Podcast #227 - Golden Z77 Motherboard from ECS, High Powered WiFi from Amped Wireless, Supercomputing GPUs and more!
Subject: General Tech | November 15, 2012 - 07:10 PM | Ken Addison
Tagged: titan, thor, tesla, s1000, podcast, nvidia, k20x, Intel, golden board, firepro, ECS, dust, Amped Wireless, amd
PC Perspective Podcast #227 - 11/15/2012
Join us this week as we talk about a Golden Z77 Motherboard from ECS, High Powered WiFi from Amped Wireless, Supercomputing GPUs and more!
The URL for the podcast is: http://pcper.com/podcast - Share with your friends!
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Hosts: Ryan Shrout, Jeremy Hellstrom, Josh Walrath, and Allyn Malventano
Program length: 1:07:04
Podcast topics of discussion:
- Join us for the Hitman: Absolution Game Stream
- Week in Reviews:
- 0:18:00 This Podcast is brought to you by MSI!
News items of interest:
- 0:19:00 A renaissance of game types that have been sadly missing
- 0:24:00 You missed our live Medal of Honor Game Stream - loser!
- 0:26:12 NVIDIA launches Tesla K20X Card, Powers Titan Supercomputer
- 0:30:15 AMD Launches Dual Tahiti FirePro S10000
- 0:38:00 Some guy leaves Microsoft - is the Start Menu on its way back??
- 0:41:40 AMD is apparently not for sale
- 0:46:05 ECS joins the Thunderbolt family with a new Z77 motherboard
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Subject: General Tech | November 12, 2012 - 11:29 AM | Tim Verry
Tagged: tesla, supercomputer, nvidia, k20x, HPC, CUDA, computing
Graphics card manufacturer NVIDIA launched a new Tesla K20X accelerator card today that supplants the existing K20 as the top of the line model. The new card cranks up the double and single precision floating point performance, beefs up the memory capacity and bandwidth, and brings some efficiency improvements to the supercomputer space.
While it is not yet clear how many CUDA cores the K20X has, NVIDIA has stated that it is using the GK110 GPU, and is running with 6GB of memory with 250 GB/s of bandwidth – a nice improvement over the K20’s 5GB at 208 GB/s. Both the new K20X and K20 accelerator cards are based on the company’s Kepler architecture, but NVIDIA has managed to wring out more performance from the K20X. The K20 is rated at 1.17 TFlops peak double precision and 3.52 TFlops peak single precision while the K20X is rated at 1.31 TFlops and 3.95 TFlops.
The K20X manages to score 1.22 TFlops in DGEmm, which puts it at almost three times faster than the previous generation Tesla M2090 accelerator based on the Fermi architecture.
Aside from pure performance, NVIDIA is also touting efficiency gains with the new K20X accelerator card. When two K20X cards are paired with a 2P Sandy Bridge server, NVIDIA claims to achieve 76% efficiency versus 61% efficiency with a 2P Sandy Bridge server equipped with two previous generation M2090 accelerator cards. Additionally, NVIDIA claims to have enabled the Titan supercomputer to reach the #1 spot on the top 500 green supercomputers thanks to its new cards with a rating of 2,120.16 MFLOPS/W (million floating point operations per second per watt).
NVIDIA claims to have already shipped 30 PFLOPS worth of GPU accelerated computing power. Interestingly, most of that computing power is housed in the recently unveiled Titan supercomputer. This supercomputer contains 18,688 Tesla K20X (Kepler GK110) GPUs and 299,008 16-core AMD Opteron 6274 processors. It will consume 9 megawatts of power and is rated at a peak of 27 Petaflops and 17.59 Petaflops during a sustained Linpack benchmark. Further, when compared to Sandy Bridge processors, the K20 series offers up between 8.2 and 18.1 times more performance at several scientific applications.
While the Tesla cards undoubtedly use more power than CPUs, you need far fewer numbers of accelerator cards than processors to hit the same performance numbers. That is where NVIDIA is getting its power efficiency numbers from.
NVIDIA is aiming the accelerator cards at researchers and businesses doing 3D graphics, visual effects, high performance computing, climate modeling, molecular dynamics, earth science, simulations, fluid dynamics, and other such computationally intensive tasks. Using CUDA and the parrallel nature of the GPU, the Tesla cards can acheive performance much higher than a CPU-only system can. NVIDIA has also engineered software to better parrellelize workloads and keep the GPU accelerators fed with data that the company calls Hyper-Q and Dynamic Parallelism respectively.
It is interesting to see NVIDIA bring out a new flagship, especially another GK110 card. Systems using the K20 and the new K20X are available now with cards shipping this week and general availability later this month.
You can find the full press release below and a look at the GK110 GPU in our preview.
Anandtech also managed to get a look inside the Titan supercomputer at Oak Ridge National Labratory, where you can see the Tesla K20X cards in action.