750ti still a contender?

Chris S
Chris S
Joined: 27 Aug 05
Posts: 2469
Credit: 19550265
RAC: 0

Distributed computing

Distributed computing records

Distributed computing uses the Internet to link personal computers to achieve more FLOPS:

  • As of October 2016, the Folding@home network has over 100 petaFLOPS of total computing power.It was the first computing project of any kind to cross the 1, 2, 3, 4, and 5 native petaFLOPS milestones. This level of performance is primarily enabled by the cumulative effort of a vast array of powerful GPU and CPU units.

  • As of July 2014, the entire BOINC network averages about 5.6 petaFLOPS.
  • As of July 2014, SETI@Home, employing the BOINC software platform, averages 681 teraFLOPS.
  • As of July 2014, Einstein@Home, a project using the BOINC network, is crunching at 492 teraFLOPS.
  • As of July 2014, MilkyWay@Home, using the BOINC infrastructure, computes at 471 teraFLOPS.
  • As of January 2017, GIMPS, is searching for Mersenne primes and sustaining 300 teraFLOPS.

Future developments

In 2008, James Bamford's book The Shadow Factory reported that NSA told the Pentagon it would need an exaflop computer by 2018.

Given the current speed of progress, supercomputers are projected to reach 1 exaFLOPS (EFLOPS) in 2018. Cray, Inc. announced in December 2009 a plan to build a 1 EFLOPS supercomputer before 2020. Erik P. DeBenedictis of Sandia National Laboratories theorizes that a zettaFLOPS (ZFLOPS) computer is required to accomplish full weather modeling of two week time span. Such systems might be built around 2030.

Waiting for Godot & salvation :-)

Why do doctors have to practice?
You'd think they'd have got it right by now

Carlos
Carlos
Joined: 25 Aug 05
Posts: 37
Credit: 77455234
RAC: 55425

Carlos Yanez wrote:Don't try

Carlos Yanez wrote:
Don't try Windows 10 Creators update.  It killed my RAC. I revered my OS. 

 

Before and after.  Any ideas what might have changed?

archae86
archae86
Joined: 6 Dec 05
Posts: 3145
Credit: 7024904931
RAC: 1811824

Carlos Yanez wrote:Carlos

Carlos Yanez wrote:
Carlos Yanez wrote:
Don't try Windows 10 Creators update. <snip>

 Any ideas what might have changed?

If you take a look at threads on the Einstein forums, you'll find multiple references to that update installing an Nvidia driver which does not support the current Einstein GPU work.  Most of us fix it by downloading and installing the most recent driver from Nvidia, not by backing out the OS update entirely.

Betreger
Betreger
Joined: 25 Feb 05
Posts: 987
Credit: 1421923555
RAC: 771542

I have a similar RAC profile,

I have a similar RAC profile, when it went down my pendings went way up, now the pendings have stabilized or gone down a bit and the RAC is going up a bit. For the lack of anything else to blame I think the Seti WOW event has caused a some Einstein people to switch over to that project.

Carlos
Carlos
Joined: 25 Aug 05
Posts: 37
Credit: 77455234
RAC: 55425

Trying the new driver and see

Trying the new driver and see if that help. Going from 376.53 to 381.65

Betreger
Betreger
Joined: 25 Feb 05
Posts: 987
Credit: 1421923555
RAC: 771542

Nah, methinks that won't

Nah, methinks that won't help, check your pendings. It's collateral damage from the WOW event IMO.

Carlos
Carlos
Joined: 25 Aug 05
Posts: 37
Credit: 77455234
RAC: 55425

Looks like I only  have 21

Looks like I only  have 21 pending.  

tullio
tullio
Joined: 22 Jan 05
Posts: 2118
Credit: 61407735
RAC: 0

On my SUN  WS with Opteron

On my SUN  WS with Opteron 1210, working 24/7 since January 2008, I have installed a GTX 750 Ti. If I run Einstein@home tasks, only one CPU task and one GPU task run together on the 2 cores of the Opteron. But if I run SETI@home tasks, I can run 2 CPU tasks and one GPU task. It looks like Einstein GPU tasks use more CPU than SETI tasks. The driver, provided by SuSE, is 384.59.

Tullio

Zalster
Zalster
Joined: 26 Nov 13
Posts: 3117
Credit: 4050672230
RAC: 0

Seti GPU apps have been

Seti GPU apps have been refined for more than a year down to the point where they use less CPU. That and you can tailor your GPUs with commandlines to get the most efficient use out of them.  Einstein apps are as is...

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