When AMD launched its Fiji-based graphics cards, all eyes were focused on its performance in consumer applications such as computer games. And while the first results forced Nvidia to launch “Titan Lite” in the form of GeForce GTX 980 Ti, DirectX 12 benchmarks are starting to show different, brighter outlook for AMD, starting with Ashes of the Singularity. The focus of this article however, is its potential and usage in applications where Fiji GPU will be branded as Fire Pro, and Fire Pro S (Server) – where AMD can take an ASIC and upsell it to commercial clients, with full-speed enabled for Double Precision floating point
Couple of years ago, the world of mobile apps was shocked with the appearance of World Lens app, which detected words on live cameras. Even though the mobile phones at the time had quite limited camera capabilities, what World Lens showed to us was the future of translation. Naturally, revolutionary apps like that do not just disappear as Google proved by acquiring the app maker, Quest Visual. Given that World Lens for Google Glass was one of most impressive things I’ve personally used on Google’s first attempt at Augmented Reality, as you can see on video below: Now, over a year passed since the acquisition of
As we are approaching Computex and the majority of press and media analysts are in the plane en route Taipei, companies such as Intel, Nvidia and AMD are polishing their press releases for the first day of the show. One such product is GeForce GTX 980 Ti, a product refresh which does not have a lot to do with ‘refresh’. While the original GTX 980 was based of GM204 GPU, featuring 2048 CUDA cores attached to 4 or 8GB of GDDR5 memory. As you might have guessed, the chip was using 256-bit memory bus. When you combine GPU clock of 1.12 GHz and GDDR5 clock
While Intel may have lost some serious income from being virtually shut out of Intel’s HPC market, the US government has recently handed the company two impressive supercomputer wins.
Just as Intel’s (NASDAQ: INTC) CEO Brian Krzanich opens the regular staff meetings before a dramatically reduced IDF2015 Shenzhen conference, it is a good time to review how government and enterprises don’t see eye to eye when it comes to strategic business. Remember the Tianhe-2 machine at Guangzhou Supercomputer Center, the current World’s number one according to Top 500 Supercomputer list? Unlike some other China supercomputers – Tianhe-2 is fully Intel based machine, the world’s largest assembly of Intel Xeon CPUs and Xeon Phi accelerators. Even after Intel ‘opened the kimono’ and gave a nearly 70% discount on its processors and accelerators, it has given Intel, and therefore
As GPUs get more powerful, a better solution to bridge the connectivity gap with the CPU is needed. Might AMD have the solution?
Qualcomm has been fairly quiet about their high-end ambitions after what is expected to follow the soon-to-launch Snapdragon 805 chipset. The Snapdragon 805 is Qualcomm’s chip that will likely ship in devices next quarter and is marketed by Qualcomm as their 4K chip with the Adreno 420 GPU. Now, even though the Snapdragon 805 (APQ8084) is a very powerful chip, it lacks 64-bit capability and doesn’t have an integrated modem, requiring a separate modem like Qualcomm’s 20nm MDM9x35 to enable cellular capability. It also sports an improved Krait CPU with a Krait 450 CPU compared to the Snapdragon 801 and 800’s Krait 400. However, it
It looks like OpenCL is getting ready for prime time. A reader from across the English Channel contacted us with a link to Youtube video that showcases OpenCL being processed on a GPU. If I recall correctly, a while ago AMD claimed world’s first OpenCL demo, but it was done on a single core (and then scaled up to all four) on a Phenom II X4 CPU. If this video is correct, Nvidia gets the pole position for being the first company to demonstrate OpenCL working on a GPU, which is “usage as intended”. Judging from the video, Nvidia showed Nbody simulation changing following parameters:
When Nvidia launched GT200 chip, the company claimed around 1TFLOPS of Single-Precision computing power, and roughly 150 GFLOPS of Dual-Precision performance. This discrepancy was mostly due to the fact that Nvidia went with dedicated hardware for the DP support. Every eight-shader cluster had one dedicated dual-precision unit, costing millions of additional transistors and resulted in doubtful performance. Fast forward to January 2009, and we have SP performance at 933 GFLOPS, while achievable DP performance dipped down to 78 GFLOPS. This figure is roughly half of what Nvidia boasted about at the time of launch, and sheer evidence that both manufacturers like to overstate the performance
Expanding on its role as CUDA Center of Excellence, University of Illinois in Urbana-Champaign is launching a 13-week seminar with focus on parallel computing. Well, GPU Computing, that is. Parallel@Illinois is the name for the whole project of GPU Computing, and this seminar was organized by prof. Sanjaj J. Patel and Wen-mei Hwu. Under a not-so-scientific moniker Need For Speed Seminar Series, this 13-week course will feature domestic alumni such as Mark Hasegawa-Johnson, Dan Roth, Narendra Ahuja, Stephen Boppart, John C. Hart, Tom Huang and Seth Hutchinson, and guests such as Keith Thulborn (UI Chicago), Sam Blackman (Elemental), Nikola Bozinovic (MotionDSP), Mark Johns (Tapulous) and
Use your GPU to crack a WLAN password…ultimate GPU Computing application is here…
With Khronos group officially launching the OpenCL 1.0 specification, GPGPU computing is now officially covered with a open-source, royalty-free cross-platform API that enables parallel programming on the GPUs, regardless from whom they’re coming from.
Catalyst 8.12 drivers are set to debut next week, and as you probably know, this is no ordinary update. AMD GPG is bringing its STREAM middleware platform and updated libraries to every user of their GPGPU-enabled products (R520 “Fudo” chip aka Radeon 1800 and newer). As a part of AMD STREAM, ATI will release its own video transcoder for free. Given the limitations and performance that Badaboom has, I wonder did ATI decided to do something more in “formats supported” area. 😉 On the Folding@Home front, there are great expectations from this upcoming driver, especially if you own Radeon 4800 series product. ATI worked hard
Friends from Bjorn3D got the opportunity to interview Michael Steele, General Manager of Nvidia’s Visual Consumer Solutions group. Short explanation of Michael’s role would be Nvidia’s head for all-not-gaming-related things. The interview was focusing on Bjorn3D’s noteworthy Folding@Home effort (the team is on track to crack into Top100), thus Michael gave some interesting thoughts, such as this one. There are a lot of very good guides out there that will walk users through the required steps to fold with multiple GPUs like the ones on HardOCP or overclockers.co.uk, just not in SLI mode yet. NVIDIA SLI is a great extension to parallel processing and we’re
Today is the first day of SuperComputing 08 conference held in Austin, Texas. A lot of companies are bringing out the big guns for that one, and one of the companies that could have the largest one is Nvidia and its partners. Regardless of what you may think of CUDA, this API really took off in scientific community. Young enthusiasts started to build personal supercomputers, and Nvidia CUDA guys got the idea of creating a personal supercomputer when they saw FASTRA project from University of Antwerp. FASTRA is being used for computational topography, but many other universities are doing exactly the same. Fast forward to
If you’re wondering what is next week’s outlook for tech news, brace yourselves for impact. During the past three weeks, I was briefed by several companies and everybody is gearing up for SC08 (SuperComputing) conference in Austin, Texas. There will be a lot of announcements coming from AMD, Nvidia and Intel, but more importantly, Khronos group will show OpenCL (Open Computing Language) to the general audience. Many people view OpenCL as an API that will make the very same impact on consumer and professional applications that DirectX made in the world of games. If you’re in Austin, you can head over to Rio Grande Mexican
When you are designing a workstation product, you’re not designing what your engineers want, but rather what the customer will buy. Workstation market is much more conservative than consumer one, and a lot of design changes have to be made in order to accomodate this, still much smaller market. Currently, the biggest headache in the workstation world is 32-bit and 64-bit operating systems. While the FX community already went for 64-bit operating system, a lot of organizations are resisting to change and remain in the 32-bit world with its applications and broad compatibility. This was a big challenge for both ATI and Nvidia, who went
Following the article about Top graphics cards for Folding@Home, it seems that I managed to get some doors opened and receive answers from the people closely involved with the project. I had that luck of being contacted by people who were or still are involved with the project, and thus their answers were quite interesting. Names will remain unrevealed, of course.;-) In order to keep the clarity of the article, I’ve dumbed down some items that came up in discussions – I will try to keep it both technical and simple. Impossible task, I know. Onto the matter then – the reason for ATI’s problems
Back on the INQ, I wrote about dangers lying ahead for AGEIA, Creative Labs and Bigfoot Networks, representatives of these respected companies just told me that their business model is solid and that they are indeed, future-proof. Well, that turned out nicely – AGEIA never took off because of $250 charge for a PCI card, Creative now exists almost solely on patent charges and selling off its own property, while Bigfoot networks made the greatest network card on the planet – and failed to pack it up in an attractive and future-proof package. The reason for this rant is a story on Xfastest.com, introducing ASUS
As you might already know, I am a bit enthusiastic when it comes to distributed computing. I’ve been looking for aliens through SETI@home, later with BOINC… but then, Folding@Home showed up and I became an enthusiast for this valuable project from Stanford University. My family had some share of dealings with Alzheimer’s (aka AD) and Parkinson’s diseases (aka PD) and I won’t go here into what psychological and ultimately financial stress that families around the world, including my own – have to endure. Folding@Home is also a project that pioneered the use of GPUs for distributed computing (if I am wrong on this one, feel