DV Hardware - bringing you the hottest news about processors, graphics cards, Intel, AMD, NVIDIA, hardware and technology!

   Home | News submit | News Archives | Reviews | Articles | Howto's | Advertise
 
DarkVision Hardware - Daily tech news
October 19, 2017 
Main Menu
Home
Info
News archives
Articles
Howto
Reviews
 

Who's Online
There are currently 98 people online.

 

Latest Reviews
Jaybird Freedom 2 wireless sport headphones
Ewin Racing Champion gaming chair
Zowie P-TF Rough mousepad
Zowie FK mouse
BitFenix Ronin case
Ozone Rage ST headset
Lamptron FC-10 SE fan controller
ZOWIE G-TF Rough mousepad
 

Follow us
RSS
 

NVIDIA Tesla K20 Hyper-Q to significantly boost HPC performance

Posted on Saturday, August 25 2012 @ 22:18:20 CEST by


NVIDIA reveals some details about Hyper-Q, a new feature of the company's upcoming GK110-based Tesla K20 computing accelerator. This new technology helps increase performance for thousands of legacy MPI applications without requiring a major code rewrite, by providing 32 work queues between the host and the GPU, enabling multiple MPI processes to run concurrently on the GPU, thereby maximizing GPU utilization and boosting overall performance.



The company presents CP2K as an example, in this atomic and molecular simulation the use of Hyper-Q leads to a 2.5x speedup without extra coding effort.
This small data set of 864 water molecules is usually problematic for GPUs. Without Hyper-Q, only one MPI process runs on each node with GPUs, and the performance curve from 1 to 16 nodes is not much better than with CPU-only simulations.

With Hyper-Q, it is now possible to use the same number of MPI processes per node as in the CPU-only case, which means 16 MPI processes per GPU in this instance. This unlocks the full benefit of the GPU, leading to a speedup of 2.5x with Hyper-Q enabled.

And the best part? No extra coding effort is necessary to enable Hyper-Q. All it takes is a Tesla K20 GPU with a CUDA 5 installation and setting an environment variable to let multiple MPI ranks share the GPU – Hyper-Q is then ready to use.


NVIDIA says the Tesla K20 will be available by the end of the year.



 



 

DV Hardware - Privacy statement
All logos and trademarks are property of their respective owner.
The comments are property of their posters, all the rest © 2002-2017 DM Media Group bvba