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This package provides the CUDA compiler and the CUDA run-time support libraries for NVIDIA GPUs, all of which are proprietary.
This package provides the CUDA C++ developers with building blocks that make it easier to write safe and efficient code. It unifies three essential former CUDA C++ libraries into a single repository:
Thrust (former repo)
CUB (former repo)
libcudacxx (former repo)
This package provides the CUDA compiler and the CUDA run-time support libraries for NVIDIA GPUs, all of which are proprietary.
This package provides a high-performance, GPU accelerated JPEG decoding functionality for image formats commonly used in deep learning and hyperscale multimedia applications. The library offers single and batched JPEG decoding capabilities which efficiently utilize the available GPU resources for optimum performance; and the flexibility for users to manage the memory allocation needed for decoding.
The nvJPEG library enables the following functions: use the JPEG image data stream as input; retrieve the width and height of the image from the data stream, and use this retrieved information to manage the GPU memory allocation and the decoding. A dedicated API is provided for retrieving the image information from the raw JPEG image data stream.
The encoding functions of the nvJPEG library perform GPU-accelerated compression of user’s image data to the JPEG bitstream. User can provide input data in a number of formats and colorspaces, and control the encoding process with parameters. Encoding functionality will allocate temporary buffers using user-provided memory allocator.
NCCL (pronounced "Nickel") is a stand-alone library of standard communication routines for NVIDIA GPUs, implementing all-reduce, all-gather, reduce, broadcast, reduce-scatter, as well as any send/receive based communication pattern. It has been optimized to achieve high bandwidth on platforms using PCIe, NVLink, NVswitch, as well as networking using InfiniBand Verbs or TCP/IP sockets. NCCL supports an arbitrary number of GPUs installed in a single node or across multiple nodes, and can be used in either single- or multi-process (e.g., MPI) applications.
This package provides a set of GPU-accelerated basic linear algebra subroutines used for handling sparse matrices that perform significantly faster than CPU-only alternatives. Depending on the specific operation, the library targets matrices with sparsity ratios in the range between 70%-99.9%.
This package provides a set of APIs which can be used at runtime to link together GPU devide code. It supports Link Time Optimization.
This package provides the CUDA compiler and the CUDA run-time support libraries for NVIDIA GPUs, all of which are proprietary.
(guix-science-nonfree packages fabric-management)GDRCopy is a low-latency GPU memory copy library based on GPUDirect RDMA technology that allows the CPU to directly map and access GPU memory.
(guix-science-nonfree packages fabric-management)Unified Communication X (UCX) provides an optimized communication layer for message passing (MPI), portable global address space (PGAS) languages and run-time support libraries, as well as RPC and data-centric applications.
UCX utilizes high-speed networks for inter-node communication, and shared memory mechanisms for efficient intra-node communication.
This package adds CUDA support for NVIDIA GPUs.
This package is a set of utilities libraries all FSL modules
Topup is a tool within FSL that corrects for susceptibility-induced distortions in echo planar imaging (EPI) data.
This library is likely a component of FSL dedicated to the analysis and visualization of cortical surface data in neuroimaging studies.
libgdc is a module within FSL that provides essential graphical or data handling functionalities, with its source code available on GitLab.
Collection of miscellaneous C functions and utilities within FSL, providing various helper functions for neuroimaging analysis.
Warpfns is a set of functions within the FSL (FMRIB Software Library) used for handling and applying spatial transformations (warps) to MRI images.
Giftiio is a library within FSL for reading and writing GIFTI files, a format used for surface-based data representation in neuroimaging.
Eddy is a tool within FSL that corrects for eddy current distortions and head movements in diffusion MRI data.
Tool within FSL designed for fieldmap-based correction of geometric distortions in EPI images, crucial for accurate fMRI analysis.
A library that implement miscellaneous mathematicals methods.
Eddy is a tool within FSL that corrects for eddy current distortions and head movements in diffusion MRI data.
FAST4 is an automated segmentation tool in FSL that segments brain images into different tissue types and corrects for bias field inhomogeneities.
MCFLIRT (Motion Correction using FMRIB's Linear Image Registration Tool) is a tool within FSL designed to perform motion correction on fMRI data.
The bet2 module in FSL is a brain extraction tool that removes non-brain tissue from MRI images, aiding in isolating the brain for further analysis.