nv-snidhan/warp
A Python framework for accelerated simulation, data generation and spatial computing.
.
A Python framework for accelerated simulation, data generation and spatial computing.
DRL models for graph partitioning and sparse matrix ordering.
GPU-accelerated differentiable sparse linear solver library for JAX
NVIDIA curated collection of educational resources related to general purpose GPU programming.
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
An Adaptive Pencil Decomposition Library for NVIDIA GPUs
GPU-accelerated Navier-Stokes with NVIDIA Warp - GTC San Jose 2026 DLI lab
NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmers to perform one-sided communication from within CUDA kernels and on CUDA streams.
Stanford CS149 -- Assignment 2
Stanford CS149 -- Assignment 3
Stanford CS149 -- Assignment 1
Sheel's playground for CFD in JAX
A parallel programming training mini app simulating weather-like flows
PhysicsNeMo-Curator is a Python-based library designed to streamline and accelerate the process of data curation for engineering datasets.
Introductory tutorials on Warp