ViennaCL - The Vienna Computing Library: User Manual

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