| Index | Recent Threads | Unanswered Threads | Who's Active | Guidelines | Search |
 |
World Community Grid Forums
Category: Support
Forum: BOINC Agent Support
Thread: BOINC 6.4.5 |
| No member browsing this thread |
|
Thread Status: Active Total posts in this thread: 10
|
|
| Author |
|
|
Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
As some of you may have noticed, Berkeley have made BOINC 6.4.5 their recommended release.
However, there is no reason for any World Community Grid cruncher to use it. None. In addition, there are several reasons why you shouldn't use it. There were some late changes to the CPU scheduler which caused major problems in testing, and may still be unresolved. Why this release, then? Well, it was to add GPU support. All other features and bug fixes targeted for BOINC 6.4 were postponed. Since World Community Grid do not yet have a GPU-enabled project, there is simply no reason to use it. Note: other new features and enhancements present in the 6.3 alpha were removed for 6.4. The recommended World Community Grid version is 6.2.28. We still support 5.8.16 and 5.10.45 |
||
|
|
Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
Is there a GPU version of WCG planned for the future?
 |
||
|
|
Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
Of course. The next major BOINC version that WCG adopts will contain GPU features, and hopefully they will be stable and field-tested by then.
|
||
|
|
Dataman
Ace Cruncher Joined: Nov 16, 2004 Post Count: 4865 Status: Offline Project Badges: 
|
Grid do not yet have a GPU-enabled project, there is simply no reason to use it. Sure there is Didy, you company man ... GPU crunching.  Though I'm sure you will say it is hype as usual.  WCG needs to step up to the plate.  Just out today ... "NVIDIA CUDA Technology Dramatically Advances The Pace Of Scientific Research Distributed Computing Applications use NVIDIA GPUs for Biomedical Research, Space Exploration and Searching for Extra Terrestrial Intelligence For further information, contact: Brian Burke NVIDIA Corporation (512) 401-4385 bburke@nvidia.com Using NVIDIA CUDA Technology, a GeForce GTX 280 GPU runs SETI@home nearly 10 times faster than an AMD Phenom 9950 multi-core consumer CPU. “NVIDIA CUDA technology opens up processing power for scientific research that was previously unavailable and impossible for researchers to afford.” Dr. David Anderson, Research Scientist U.C. Berkeley Space Sciences Laboratory and founder of BOINC "Running GPUGRID on NVIDIA GPUs innovates volunteer computing by delivering supercomputing class applications on a cost effective infrastructure which will greatly impact the way biomedical research is performed." Dr. Gianni De Fabritiis, researcher at the Research Unit on Biomedical Informatics at the Municipal Institute of Medical Research and Pompeu Fabra University in Barcelona FOR IMMEDIATE RELEASE: SANTA CLARA, CA—December 17, 2008— Once thought of as a technology used only for computer games, NVIDIA® GeForce® graphics processing units (GPUs) with CUDA™ technology are now being used for the serious business of scientific computation. Berkeley’s Open Infrastructure for Network Computing (BOINC), one of the leading distributed computing platforms in the world, is using CUDA technology to tap the massively parallel processing power of NVIDIA GPUs with astounding results that could change the pace of scientific discovery through projects like GPUGRID and Einstein@home. The latest breakthrough came with the release of an optimized client that will allow SETI@home to analyze SETI (Search for Extraterrestrial Intelligence) data in about one-tenth of the time it previously took using CPUsi. “NVIDIA CUDA technology opens up processing power for scientific research that was previously unavailable and impossible for researchers to afford,” said Dr. David Anderson, Research Scientist U.C. Berkeley Space Sciences Laboratory and founder of BOINC. “CUDA technology makes it easy for scientists and researchers to optimize BOINC projects for NVIDIA GPUs and they are already using it for applications in molecular dynamics, protein structure prediction, climate and weather modeling, medical imaging, and many other areas.” BOINC is a unique approach to supercomputing in which multiple consumer computers are joined together over the Internet and their combined computing power is used to tackle very large computational tasks. BOINC provides the distributed computing grid layer for a wide variety of scientific projects that work to help cure diseases, study global warming, discover pulsars, and do many other types of scientific research on home PCs. SETI@Home Researchers in the scientific field of SETI received a massive increase in computing power today, when NVIDIA and BOINC released an optimized client that will allow SETI@home to be accelerated on GeForce GPUs. SETI@home, the largest BOINC project with nearly 200,000 active users, searches for extra terrestrial intelligence by using radio telescopes to listen for narrow-bandwidth radio signals from space. The performance of a GeForce GTX 280 GPU running SETI@ is nearly 2 times faster than the fastest consumer multicore CPU (3.2GHz Intel Core i7 965) and almost 10 times faster than an average dual core consumer CPU (2.66 GHz AMD Phenom 9950)ii. GPUGRID GPUGRID, the first BOINC project to use NVIDIA GeForce GPUs with CUDA technology for computing, utilizes NVIDIA-based graphics cards in participating PCs to compute high-performance biomolecular simulations for scientific research. Adding support for NVIDIA GPUs resulted in 1000 active GPUs delivering the same amount of computing power as 20,000 CPUs in similar projects, delivering an average speed-up of 20 times. "The molecular simulations performed by our volunteer computing project are some of the most common types performed by scientists, but they are also some of the most computationally demanding and usually require a supercomputer," stated Dr. Gianni De Fabritiis, researcher at the Research Unit on Biomedical Informatics at the Municipal Institute of Medical Research and Pompeu Fabra University in Barcelona. "Running GPUGRID on NVIDIA GPUs innovates volunteer computing by delivering supercomputing class applications on a cost effective infrastructure which will greatly impact the way biomedical research is performed." Einstein@Home NVIDA CUDA technology will soon be powering the third most widely used BOINC project, Einstein@Home, which uses distributing computing to search for spinning neutron stars (also called pulsars) using data from gravitational wave detectors. “We expect that porting Einstein@Home to GPUs will increase the throughput of our computing by an order of magnitude,” said Bruce Allen, director of the Max Plank Institute for Gravitational Physics and Einstein@Home Leader for the LIGO Scientific Collaboration. “This would permit deeper and more sensitive searches for continuous-wave sources of gravitational waves.” “Parallel processing is the key to enabling visual computing, whether in the home, office or research lab, and the CUDA-accelerated GPU is the leading engine behind this trend. Distributed computing is an ideal application for parallel processing, so it’s no surprise that these amazing applications are taking advantage of the GPU’s unprecedented computational power” said Michael Steele, General Manager of Visual Consumer Solutions at NVIDIA. “NVIDIA GPUs are transforming the way we work, play, live and discover.” To download the NVIDIA SETI@home client visit http://setiathome.berkeley.edu/cuda.php. For more information on BOINC visit http://boinc.berkeley.edu/. For more information on the Einstein@Home visit http://einstein.phys.uwm.edu. For more information on GPUGRID visit http://www.gpugrid.net/. About NVIDIA NVIDIA (Nasdaq: NVDA) is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce graphics products, the professional design and visualization market with its Quadro graphics products, and the high-performance computing market with its Tesla™ computing solutions products. NVIDIA is headquartered in Santa Clara, Calif. and has offices throughout Asia, Europe, and the Americas. For more information, visit www.nvidia.com." The crunching world just got bigger folks.  Crunch on .......  |
|||
|
||||
|
Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
For the real low-down about the secret evil perpetrated by Nvidia, read the alarming warning from Charlie Demerjian at http://www.theinquirer.net/inquirer/news/052/...s-show-underfill-problems
 Merry Christmas and Happy New Year! Lawrence |
||
|
|
Dataman
Ace Cruncher Joined: Nov 16, 2004 Post Count: 4865 Status: Offline Project Badges:
|
Merry Christmas and Happy New Year! Lawrence They want to sell product in an under peforming market.  Happy Holidays to you to Lawrence and thanks for all you have done. |
||
|
|
Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
Hi, Dataman. You seem to have missed my point, which had nothing to do with whether GPUs are good or not*.
My point is this. We don't have a GPU project yet. So anyone crunching exclusively for World Community Grid has no need to risk using BOINC 6.4.5. * Obviously, they have advantages. Less obviously, they have disadvantages, too - those get talked about less. |
||
|
|
Dataman
Ace Cruncher Joined: Nov 16, 2004 Post Count: 4865 Status: Offline Project Badges:
|
Hi, Dataman. You seem to have missed my point, which had nothing to do with whether GPUs are good or not*. My point is this. We don't have a GPU project yet. So anyone crunching exclusively for World Community Grid has no need to risk using BOINC 6.4.5. * Obviously, they have advantages. Less obviously, they have disadvantages, too - those get talked about less. Yep, not for the faint of heart. 6.4.5 has major problems, not affecting crunching, but other aspects of BOINC workings. And then there are drivers that change every other day and BOINC changes in the intervening days.  On the bleeding edge. Happy Holidays to you and yours. |
||
|
|
nasher
Veteran Cruncher USA Joined: Dec 2, 2005 Post Count: 1423 Status: Offline Project Badges: 
|
personaly i normaly remain with older versions of BOINC untill they start to get outdated or some new thing gets added that i need or i am forced to upgrade
----------------------------------------sorry i dont think im gona upgrade right now on that.. gona stay with the slightly older but stable versions  |
||
|
|
Dataman
Ace Cruncher Joined: Nov 16, 2004 Post Count: 4865 Status: Offline Project Badges:
|
Checking some other news releases ... looks like nVidia is making a run. Could it be @ IBM in a narrow slice of the market?
---------------------------------------- Shades of DOS. I may some equities tomorrow. |
||
|
|
|