docs.rs failed to build gpu-sw-1.0.1
Please check the build logs for more information.
See Builds for ideas on how to fix a failed build, or Metadata for how to configure docs.rs builds.
If you believe this is docs.rs' fault, open an issue.
Please check the build logs for more information.
See Builds for ideas on how to fix a failed build, or Metadata for how to configure docs.rs builds.
If you believe this is docs.rs' fault, open an issue.
Visit the last successful build:
gpu-sw-1.0.4
GPU-SW, GPGPU-enabled SW algorithm
This library provides the GPU-SW algorithm, a GPGPU-enabled classical pairwise alignment one.
Dependencies
The dependency in this project is Arrayfire (for the GPGPU computation). ArrayFire could be thought as a wrapper of CUDA, OpenCL, and CPU multithreading, providing a unified programming interface and releasing us to optimize for each GPU. Although ArrayFire doesn't need to write kernel code, the GPGPU speed achieves to/is faster rather than one obtained by writing native kernel code.
Author
License
Copyright (c) 2017 Heartsh
Licensed under the MIT license.