nvidia-graphics-drivers-384 384.111-0ubuntu0.16.04.1 source package in Ubuntu

Changelog

nvidia-graphics-drivers-384 (384.111-0ubuntu0.16.04.1) xenial; urgency=medium

  * SECURITY UPDATE:
    - CVE-2017-5753 (LP: #1741807).
  * New upstream release:
    - Added support for the following GPUs:
      o GeForce MX130
      o GeForce MX110
      o GeForce GTX 1050 Ti with Max-Q Design
      o Quadro P500
    - Fixed a regression that prevented displays connected via some
      types of passive adapters (e.g. DMS-59 to VGA or DVI) from
      working correctly. The regression was introduced with driver
      version 384.98.
    - Fixed a bug that caused Quadro M2200 GPUs to enter the lowest
      available PowerMizer performance level when under load.
  * debian/templates/control.in:
    - Add Replaces/Conflicts/Provide for libcuda-9.0-1.
      Thanks to Graham Inggs for his contribution.
  * debian/templates/dkms_nvidia.conf.in:
    - Drop buildfix_kernel_4.14.patch.

 -- Alberto Milone <email address hidden>  Mon, 08 Jan 2018 15:42:11 +0100

Upload details

Uploaded by:
Alberto Milone
Uploaded to:
Xenial
Original maintainer:
Ubuntu Developers
Architectures:
i386 amd64 armhf
Section:
misc
Urgency:
Medium Urgency

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Binary packages built by this source

libcuda1-375: Transitional package for libcuda1-384

 This is a transitional package for libcuda1-384, and can be
 safely removed after the installation is complete.

libcuda1-384: NVIDIA CUDA runtime library

 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the driver specific runtime library.
 .
 Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
 series, as well as the Tesla computing processors.

nvidia-375: Transitional package for nvidia-384

 This is a transitional package for nvidia-384, and can be
 safely removed after the installation is complete.

nvidia-375-dev: Transitional package for nvidia-384-dev

 This is a transitional package for nvidia-384-dev, and can be
 safely removed after the installation is complete.

nvidia-384: NVIDIA binary driver - version 384.130

 The binary driver provide optimized hardware acceleration of OpenGL
 applications via a direct-rendering X Server. AGP, PCIe, SLI, TV-out
 and flat panel displays are also supported.
 .
 This package also includes the source for building the kernel module
 required by the Xorg driver, and provides NVIDIA's implementation of
 the Video Decode and presentation API. The latter enables acceleration
 for GeForce 8 and later series cards for h264 video.
 .
 Release Notes and supported GPUs:
 http://www.nvidia.com/object/linux-display-32bit-arm-384.130-driver.html

nvidia-384-dev: NVIDIA binary Xorg driver development files

 This package contains the NVIDIA binary Xorg driver
 development files.
 .
 For more information on this source package visit NVIDIA's homepage
 at http://www.nvidia.com/ .

nvidia-libopencl1-375: Transitional package for nvidia-libopencl1-384

 This is a transitional package for nvidia-libopencl1-384, and can be
 safely removed after the installation is complete.

nvidia-libopencl1-384: NVIDIA OpenCL Driver and ICD Loader library

 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package contains NVIDIA's OpenCL implementation and the ICD Loader
 library. This library supports only OpenCL 1.1.

nvidia-opencl-icd-375: Transitional package for nvidia-opencl-icd-384

 This is a transitional package for nvidia-opencl-icd-384, and can be
 safely removed after the installation is complete.

nvidia-opencl-icd-384: NVIDIA OpenCL ICD

 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package provides the NVIDIA installable client driver (ICD) for OpenCL
 which supports NVIDIA GPUs.