Jay Kruemcke
By: Jay Kruemcke

October 12, 2020 2:49 pm

1,466 views

Simplified access to the NVIDIA CUDA toolkit on SUSE Linux for HPC

Overview The High-Performance Computing industry is rapidly embracing the use of AI and ML technology in addition to legacy parallel computing. Heterogeneous Computing, the use of both CPUs and accelerators like graphics processing units (GPUs), has become increasingly more common and GPUs from NVIDIA are the most popular accelerators used today for AI/ML workloads. To […]

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Jay Kruemcke
By: Jay Kruemcke

July 23, 2020 9:07 pm

3,795 views

SUSE Enterprise Storage delivers best CephFS benchmark on Arm

  Since its introduction in 2006, Ceph has been used predominantly for volume-intensive use cases where performance is not the most critical aspect. Because the technology has many attractive capabilities, there has been a desire to extend the use of Ceph into areas such as High-Performance Computing. Ceph deployments in HPC environments are usually […]

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Jose Betancourt
By: Jose Betancourt

November 19, 2019 7:32 am

1,331 views

SC19: Empowering SUSE HPC customers with expanded options

SC19, the International Conference for High Performance Computing, Networking, Storage and Analysis is just around the corner.  For SUSE, it's a great opportunity to reconnect with customers and partners working in one of the sectors of our industry driving significant innovation in all aspects of computing. If I tried to succinctly define SUSE's message […]

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Meike Chabowski
By: Meike Chabowski

November 22, 2018 6:29 pm

2,252 views

Machine Learning: Oriented Text Detection from Natural Scene

This article has been contributed by Lin Ma, Software Engineer and KVM Virtualization Specialist at SUSE.         Oriented text detection in natural scene has attracted considerable attention from several research communities. And indeed, it can be quite important and useful. Today I’d like to present […]

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Sumit Jamgade
By: Sumit Jamgade

May 11, 2018 10:00 am

2,460 views

An experiment with Gnocchi – (the database) – Part 3

In Part 2, I summarized the iterations applied to the kernel (the piece of CUDA code that executes on GPU) to remove the bottlenecks encountered during profiling, like using shared memory to avoid non-coalesced memory access. In this part, I will talk about the final version of the kernel and using the GPU in other […]

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Sumit Jamgade
By: Sumit Jamgade

May 7, 2018 8:41 am

3,134 views

An Experiment with Gnocchi – (the Database) – Part 2

In Part 1, I introduced the problem of metrics aggregations for Ceilometer in OpenStack and how Gnocchi (a time-series database) tries to solve it in a different way. I argued about possibility of offloading work to (Nvida Quadro K620) GPU. This part summarizes the iterations applied to the kernel (piece of CUDA code, that executes […]

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Sumit Jamgade
By: Sumit Jamgade

May 3, 2018 2:11 pm

3,637 views

An Experiment with Gnocchi – (the Database) – Part 1

Background (Why): Openstack has component: Ceilometer (Telemetry). Ceilometer was huge and its main purpose was to help with the Monitoring and Metering of whole of th OpenStack. But because of the scale at which OpenStack operates, Ceilometer would often fall behind and become a major bottleneck for the same function it was designed to do. […]

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Michael Miller
By: Michael Miller

April 29, 2014 1:11 pm

12,554 views

SUSE Linux Enterprise 12 and IBM POWER8

Once again SUSE and IBM are jointly developing the next generation of Linux for IBM hardware because, as the SUSE motto says, “We adapt, you succeed.” In 1999, SUSE worked with IBM to bring System z into a new era, bringing Linux to the mainframe. Now, we are applying our deep software engineering […]

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cseader
By: cseader

April 23, 2014 8:42 am

6,303 views

openSUSE 13.1 with kernel 3.14 and NVIDIA

This patch provides the necessary bits required for NVIDIA Drivers to compile and run on kernel 3.14. Run the following. Download this kernel patch Download the NVIDIA driver version NVIDIA-Linux-x86_64-331.49.bin from root execute: # sh NVIDIA-Linux-x86_64-331.49.bin --apply-patch kernel-3.14-nvidia.patch Now install the custom NVIDIA Driver. Enjoy![…]

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