is powered by ARM® big.LITTLE™ technology, the Heterogeneous Multi-Processing (HMP) solution.
ODROID-XU4 is a new generation of computing device with more powerful, more energy-efficient hardware and a smaller form factor.
Offering open source support, the board can run various flavors of Linux, including the latest Ubuntu 15.04 and Android 4.4 KitKat and 5.0 Lollipop.
By implementing the eMMC 5.0, USB 3.0 and Gigabit Ethernet interfaces, the ODROID-XU4 boasts amazing data transfer speeds, a feature that is increasingly required to support advanced processing power on ARM devices.
This allows users to truly experience an upgrade in computing, especially with faster booting, web browsing, networking, and 3D games.
The XU4 is fully software compatible with XU3!
However, the XU4 is more compact, more affordable and more expandable.
* Samsung Exynos5422 Cortex™-A15 2Ghz and Cortex™-A7 Octa core CPUs
* Mali-T628 MP6(OpenGL ES 3.0/2.0/1.1 and OpenCL 1.1 Full profile)
* 2Gbyte LPDDR3 RAM PoP stacked
* eMMC5.0 HS400 Flash Storage
* 2 x USB 3.0 Host, 1 x USB 2.0 Host
* Gigabit Ethernet port
* HDMI 1.4a for display
* Size : 82 x 58 x 22 mm approx.(including cooling fan)
Intel® Xeon Phi™ Coprocessors
What is the Intel® Xeon Phi™ coprocessor?
Intel® Xeon Phi™ coprocessors are PCI Express* form factor add-in cards that work synergistically with Intel® Xeon® processors to enable dramatic performance gains for highly parallel code—up to 1.2 double-precision teraFLOPS (floating point operations per second) per coprocessor.
Manufactured using Intel’s industry-leading 22nm technology with 3-D Tri-Gate transistors, each coprocessor features more cores, more threads, and wider vector execution units than an Intel Xeon processor. The high degree of parallelism compensates for the lower speed of each core to deliver higher aggregate performance for highly parallel workloads.
What applications can benefit from the Intel Xeon Phi coprocessor?
While a majority of applications (80 to 90 percent) will continue to achieve maximum performance on Intel Xeon processors, certain highly parallel applications will benefit dramatically by using Intel Xeon Phi coprocessors. To take full advantage of Intel Xeon Phi coprocessors, an application must scale well to over 100 software threads and either make extensive use of vectors or efficiently use more local memory bandwidth than is available on an Intel Xeon processor. Examples of segments with highly parallel applications include: animation, energy, finance, life sciences, manufacturing, medical, public sector, weather, and more. Learn more about Intel® Many Integrated Core Architecture (Intel® MIC Architecture) development.
Stop Misquoting Donald Knuth!
I am tired of slow load times. The ratio of bytes loaded to load time should be very close to the I/O throughput of the machine. If it is not, somebody is wasting my time. I am tired of programs not stopping immediately, the instant I click the little X, because somebody is traversing a large reference graph and doing lots of itty-bitty deletes. I am tired of seeing progress bars and splash screens.
As a developer, I am tired of my IDE slowing to a crawl when I try to compile multiple projects at a time.
As a citizen of planet Earth, I am tired of all the electricity that gets wasted by organizations who throw hardware at software problems, when a more efficient implementation might allow them to consume much, much less, and spend less money powering it all.
medium.com: Why Does United Airlines Still Exist?
I was downgraded from first class because some marketing genius at United decided to add a new upsell feature to the website – but no one bothered to extend the legacy system they use behind the scenes to capture the new data from the ticket sales process. (This is a common problem with enterprise software these days: companies build new features in their websites but can’t integrate those features properly with their core processing systems.) All of this just reinforces a point I’ve made several times before: the computer systems holding together the world’s largest companies are held together by duct tape and string.
Text::Scigen – Generate convincing-looking scientific articles
mit.edu: SCIgen – An Automatic CS Paper Generator
SCIgen is a program that generates random Computer Science research papers, including graphs, figures, and citations. It uses a hand-written context-free grammar to form all elements of the papers. Our aim here is to maximize amusement, rather than coherence. One useful purpose for such a program is to auto-generate submissions to conferences that you suspect might have very low submission standards. A prime example, which you may recognize from spam in your inbox, is SCI/IIIS and its dozens of co-located conferences (check out the very broad conference description on the WMSCI 2005 website). There’s also a list of known bogus conferences. Using SCIgen to generate submissions for conferences like this gives us pleasure to no end. In fact, one of our papers was accepted to SCI 2005! See Examples for more details.