This is the Linux app named NVIDIA Warp whose latest release can be downloaded as v1.12.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
NVIDIA Warp
DESCRIPTION:
NVIDIA Warp is a high-performance Python framework developed by NVIDIA for building and accelerating simulation, graphics, and physics-based workloads using GPU computing. It enables developers to write kernel-level code in Python that is automatically compiled into efficient CUDA kernels, combining ease of use with near-native performance. The framework is designed for applications such as robotics, reinforcement learning, physical simulation, and differentiable computing, where performance and flexibility are critical. Warp provides a set of primitives for working with arrays, geometry, and physics operations, allowing users to implement complex simulations without writing low-level CUDA code directly. It also supports differentiable programming, enabling gradients to be computed through simulation pipelines, which is particularly valuable for machine learning integration.
Features
- Python-based GPU kernel programming model
- Automatic compilation to CUDA for high performance
- Support for simulation and physics-based workloads
- Differentiable programming capabilities
- Scalable execution across GPUs
- Built-in primitives for arrays and geometry
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/nvidia-warp.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.