This package provides tooling to configure the NVSwitch memory fabrics to form one memory fabric among all participating GPUs, and monitors the NVLinks that support the fabric. See docs for more information.

This package enables the creation of profiling and tracing tools that target CUDA applications and give insight into the CPU and GPU behavior of CUDA applications. It provides the following APIs:

• the Activity API,

• the Callback API,

• the Event API,

• the Metric API,

• the Profiling API,

• the PC Sampling API,

• the Checkpoint API.

This package provides facilities that focus on the simple and efficient generation of high-quality pseudorandom and quasirandom numbers. A pseudorandom sequence of numbers satisfies most of the statistical properties of a truly random sequence but is generated by a deterministic algorithm. A quasirandom sequence of -dimensional points is generated by a deterministic algorithm designed to fill an -dimensional space evenly.

This package provides an interface for generating PTX code from both binary and text NVVM IR inputs.

This package provides a minimal low-level profiling API for CUDA.

This package provides the NVIDIA cuBLAS library. It includes several API extensions for providing drop-in industry standard BLAS APIs and GEMM APIs with support for fusions that are highly optimized for NVIDIA GPUs. The cuBLAS library also contains extensions for batched operations, execution across multiple GPUs, and mixed- and low-precision execution with additional tuning for the best performance.

This package provides a command-line tool to profile CUDA kernels. It enables the collection of a timeline of CUDA-related activities on both CPU and GPU, including kernel execution, memory transfers, memory set and CUDA API calls and events or metrics for CUDA kernels.

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.

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.

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.

Module within FSL that provides visualization functionalities, with its source code available on GitLab.

Giftiio is a library within FSL for reading and writing GIFTI files, a format used for surface-based data representation in neuroimaging.

This package is a build dependency of all FSL modules.

It is a set of useful command-line utilities which allow the conversion, processing etc.of Analyze/AVW and Nifti format data sets

cudabasisfield is a FSL module providing helper functions for CUDA operations, facilitating GPU acceleration in FSL tools.

FLIRT (FMRIB's Linear Image Registration Tool) is a fully automated robust and accurate tool for linear (affine) intra- and inter-modal brain image registration.

Module within FSL that facilitates input/output operations using VTK (Visualization Toolkit), enabling advanced visualization and data handling for neuroimaging.

Module within FSL that provides advanced functionalities for FEAT (FMRI Expert Analysis Tool), including pre-processing steps, model setup, and statistical analysis for fMRI data.

A library that returns the object representing an image/volume once it has been deserialized by the newnifti library. The library implements a data container and common operations for nifti images/volumes

Tool within FSL for FMRIB's Improved Linear Model, used for statistical analysis of fMRI data, enhancing accuracy and reliability.

libgdc is a module within FSL that provides essential graphical or data handling functionalities, with its source code available on GitLab.

A wrapper that encapsulates the CEPHES Cmath library.

Module within FSL that provides advanced functionalities for simulating MRI data, including pulse sequence generation, signal generation, noise addition, and image reconstruction.

MCFLIRT (Motion Correction using FMRIB's Linear Image Registration Tool) is a tool within FSL designed to perform motion correction on fMRI data.