ptrblck changed the title Nightlt pip wheel+cu121 reports NCCL==2.18.1, but installs nvidia-nccl-cu12==2.19.3 Nightly pip wheel+cu121 reports NCCL==2.18.1, but installs nvidia-nccl-cu12==2.19.3 Jan 8, 2024 Contributor malfet commented Jan 8, 2024 This is really weird, I've p...
‣ Made host memory allocation use cumem functions by default. Fixed Issues The following issues have been resolved in NCCL 2.24.3: ‣ Return ncclInvalidUsage when NCCL_SOCKET_IFNAME is set to an incorrect value. NVIDIA Collective Communication Library (NCCL) RN-08645-000_v2.25.1 ...
nvidia-cublas-cu12 12.1.3.1 nvidia-cuda-cupti-cu12 12.1.105 nvidia-cuda-nvrtc-cu12 12.1.105 nvidia-cuda-runtime-cu12 12.1.105 nvidia-cudnn-cu12 8.9.2.26 nvidia-cufft-cu12 11.0.2.54 nvidia-curand-cu12 10.3.2.106 nvidia-cusolver-cu12 11.4.5.107 nvidia-cusparse-cu12 12.1.0.106 nvidia-ncc...
NVIDIA Collective Communication Library (NCCL) Release Notes RN-08645-000_v2.15.5 | March 2024 Table of Contents Chapter 1. NCCL Overview... 1 Chapter 2. NCCL Release 2.20.5...
https://docs.nvidia.com/deeplearning/sdk/nccl-developer-guide/docs/overview.html(nccl doc) 内容摘录: 通信性能(应该主要侧重延迟)是pcie switch > 同 root complex (一个cpu接几个卡) > 不同root complex(跨cpu 走qpi)。ib的gpu direct rdma比跨cpu要快,所以甚至单机八卡要按cpu分成两组,每组一个swit...
NCCL是英伟达开源的GPU通信库,支持集合通信和点对点通信。 看下官方给的一个demo: #include <stdio.h> #include "cuda_runtime.h" #include "nccl.h" #include "mpi.h" #include <unistd.h> #include <stdint.h> #define MPICHECK(cmd) do { \ int e = cmd; \ if( e != MPI_SUCCESS ) { \...
CUDA accelerates applications across a wide range of domains from image processing, to deep learning, numerical analytics and computational science. More Applications Get Started with CUDA Get started with CUDA by downloading the CUDA Toolkit and exploring introductory resources including videos, code samp...
Brad Lightcap, OpenAI 50:54 Fireside Chat With Fei-Fei Li and Bill Dally: The High-… Bill Dally, NVIDIA 45:56 A Culture of Open and Reproducible Research, in… Joelle Pineau, Meta 49:25 Insights from NVIDIA Research Bill Dally, NVIDIA ...
NCCL实现成CUDA C++ kernels,包含3种primitive operations: Copy,Reduce,ReduceAndCopy。目前NCCL 1.0版本只支持单机多卡,卡之间通过PCIe、NVlink、GPU Direct P2P来通信。NCCL 2.0会支持多机多卡,多机间通过Sockets (Ethernet)或者InfiniBand with GPU Direct RDMA通信。
其实这两个包,都是使用python的ctypes对libnvidia-ml.so.1进行包装,方法类似于之前提到的纯Python直接调用nccl动态链接库。 使用方法上,很多函数在调用之前需要初始化、调用之后需要关闭nvml。所以下面这段代码很有用: from contextlib import contextmanager ...