The purpose of this benchmark tool is to evaluate performance bounds of GPUs (or CPUs) on mixed operational intensity kernels. The executed kernel is customized on a range of different operational intensity values. Modern GPUs are able to hide memory latency by switching execution to threads able to perform compute operations. Using this tool one can assess the practical optimum balance in both types of operations for a compute device. CUDA, HIP, OpenCL and SYCL implementations have been developed, targeting GPUs, or OpenMP when using a CPU as a target.
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Snaps are applications packaged with all their dependencies to run on all popular Linux distributions from a single build. They update automatically and roll back gracefully.
Snaps are discoverable and installable from the Snap Store, an app store with an audience of millions.
On Arch Linux, snap can be installed from the Arch User Repository (AUR). The manual build process is the Arch-supported install method for AUR packages, and you’ll need the prerequisites installed before you can install any AUR package. You can then install snap with the following:
git clone https://aur.archlinux.org/snapd.git
cd snapd
makepkg -si
Once installed, the systemd unit that manages the main snap communication socket needs to be enabled:
sudo systemctl enable --now snapd.socket
If AppArmor is enabled in your system, enable the service which loads AppArmor profiles for snaps:
sudo systemctl enable --now snapd.apparmor.service
To enable classic snap support, enter the following to create a symbolic link between /var/lib/snapd/snap and /snap:
sudo ln -s /var/lib/snapd/snap /snap
Either log out and back in again, or restart your system, to ensure snap’s paths are updated correctly.
To install Mixbench, simply use the following command:
sudo snap install mixbench
Browse and find snaps from the convenience of your desktop using the snap store snap.
Interested to find out more about snaps? Want to publish your own application? Visit snapcraft.io now.