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Graphics/Benchmarks

Phoronix on Graphics

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Graphics/Benchmarks
Linux

AMDGPU-PRO OpenCL vs. NVIDIA 364 Compute Benchmarks On Ubuntu Linux

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Graphics/Benchmarks

Coming up in a short while I have some fresh AMDGPU-PRO BETA 2 (the fresh -PRO "hybrid" driver release) for OpenGL graphics performance while here are some quick OpenCL compute metrics.

I tested this new AMDGPU-PRO driver on the GCN 1.2-based Radeon R9 285 (Tonga) and R9 Fury (Fiji) graphics cards and it also worked out fine for the GCN 1.1-based Radeon R9 290. All the tests were done on Ubuntu 16.04 LTS with the Linux 4.4 kernel. I compared these latest AMD results to the NVIDIA 364.19 results I did from some recent benchmarks on Phoronix.

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Kernel Space/Linux and Linux Foundation’s Hyperledger Project

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Graphics/Benchmarks
Linux

Radeon Linux 4.6 + Mesa 11.3 vs. NVIDIA Linux Performance & Perf-Per-Watt

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Graphics/Benchmarks

For this round of testing I was using the very latest open-source AMD support: the Linux 4.6 kernel and Mesa 11.3-devel from this week. The Mesa 11.3-dev deployment was via the Padoka PPA atop Ubuntu 16.04 x86_64. The DDX drivers were also up to date for the testing process via the Padoka archive. The rest of the Ubuntu 16.04 stack with Unity 7.4, X.Org Server 1.18.3, GCC 5.3.1, etc, were maintained the same as last week's NVIDIA GeForce test results done using the 364.19 proprietary driver. The same test system was obviously used with the Xeon E3-1280 v5 Skylake CPU, MSI C236A Workstation motherboard, 16GB of DDR4-2133 EUDIMM memory, and 120GB Samsung 850 EVO SSD.

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Power & Performance Tests With Fedora 24 Beta, Linux 4.6 Kernel

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Graphics/Benchmarks
Red Hat

For those that have been requesting some fresh benchmarks looking at the system power consumption / efficiency of modern Linux distributions/kernels and how they're working out for laptops/ultrabooks, here are some fresh benchmarks on two Intel devices when comparing Fedora 23 to Fedora 24 Beta and also testing out the power performance with the Linux 4.6 kernel.

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More in Tux Machines

Leftovers: OSS

OSS in the Back End

  • Open Source NFV Part Four: Open Source MANO
    Defined in ETSI ISG NFV architecture, MANO (Management and Network Orchestration) is a layer — a combination of multiple functional entities — that manages and orchestrates the cloud infrastructure, resources and services. It is comprised of, mainly, three different entities — NFV Orchestrator, VNF Manager and Virtual Infrastructure Manager (VIM). The figure below highlights the MANO part of the ETSI NFV architecture.
  • After the hype: Where containers make sense for IT organizations
    Container software and its related technologies are on fire, winning the hearts and minds of thousands of developers and catching the attention of hundreds of enterprises, as evidenced by the huge number of attendees at this week’s DockerCon 2016 event. The big tech companies are going all in. Google, IBM, Microsoft and many others were out in full force at DockerCon, scrambling to demonstrate how they’re investing in and supporting containers. Recent surveys indicate that container adoption is surging, with legions of users reporting they’re ready to take the next step and move from testing to production. Such is the popularity of containers that SiliconANGLE founder and theCUBE host John Furrier was prompted to proclaim that, thanks to containers, “DevOps is now mainstream.” That will change the game for those who invest in containers while causing “a world of hurt” for those who have yet to adapt, Furrier said.
  • Is Apstra SDN? Same idea, different angle
    The company’s product, called Apstra Operating System (AOS), takes policies based on the enterprise’s intent and automatically translates them into settings on network devices from multiple vendors. When the IT department wants to add a new component to the data center, AOS is designed to figure out what needed changes would flow from that addition and carry them out. The distributed OS is vendor-agnostic. It will work with devices from Cisco Systems, Hewlett Packard Enterprise, Juniper Networks, Cumulus Networks, the Open Compute Project and others.
  • MapR Launches New Partner Program for Open Source Data Analytics
    Converged data vendor MapR has launched a new global partner program for resellers and distributors to leverage the company's integrated data storage, processing and analytics platform.
  • A Seamless Monitoring System for Apache Mesos Clusters
  • All Marathons Need a Runner. Introducing Pheidippides
    Activision Publishing, a computer games publisher, uses a Mesos-based platform to manage vast quantities of data collected from players to automate much of the gameplay behavior. To address a critical configuration management problem, James Humphrey and John Dennison built a rather elegant solution that puts all configurations in a single place, and named it Pheidippides.
  • New Tools and Techniques for Managing and Monitoring Mesos
    The platform includes a large number of tools including Logstash, Elasticsearch, InfluxDB, and Kibana.
  • BlueData Can Run Hadoop on AWS, Leave Data on Premises
    We've been watching the Big Data space pick up momentum this year, and Big Data as a Service is one of the most interesting new branches of this trend to follow. In a new development in this space, BlueData, provider of a leading Big-Data-as-a-Service software platform, has announced that the enterprise edition of its BlueData EPIC software will run on Amazon Web Services (AWS) and other public clouds. Essentially, users can now run their cloud and computing applications and services in an Amazon Web Services (AWS) instance while keeping data on-premises, which is required for some companies in the European Union.

today's howtos

Industrial SBC builds on Raspberry Pi Compute Module

On Kickstarter, a “MyPi” industrial SBC using the RPi Compute Module offers a mini-PCIe slot, serial port, wide-range power, and modular expansion. You might wonder why in 2016 someone would introduce a sandwich-style single board computer built around the aging, ARM11 based COM version of the original Raspberry Pi, the Raspberry Pi Compute Module. First off, there are still plenty of industrial applications that don’t need much CPU horsepower, and second, the Compute Module is still the only COM based on Raspberry Pi hardware, although the cheaper, somewhat COM-like Raspberry Pi Zero, which has the same 700MHz processor, comes close. Read more