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          BigPanDA Experience on LCF and HPC for the ATLAS Experiment at the LHC and data intensive science      Cache   Translate Page      
The PanDA software is used for workload management on distributed grid resources by the ATLAS experiment at the LHC. An effort was launched to extend PanDA, called BigPanDA, to access HPC resources, funded by the US Department of Energy (DOE-ASCR). Through this successful effort, ATLAS today uses over 25 million hours monthly on the Titan supercomputer at Oak Ridge National Laboratory. Many challenges were met and overcome in using HPCs for ATLAS simulations. ATLAS uses two different operational modes at Titan. The traditional mode uses allocations - which require software innovations to fit the low latency requirements of experimental science. New techniques were implemented to shape large jobs using allocations on a leadership class machine. In the second mode, high priority work is constantly sent to Titan to backfill high priority leadership class jobs. This has resulted in impressive gains in overall utilization of Titan, while benefiting the physics objectives of ATLAS. For both modes, BigPanDA has integrated traditional grid computing with HPC architecture. This talk will summarize the innovations to successfully use Titan for LHC physics goals
          Energy Seminar: Julio Friedmann      Cache   Translate Page      
Date: Monday, October 22, 2018. 4:30 PM.
Location: NVIDIA Auditorium, Jen-Hsun Huang Engineering Center

Speaker Biography:

Dr. Julio Friedmann was the Principal Deputy Assistant Secretary for the Office of Fossil Energy, at the U.S. Department of Energy. His portfolio included R&D and programs in Clean Coal and Carbon Management, Oil and Gas systems, international engagements in clean fossil energy, and inter-agency engagements within the U.S. government. His earlier appointment as Deputy Assistant Secretary for Clean Coal and Carbon Management focused on clean coal and carbon capture, utilization, and storage. 

In his prior appointment as Chief Energy Technologist for Lawrence Livermore National Laboratory, Dr. Friedmann’s research included smart grid and energy systems analysis, conventional and unconventional hydrocarbons, CCS, geothermal power, renewable power prediction and integration, and supercomputing applications to energy. Earlier, he worked for five years as a senior research scientist at ExxonMobil and as faculty at the University of Maryland. Dr. Friedmann has a Bachelor of Science and Master of Science from the Massachusetts Institute of Technology and a Ph.D. in Geology from the University of Southern California.


          Linux Kernel Vs. Mac Kernel      Cache   Translate Page      
http://www.linuxandubuntu.com/home/difference-between-linux-kernel-mac-kernel

Difference Between Linux Kernel & Mac Kernel
Both the Linux kernel and the macOS kernel are UNIX-based. Some people say that macOS is "linux", some say that both are compatible due to similarities between commands and file system hierarchy. Today I want to show a little of both, showing the differences and similarities between Linux Kernel & Mac kernel like I mentioned in previous Linux kernel articles.

Kernel of macOS

In 1985, Steve Jobs left Apple due to a disagreement with CEO John Sculley and Apple's board of directors. He then founded a new computer company called NeXT. Jobs wanted a new computer (with a new operating system) to be released quickly. To save time, the NeXT team used the Carnegie Mellon Mach kernel and parts of the BSD code base to create the NeXTSTEP operating system.
NeXTSTEP desktop operating system
NeXT has never become a financial success, in part due to Jobs's habit of spending money as if he were still at Apple. Meanwhile, Apple tried unsuccessfully to update its operating system on several occasions, even partnering with IBM. In 1997, Apple bought NeXT for $429 million. As part of the deal, Steve Jobs returned to Apple and NeXTSTEP became the foundation of macOS and iOS.

Linux kernel

Unlike the macOS kernel, Linux was not created as part of a commercial enterprise. Instead, it was created in 1991 by computer student Linus Torvalds. Originally, the kernel was written according to the specifications of Linus's computer because he wanted to take advantage of his new 80386 processor. Linus posted the code for his new kernel on the web in August 1991. Soon, he was receiving code and resource suggestions Worldwide. The following year, Orest Zborowski ported the X Windows System to Linux, giving it the ability to support a graphical user interface.

MacOS kernel resources

The macOS kernel is officially known as XNU. The acronym stands for "XNU is Not Unix." According to Apple's official Github page, XNU is "a hybrid kernel that combines the Mach kernel developed at Carnegie Mellon University with FreeBSD and C++ components for the drivers." The BSD subsystem part of the code is "normally implemented as userspace servers in microkernel systems". The Mach part is responsible for low-level work such as multitasking, protected memory, virtual memory management, kernel debugging support, and console I/O.
macos kernel resources
Map of MacOS: the heart of everything is called Darwin; and within it, we have separate system utilities and the XNU kernel, which is composed in parts by the Mach kernel and by the BSD kernel.

Unlike Linux, this kernel is split into what they call the hybrid kernel, allowing one part of it to stop for maintenance, while another continues to work. In several debates this also opened the question of the fact that a hybrid kernel is more stable; if one of its parts stops, the other can start it again.

Linux kernel resources

While the macOS kernel combines the capabilities of a microkernel with Mach and a monolithic kernel like BSD, Linux is just a monolithic kernel. A monolithic kernel is responsible for managing CPU, memory, inter-process communication, device drivers, file system, and system service calls. That is, it does everything without subdivisions.

Obviously, this has already garnered much discussion even with Linus himself and other developers, who claim that a monolithic kernel is more susceptible to errors besides being slower; but Linux is the opposite of this every year, and can be optimized as a hybrid kernel. In addition, with the help of RedHat, the kernel now includes a Live Patch that allows real-time maintenance with no reboot required.

Differences between MacOS Kernel (XNU) and Linux

  1. The MacOS kernel (XNU) has existed for longer than Linux and was based on a combination of two even older code bases. This weighs in favor, for stability and history.
  2. On the other hand, Linux is newer, written from scratch and used on many other devices; so much that it is present in all 500 best among the best supercomputers and in the recently inaugurated North American supercomputer.

​In the system scope, we do not have a package manager via the command line in the macOS terminal.
The installation of the packages in .pkg format - such as BSD - is via this command line, if not through the GUI:
$ sudo installer -pkg /path/to/package.pkg -target /
NOTE: MacOS .pkg is totally different from BSD .pkg!
Do not think that macOS supports BSD programs and vice versa. It does not support and does not install.
You can have a command equivalent to apt in macOS, under 2 options: Installing Homebrew or MacPorts.  In the end, you will have the following syntax:
$ brew install PACKAGE
$ port install PACKAGE
Remember that not all programs/packages available for Linux or BSD will be in MacOS Ports.

Compatibility

In terms of compatibility, there is not much to say; the Darwin core and the Linux kernel are as distinct as comparing the Windows NT kernel with the BSD kernel. Drivers written for Linux do not run on macOS and vice versa. They must be compiled beforehand; Curiously, Linux has a series of macOS daemons, including the CUPS print server!

What we have in common compatibility are, in fact, terminal tools like GNU Utils packages or Busybox, so we have not only BASH but also gcc, rm, dd, top, nano, vim, etc. And this is intrinsic to all UNIX-based applications. In addition, we have the filesystem folders architecture, common folders common to root in /, / lib, / var, / etc, / dev, and so on.

Conclusion

MacOS and Linux have their similarities and differences, just like BSD compared to Linux. But because they are based on UNIX, they share patterns that make them familiar to the environment. Those who use Linux and migrate pro macOS or vice versa will be familiar with a number of commands and features. The most striking difference would be the graphical interface, whose problem would be a matter of personal adaptation.

          Fujifilm Is First in Japan to Adopt NVIDIA DGX-2 Supercomputer      Cache   Translate Page      

FUJIFILM Corporation is the first company in Japan to adopt the NVIDIA DGX-2 AI supercomputer, which it will use to accelerate the development of AI technology for fields such as healthcare and medical imaging systems and its highly functional materials for displays and more. Fujifilm is implementing a new supercomputer cluster consisting of multiple DGX-2 Read article >

The post Fujifilm Is First in Japan to Adopt NVIDIA DGX-2 Supercomputer appeared first on The Official NVIDIA Blog.


          Java SE Runtime Environment 8 Update v121 (x86/x64) 180913      Cache   Translate Page      

Java SE Runtime Environment 8 Update v121 (x86/x64) 180913
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Java SE Runtime Environment 8 Update v121 (x86/x64) | 189/195 MB

Java allows you to play online games, chat with people around the world, calculate your mortgage interest, and view images in 3D. These applications, written in the Java programming language and access from your browse, are called applets. Corporations also use Java applets for intranet applications and other e-business solutions. Java is used by companies in all major industries. Whether deployed on cell phones, embedded devices, game consoles, laptops, or in datacenters, Java offers the rich user interface, performance, versatility, portability, and security that today's networked applications require. Java Platform Standard Edition software is the premier platform for rapidly developing and deploying secure, portable applications that run on server and desktop systems spanning most operating systems.
Java Runtime Environment contains the Java virtual machine, runtime class libraries, and Java application launcher that are necessary to run programs written in the Java programming language.
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Java technology is an object-oriented, platform-independent, multithreaded programming environment. Whether developing applications for consumers or mission-critical deployments, you can depend on a consistent programming environment.
* Enables you to efficiently deploy exciting new applications and services
* Enables applications to securely access key system resources while protecting your data
* Allows you to do more with your applications, from real-time capabilities to high-performance multitasking virtual machines to broad access to system capabilities
* Runs across more than seven billion devices including mobile, desktop, television, and countless embedded devices

Java is everywhere - and for good reason. As the foundation for virtually every type of networked application, Java is the global standard for developing and delivering mobile applications, games, Web-based content, and enterprise software. For nearly 20 years, Java has helped businesses provide end users with leading-edge functionality in consumer gaming, Web, and enterprise applications.

Java technology was created as a computer programming tool in a small, secret effort called "the Green Project" at Sun Microsystems in 1991. As it turns out, the Internet was ready for Java technology, and just in time for its initial public introduction in 1995, the team was able to announce that the Netscape Navigator Internet browser would incorporate Java technology.

Now, the Java platform has attracted over 5 million software developers, worldwide use in every major industry segment, and a presence in a wide range of devices, computers, and networks of any programming technology. Today, you can find Java technology in networks and devices that range from the Internet and scientific supercomputers to laptops and cell phones, from Wall Street market simulators to home game players and credit cards - just about everywhere. The best way to preview these applications is to explore java.com, the ultimate marketplace, showcase, and central information resource for businesses, consumers, and software developers who use Java technology.

Key features:
* Write software on one platform and run it on practically any other platform
* Create programs to run within a web browser and web services
* Develop server-side applications for online forums, stores, polls, HTML forms processing, and more
* Combine Java technology-based applications or services to create highly customized applications or services
* Write powerful and efficient applications for mobile phones, remote processors, low-cost consumer products, and practically any device with a digital heartbeat

Java is one of the most popular application platforms on the planet. Which version of Java is right for you?
* Java Platform, Standard Edition (Java SE) is the best platform for development of desktop, server and high-end embedded devices, and it is the most versatile runtime for Java as well as many other languages.
* Java Platform, Micro Edition (Java ME) is the best software for resource-constrained embedded devices and has seen widespread deployment across mobile handsets and digital television devices.
* Java Platform, Enterprise Edition (Java EE) is the standard for delivering secure, robust, scalable, multi-platform applications and services across the enterprise, from server and desktop applications to wireless and wireline applications.

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          Comment on How We Were: The Years of Hitchhiking, by Fred Reed      Cache   Translate Page      
I really do not understand the pervasive negativity that I perceive. There are so many reasons to be highly optimistic. For example, the upward ramp of computational power continues. Home computers are approaching 1 Teraflop and within roughly a year there will be an Exaflop supercomputer. Notably, all the major global superpowers are racing to have the first Exaflop. This should not be surprising. Once Singularity feedback occurs there will be a volcanic plume of wealth erupting from the nation that closed the loop. The entire universe is being saturated with cognitive ability. The Turing line between what humans and artificial technologies can achieve continues to blur. Recently, an autonomous voice answering service performed so perfectly that it was not possible to determine whether it was human or artificial. A world saturated with technology would be so amazingly interesting. You could walk out your door and run into an Einstein bot or a Plato bot. Such technology will make our lives so much more alive and engaging. We are approaching an artificial/virtual world in which the cognitive environment could interact with people in ways that are not possible now. Of course, the genetics of human IQ has now been unlocked. The recent article from Nature Genetics left no doubt that the Genetic Singularity has essentially arrived. It is not plausible to believe that this will not have an overwhelming impact impact on humanity. The global cognitive elite no longer want to even bother debating the question. Shifting human IQ even by 1 SD will have profound consequences. It should be fairly clear that the medium term trajectory for technological change will be nearly vertical. That is how I see how we are. With all this excitement I would not want to be hitchhiking on a backroad or chemically unconscious for even a second. Getting away from it all would be torture. Sure, I have always felt immediately better whenever I have gotten away from human civilization for a few days, though with all the current excitement I don't want to miss a moment of it.
          Episode 130: #130: Bless Your Heart      Cache   Translate Page      
We Give Thanks Special Guest: Jamie Duncan.
          Episode 91: #91: The Truck Factor      Cache   Translate Page      

This week Dave and Gunnar talk about: Kommisars in the board room, Akron Police Department’s compulsory feeling of safety, more warm fuzzies from OPM, and more Yahoo! news than you ever thought possible.

stasi-tourist

 

Cutting Room Floor

 

We Give Thanks

  • Thanks to Red Hat Middleware Solutions Architect David Murphy for finding our episode 89 Easter egg!
  • The whole dgshow Slack crew
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          Episode 84: #84: The Kill Chain      Cache   Translate Page      

This week Dave and Gunnar talk about: automated swarms, automated chefs, and automated kill chains.

remote_control_cockroach_cyborg

 

Cutting Room Floor

We Give Thanks

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          Episode 35: #35: Say My Name      Cache   Translate Page      

This week, Dave and Gunnar talk about: US Government bitcoins, skeumorphic bitcoins, TSA coin-flips, twitter drops a dime on the US government, OSS payload this Federal IT award season, our $.02 on RHEL 6.5 and Fedora 20.

RSS Icon#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000 Subscribe via RSS or iTunes.

redhatheisenberg

Cutting Room Floor

We Give Thanks

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          Episode 34: #34: Velociraptor      Cache   Translate Page      

This week on Dave and Gunnar: Oracle plays with science, Amazon plays with the US Postal Service, and everyone plays with tracking you like a criminal.

RSS Icon#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000 Subscribe via RSS or iTunes.

velociraptor

Cutting Room Floor

We Give Thanks

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          Episode 33: #33: Beard Phone      Cache   Translate Page      

This week, Dave and Gunnar talk about badBIOS and unreliable narrators, 85% of Android is crap, warrant canaries, and special guest star Adam Clater talking about OpenShift and ownCloud

RSS Icon#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000 Subscribe via RSS or iTunes.

beards

Cutting Room Floor

We Give Thanks

  • Adam Clater for guest starring!
  • Gunnar’s mom for teaching us about warrant canaries
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          Energia: la crescita professionale di Roberto Casula       Cache   Translate Page      
Il ritratto professionale di Roberto Casula: dalle prime esperienze in Agip all’affermazione in Eni, dove oggi coordina alcuni dei progetti più rilevanti in materia di innovazione tecnologica.
Roberto Casula: il percorso professionale del manager
Laureatosi in Ingegneria Mineraria presso l’Università degli Sudi di Cagliari, città in cui è nato nel 1962, Roberto Casula comincia a lavorare in Agip S.p.A. come Reservoir Engineer non appena viene abilitato a esercitare la professione. Nel 1992 si reca a Luanda, in Angola, per lavorare all’interno della consociata Agip Angola Ltd: qui ricopre gli incarichi di Reservoir Engineer, Petroleum Engineer e Chief Development Engineer. Rientrato in Italia nel 1997, diventa Development and Production Coordinator in Eni S.p.A. È l’inizio della crescita professionale all’interno del gruppo petrolifero che lo vede prima operare come Responsabile dei Servizi Tecnici di progetto per le attività in Iran (2000) e successivamente come Dirigente e Project Director del progetto Giant South Pars Gas fasi 4-5 (2001), Managing Director di Eni Mediterranea Idrocarburi S.p.A. (2004), Managing Director di Eni Nord Africa BV (2005), Senior Vice President della Regione Sub-Sahariana e Presidente delle 3 consociate Eni Abuja (Nigeria). Nel 2011 Roberto Casula viene scelto come Executive Vice President del gruppo nelle aree dell’Africa e del Medioriente. Da luglio 2014 è Chief Development Operations & Technology Officer di Eni S.p.A., a diretto riporto dell’Amministratore Delegato.

Roberto Casula: i progetti più recenti coordinati in Eni
Sono molti i progetti supervisionati da Roberto Casula nel ruolo di Chief Development Operations & Technology Officer di Eni: recentemente, ad esempio, ha coordinato il team che ha lavorato alla progettazione del supercalcolatore HPC4, il più potente computer in Europa destinato alla produzione industriale Oil & Gas. Sviluppato per ottenere il massimo livello di efficienza energetica, il supercomputer consentirà agli ingegneri di giacimento del gruppo di quantificare con maggiore accuratezza l’incertezza geologica e di incorporare i dati acquisiti: oltre a un’accelerazione del time-to-market sui progetti, questo strumento permetterà di ottimizzare le strategie di gestione dei giacimenti per tutti gli asset produttivi. Non solo: in un’intervista a Reuters del febbraio scorso Roberto Casula ha parlato anche del progetto che sta impegnando Eni insieme al MIT di Boston nella realizzazione della prima centrale di produzione di energia elettrica dalla fusione nucleare. Un impianto da 200 MW elettrici che dovrebbe entrare in funzione a partire dal 2033.

          Solution Architect Team Lead - Cray - San Jose, CA      Cache   Translate Page      
This position is responsible for understanding and complying with Cray internal controls. Our business is supercomputing....
From Cray - Thu, 13 Sep 2018 02:18:21 GMT - View all San Jose, CA jobs
          [$10 Coupon Code] Lenovo SS2 SSD Solid State Drive Network Storage 4TB Just for $259.99 with Free Delivery      Cache   Translate Page      

Today we have network storage 4 terabyte SSD drive from Lenovo which is on discounted price, it just cost us $259 for 4TB As we all Know Lenovo is most popular Chinese MNTC manufacture Smartphones, desktops, servers, notebooks, tablet computers, netbooks, supercomputers, peripherals, printers, televisions, scanners, storage devices, few year back company start manufacture their […]

The post [$10 Coupon Code] Lenovo SS2 SSD Solid State Drive Network Storage 4TB Just for $259.99 with Free Delivery appeared first on Pdevice.com: Review, Specification, Price, Compare, Tech News & Details of Mobile Phone and Electronics Gadget Online.


          Solution Architect Team Lead - Cray - San Jose, CA      Cache   Translate Page      
This position is responsible for understanding and complying with Cray internal controls. Our business is supercomputing....
From Cray - Thu, 13 Sep 2018 02:18:21 GMT - View all San Jose, CA jobs
          TACC Podcast Discusses Frontera Supercomputer with NSF’s Manish Parashar      Cache   Translate Page      

On August 29, the NSF and TACC announced that Stampede 2 would be augmented with a new system called Frontera, which will become the new fastest university supercomputer in the United States. The NSF awarded TACC $60 million for acquisition and deployment of Frontera, which has an anticipated peak performance between 35-40 petaflops and is […]

The post TACC Podcast Discusses Frontera Supercomputer with NSF’s Manish Parashar appeared first on HPCwire.


          $1 Million NSF Grant to Give UVM's Supercomputer a Warp-Speed Upgrade      Cache   Translate Page      
The University of Vermont’s supercomputer is about to get faster. A lot faster.
          Fujifilm First in Japan to Adopt NVIDIA DGX-2 Supercomputer | NVIDIA Blog      Cache   Translate Page      
Nvidia GPUs are available in Cloud Bare Metal GPU.Contact us to find out our latest offers! FUJIFILM Corporation is the first company in Japan to adopt the NVIDIA DGX-2 AI supercomputer, which it will use to accelerate the development of AI technology for fields such as healthcare and medical imaging Continue Reading


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