ViennaCL - The Vienna Computing Library  1.7.1
Free open-source GPU-accelerated linear algebra and solver library.
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User Manual

This manual describes the use of ViennaCL and consists of multiple parts:

Introduction Provides a first overview of ViennaCL
Installation How to build the examples and benchmarks in ViennaCL
Basic Types Description of the basic types in ViennaCL
Basic Operations Description of the basic operations available
Algorithms Discusses the use of the various algorithms available
Interfacing Other Libraries Using ViennaCL with other libraries such as Boost.uBLAS, Eigen, or MTL4
Memory Model Explains the memory model used in ViennaCL
Shared Library

How to use ViennaCL as a shared library from programming languages other than C++

Additional Algorithms (Unstable) Explains backend-specific (unstable) algorithms in ViennaCL
User-Provided OpenCL Contexts How to provide your own OpenCL context for use with ViennaCL
Configuring OpenCL Contexts and Devices How to use multiple compute devices concurrently with ViennaCL
Custom OpenCL Compute Kernels Shows how to use your own compute kernels in CUDA or OpenCL with ViennaCL
Structured Matrix Types

Describes the structured matrices and associated operations available for the OpenCL backend

Design Decisions

Explains certain design decisions in ViennaCL

Authors and Contributors A list of authors and contributors to ViennaCL
Versioning Description of the basic types in ViennaCL
Change Log Lists the changes to ViennaCL in each release
License The permissive MIT/X11 license of ViennaCL