Scaling Deep Learning Training with NCCL | NVIDIA Technical Blog
NCCL provides optimized implementation of inter-GPU communication operations, such as allreduce, allowing CUDA applications and deep learning frameworks to efficiently use multiple GPUs.The latest NCCL 2.3 release is fully open-source and available on GitHub, with pre-built binaries available on NVIDIA's Developer Zone, providing flexibility and enabling community discussions.NCCL achieves high ba
Maximizing Unified Memory Performance in CUDA | NVIDIA Technical Blog
NVIDIA's Unified Memory combines the advantages of explicit copies and zero-copy access, allowing the GPU to access any page of system memory and migrate data on-demand to its own memory for high-bandwidth access.To optimize Unified Memory performance, developers can use techniques like warp-per-page access patterns, which can reduce page faults and improve data locality, achieving up to a 2x spee
Thrust
Thrust is a powerful library of parallel algorithms and data structures. Thrust provides a flexible, high-level interface for GPU programming that greatly enhances developer productivity. Using Thrust, C++ developers can write just a few lines of code to perform GPU-accelerated sort, scan, transform, and reduction operations orders of magnitude faster than the latest multi-core CPUs. For example,
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Using CUDA Warp-Level Primitives | NVIDIA Technical Blog
CUTLASS: Fast Linear Algebra in CUDA C++ | NVIDIA Technical Blog