for performance monitoring, and compiling easily with a Makefile.
GNURadio block for spectrum visualization using GPU or CPU compatible with virtual machines and docker
A simple GStreamer project that demonstrates basic video playback using both command-line and C programming. Great for beginners to learn how GStreamer pipelines are constructed and executed.
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.
Implementation of a simple in-memory file system for running offloading tests on NVIDIA GPUs.
Linux based GDDR6/GDDR6X VRAM temperature reader for NVIDIA RTX 3000/4000 series GPUs.
ICECTI 2023 Hackathon repository for the GPU stack
this repository contains the various programs that can written using CUDA Toolkit.
Implementação paralela e simples do Perceptron Multicamadas utilizando OpenACC destinada para GPUs da NVIDIA
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.
Comprarison of vector operation using CPU vs GPU using Nvidia Cuda
Implementação simples do Perceptron Multicamadas em CUDA.
University Project for "Computer Architecture" course (MSc Computer Engineering @ University of Pisa). Implementation of a Parallelized Nearest Neighbor Upscaler using CUDA.
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993