GPU-accelerated linear solvers based on the conjugate gradient (CG) method, supporting NVIDIA and AMD GPUs with GPU-aware MPI, NCCL, RCCL or NVSHMEM
-
Updated
Apr 27, 2025 - C
#
multi-gpu
Here are 3 public repositories matching this topic...
Neural Network C is an advanced neural network implementation in pure C, optimized for high performance on CPUs and NVIDIA GPUs.
machine-learning encryption deep-learning neural-network openmp mpi parallel-computing cuda transformers artificial-intelligence high-performance-computing convolutional-neural-networks gpu-computing quantization bayesian-optimization multi-gpu c-programming real-time-monitoring secure-computing tensor-cores
-
Updated
Mar 29, 2025 - C
Benchmarks for Multi-GPU Communication with MVAPICH2
-
Updated
Jan 4, 2017 - C
Improve this page
Add a description, image, and links to the multi-gpu topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the multi-gpu topic, visit your repo's landing page and select "manage topics."