# IT4Innovations
# LK 2023

name = 'NCCL'
version = '2.18.3'
versionsuffix = '-CUDA-%(cudaver)s'

homepage = 'https://developer.nvidia.com/nccl'
description = """The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multi-node collective
communication primitives that are performance optimized for NVIDIA GPUs."""

toolchain = {'name': 'GCCcore', 'version': '11.3.0'}

github_account = 'NVIDIA'
source_urls = [GITHUB_SOURCE]
sources = ['v%(version)s-1.tar.gz']
checksums = ['b4f5d7d9eea2c12e32e7a06fe138b2cfc75969c6d5c473aa6f819a792db2fc96']

builddependencies = [('binutils', '2.38')]

dependencies = [
    ('CUDA', '12.2.0', '', SYSTEM),
    ('UCX-CUDA', '1.14.1', versionsuffix),
]

# default CUDA compute capabilities to use (override via --cuda-compute-capabilities)
cuda_compute_capabilities = ['8.0']

moduleclass = 'lib'
