Friday, April 1st 2016

AMD FirePro S9300 x2 Server GPU Helps Create Largest Map of the Universe

AMD today announced that researchers at the Canadian Hydrogen Intensity Mapping Experiment (CHIME) will harness the AMD FirePro S9300 x2 Server GPU, the world's fastest single-precision GPU accelerator, to analyze extraordinary amounts of data to help create a new, very detailed 3D map of the largest volume of the Universe ever observed. Rather than using traditional dish-shaped telescopes, CHIME consists of four 100-metre-long cylindrical reflectors which cover an area larger than five professional hockey rinks and gathers signals for the critical computational analyses supplied by the AMD FirePro S9300 x2 GPU cluster.

The CHIME project was created to investigate the discovery that the expansion of the Universe is speeding up rather than slowing down. Using consumer technologies similar to those found in common radio receivers, the telescope collects radio waves that have travelled through space for up to 11 billion years and feeds them into a massive supercomputer powered by a series of AMD FirePro S9300 x2 GPUs. The intense number crunching required to map the Universe's expansion in this way was previously cost-prohibitive, but is now being enabled by AMD FirePro GPUs. The anticipated results will help create a highly-detailed map showing the intensity of the hydrogen radiation from billions of galaxies, which will help scientists understand the accelerating expansion of the Universe.
Based on the third generation AMD Graphics Core Next (GCN) architecture, the AMD FirePro S9300 x2 Server GPU delivers up to 13.9 TFLOPS of peak single-precision floating point performance -- greater than any other professional dual GPU accelerator available on the market today for single-precision compute1. It is the first GPU for data center use equipped with High Bandwidth Memory (HBM). The 1TB/s memory bandwidth enabled by HBM on the AMD FirePro S9300 x2 GPU is 3.5X the memory bandwidth of the closest competitive solution2 while providing over 15X the memory bandwidth and 12X the peak single-precision performance of competing CPU solutions, making it a compelling addition to traditional x86 platforms.

"We're proud to participate with the CHIME project in this cosmic opportunity to map the evolution of the Universe. The applications of instinctive computing are expanding rapidly as seen in this fascinating CHIME project, through the use of powerful graphics compute capabilities," said Greg Stoner, senior director of Radeon Open Compute, Radeon Technology Group, AMD. "Not only is the new AMD FirePro S9300 x2 Server GPU the world's fastest single-precision GPU accelerator, it is also the world's first professional GPU accelerator to be equipped with High Bandwidth Memory and the first to fully support the Radeon Open Compute platform -- an integral element of the GPUOpen compute initiative."

"CHIME faces an extraordinary computing task, but with the onset of previously unavailable technology and tools such as the AMD FirePro S9300 x2 GPU, we now have the computational power, bandwidth, and efficiency to make this data analysis possible to study the impact of dark energy on our Universe," said Professor Keith Vanderlinde, of the Dunlap Institute for Astronomy & Astrophysics at the University of Toronto. "Our research is the result of the combined efforts of dedicated hardware, compute software and scientific research. We're very appreciative of the supporting efforts from AMD in this project."

To expose cutting-edge compute capabilities of the AMD FirePro S9300 x2 GPU and support unique opportunities such as the CHIME project, AMD developed the Radeon Open Compute platform (based on the Boltzmann initiative), a Linux-focused open source software parallel computing platform optimized for HPC and Ultra-scale computing. The Radeon Open Compute kernel provides direct access to the graphics hardware, offering programmers more control over the code execution. Discover more at GPUOpen.com for the Radeon Open Compute platform-optimized open source math libraries, benchmarks and applications from AMD and third-party partners.

The AMD FirePro S9300 x2 Server GPU is a compelling product combining an open source compiler, runtime and driver full access, massive compute performance, and processor density supporting tight power and financial budgets.
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15 Comments on AMD FirePro S9300 x2 Server GPU Helps Create Largest Map of the Universe

#1
prtskg
Good to see AMD firepro will be used in this supercomputer. Should help in its financial position.
Posted on Reply
#2
AsRock
TPU addict
Would have to see it in action to believe any thing that AMD says these day, other wise to me they just missed a load of * and a load of small print at the bottom.
Posted on Reply
#3
Easy Rhino
Linux Advocate
Can render the universe in 3D, but can it play Crysis??

Edit: Yes, yes I know this GPU is not meant for games. It is a joke people!!!!!!!!!!!!!!!!!!!!!!1
Posted on Reply
#4
Jermelescu
Easy RhinoCan render the universe in 3D, but can it play Crysis??

Edit: Yes, yes I know this GPU is not meant for games. It is a joke people!!!!!!!!!!!!!!!!!!!!!!1
Why the edit?
Posted on Reply
#5
Ninehell
This is not April fool right?
Posted on Reply
#6
FordGT90Concept
"I go fast!1!11!1!"
So is this the dual Fiji card?

8 GiB is a bummer.
Posted on Reply
#7
LTUGamer
NinehellThis is not April fool right?
New GPU for servers... That would be the nerdiest April fool ever
Posted on Reply
#8
prtskg
NinehellThis is not April fool right?
No, the article is copy paste from AMD's site. It's real.
Posted on Reply
#9
Ferrum Master
prtskgGood to see AMD firepro will be used in this supercomputer. Should help in its financial position.
Those are Canadians, it is naturally that they will use an exATI card :D
Posted on Reply
#10
PP Mguire
Ferrum MasterThose are Canadians, it is naturally that they will use an exATI card :D
I was thinking more along the lines of using hockey rinks to compare the size of their reflector array.
Posted on Reply
#11
prtskg
Ferrum MasterThose are Canadians, it is naturally that they will use an exATI card :D
Or may be they used it as it has highest single-precision floating point performance at a much lower cost than it's competitors.
Posted on Reply
#12
RejZoR
Maxwell has quite crappy single precision afaik. That's why they are pushing Pascal so much because it'll address that...
Posted on Reply
#13
PP Mguire
RejZoRMaxwell has quite crappy single precision afaik. That's why they are pushing Pascal so much because it'll address that...
Maxwell lacks in DP, not SP.
Posted on Reply
#14
Caring1
prtskgOr may be they used it as it has highest single-precision floating point performance at a much lower cost than it's competitors.
The blurb says 12X better than CPU solutions, they are comparing apples and oranges.
It has 13.9TFlops of S.P. compute and 870GFlops of D.P. compute.
Edit: The Tesla k80 has 2.91TFlops of D.P.
Posted on Reply
#15
prtskg
Caring1The blurb says 12X better than CPU solutions, they are comparing apples and oranges.
It has 13.9TFlops of S.P. compute and 870GFlops of D.P. compute.
Edit: The Tesla k80 has 2.91TFlops of D.P.
There is no reason to compare DP when it's not required in this project. Otherwise Hawaii based firepro would have been used. It's SP performance is unparalleled in that price range, making it best candidate for the project.
www.digitaltrends.com/computing/amd-firepro-s9300-x2-gpu/
Price is important here as they required around 1000 gpus.
www.nature.com/news/half-pipe-telescope-will-probe-dark-energy-in-teen-universe-1.18088
To sort out where individual signals are coming from, a custom-built supercomputer made of 1,000 relatively cheap graphics-processing units — the type used for high-end computer gaming — will crunch through nearly 1 terabyte of data per second. The team will also use signal amplifiers originally developed for mobile phones. Without such powerful consumer-electronics components, CHIME would have been prohibitively expensive, says experimental cosmologist Keith Vanderlinde of the University of Toronto, Canada, who is co-leading the project.
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