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Why medicine modelling is distributed on regular person's computers?
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There are some distributed computing project on the Internet that tries to find cure for diseases, like World Community Grid. Could anyone say why there are such things and how useful those are? I mean, I believe that if you are serious researcher, I think you are able to use university's networks or supercomputers to do modelling. So what is the idea about spread the modelling to regular computers? Does the medicine modelling require so much computer power that computers in universities have not enough computing power?
research
edited 2 hours ago
Chris Rogers
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layman
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up vote
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There are some distributed computing project on the Internet that tries to find cure for diseases, like World Community Grid. Could anyone say why there are such things and how useful those are? I mean, I believe that if you are serious researcher, I think you are able to use university's networks or supercomputers to do modelling. So what is the idea about spread the modelling to regular computers? Does the medicine modelling require so much computer power that computers in universities have not enough computing power?
research
edited 2 hours ago
Chris Rogers
2,906736
asked 2 hours ago
layman
61
New contributor
layman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |Â
up vote
1
down vote
favorite
up vote
1
down vote
favorite
There are some distributed computing project on the Internet that tries to find cure for diseases, like World Community Grid. Could anyone say why there are such things and how useful those are? I mean, I believe that if you are serious researcher, I think you are able to use university's networks or supercomputers to do modelling. So what is the idea about spread the modelling to regular computers? Does the medicine modelling require so much computer power that computers in universities have not enough computing power?
research
edited 2 hours ago
Chris Rogers
2,906736
asked 2 hours ago
layman
61
New contributor
layman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
There are some distributed computing project on the Internet that tries to find cure for diseases, like World Community Grid. Could anyone say why there are such things and how useful those are? I mean, I believe that if you are serious researcher, I think you are able to use university's networks or supercomputers to do modelling. So what is the idea about spread the modelling to regular computers? Does the medicine modelling require so much computer power that computers in universities have not enough computing power?
research
research
edited 2 hours ago
Chris Rogers
2,906736
asked 2 hours ago
layman
61
New contributor
layman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 hours ago
Chris Rogers
2,906736
asked 2 hours ago
layman
61
New contributor
layman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 hours ago
Chris Rogers
2,906736
edited 2 hours ago
Chris Rogers
2,906736
edited 2 hours ago
Chris Rogers
2,906736
2,906736
asked 2 hours ago
layman
61
New contributor
layman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 hours ago
layman
61
asked 2 hours ago
layman
61
61
New contributor
layman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
layman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
layman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |Â
add a comment |Â
1 Answer
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I don't know how readily available supercomputers are to researchers and universities but I would imagine that a big part of the answer to your question would be down to cost.
Supercomputers vs Distributed Computing Projects
Computer performance is measured in FLOPS (Floating Point Operations Per Second), and in June 2018, Summit, an IBM-built supercomputer now running at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL), captured the number one spot for the fastest computer performance at 122.3 petaFLOPS on the LINPACK benchmark where peta is 1015. When compared to the home PCs, the fastest possible home PC processor at a cost of $2,000 provides approx. 1 teraFLOPS where tera is 1012.
For distributed computing projects, let's look at Folding@home.
The project uses the idle processing resources of thousands of personal computers owned by volunteers who have installed the software on their systems. Its main purpose is to determine the mechanisms of protein folding, which is the process by which proteins reach their final three-dimensional structure, and to examine the causes of protein misfolding. This is of significant academic interest with major implications for medical research into Alzheimer's disease, Huntington's disease, and many forms of cancer, among other diseases. To a lesser extent, Folding@home also tries to predict a protein's final structureand determine how other molecules may interact with it, which has applications in drug design. Folding@home is developed and operated by the Pande Laboratory at Stanford University
[...]
Since its launch on October 1, 2000, the Pande Lab has produced 200 scientific research papers as a direct result of Folding@home [see https://foldingathome.org/papers-results]
Stats provided by Folding@home at https://stats.foldingathome.org/os state that their project provides a total performance of 47,344 Native teraFLOPS or 98,747 x86 teraFLOPS.
Note that these teraFLOPS values are from the software cores, not the peak values from CPU/GPU specs and these figures only just beat the performance of China's Sunway TaihuLight in 2016 which was ranked the world's fastest with 93 petaFLOPS on the LINPACK benchmark (now the 2nd fastest supercomputer).
Cost
IBMs Summit Supercomputer cost $200 million to build and according to Wikipedia, the Sunway TaihuLight cost $273 million. When you consider the computing performance provided by Folding@home is provided by volunteers (so the system is free), it is a no brainer that the computing power on offer should not be turned away.
answered 21 mins ago
Chris Rogers
2,906736
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
I don't know how readily available supercomputers are to researchers and universities but I would imagine that a big part of the answer to your question would be down to cost.
Supercomputers vs Distributed Computing Projects
Computer performance is measured in FLOPS (Floating Point Operations Per Second), and in June 2018, Summit, an IBM-built supercomputer now running at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL), captured the number one spot for the fastest computer performance at 122.3 petaFLOPS on the LINPACK benchmark where peta is 1015. When compared to the home PCs, the fastest possible home PC processor at a cost of $2,000 provides approx. 1 teraFLOPS where tera is 1012.
For distributed computing projects, let's look at Folding@home.
The project uses the idle processing resources of thousands of personal computers owned by volunteers who have installed the software on their systems. Its main purpose is to determine the mechanisms of protein folding, which is the process by which proteins reach their final three-dimensional structure, and to examine the causes of protein misfolding. This is of significant academic interest with major implications for medical research into Alzheimer's disease, Huntington's disease, and many forms of cancer, among other diseases. To a lesser extent, Folding@home also tries to predict a protein's final structureand determine how other molecules may interact with it, which has applications in drug design. Folding@home is developed and operated by the Pande Laboratory at Stanford University
[...]
Since its launch on October 1, 2000, the Pande Lab has produced 200 scientific research papers as a direct result of Folding@home [see https://foldingathome.org/papers-results]
Stats provided by Folding@home at https://stats.foldingathome.org/os state that their project provides a total performance of 47,344 Native teraFLOPS or 98,747 x86 teraFLOPS.
Note that these teraFLOPS values are from the software cores, not the peak values from CPU/GPU specs and these figures only just beat the performance of China's Sunway TaihuLight in 2016 which was ranked the world's fastest with 93 petaFLOPS on the LINPACK benchmark (now the 2nd fastest supercomputer).
Cost
IBMs Summit Supercomputer cost $200 million to build and according to Wikipedia, the Sunway TaihuLight cost $273 million. When you consider the computing performance provided by Folding@home is provided by volunteers (so the system is free), it is a no brainer that the computing power on offer should not be turned away.
answered 21 mins ago
Chris Rogers
2,906736
add a comment |Â
up vote
2
down vote
I don't know how readily available supercomputers are to researchers and universities but I would imagine that a big part of the answer to your question would be down to cost.
Supercomputers vs Distributed Computing Projects
Computer performance is measured in FLOPS (Floating Point Operations Per Second), and in June 2018, Summit, an IBM-built supercomputer now running at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL), captured the number one spot for the fastest computer performance at 122.3 petaFLOPS on the LINPACK benchmark where peta is 1015. When compared to the home PCs, the fastest possible home PC processor at a cost of $2,000 provides approx. 1 teraFLOPS where tera is 1012.
For distributed computing projects, let's look at Folding@home.
The project uses the idle processing resources of thousands of personal computers owned by volunteers who have installed the software on their systems. Its main purpose is to determine the mechanisms of protein folding, which is the process by which proteins reach their final three-dimensional structure, and to examine the causes of protein misfolding. This is of significant academic interest with major implications for medical research into Alzheimer's disease, Huntington's disease, and many forms of cancer, among other diseases. To a lesser extent, Folding@home also tries to predict a protein's final structureand determine how other molecules may interact with it, which has applications in drug design. Folding@home is developed and operated by the Pande Laboratory at Stanford University
[...]
Since its launch on October 1, 2000, the Pande Lab has produced 200 scientific research papers as a direct result of Folding@home [see https://foldingathome.org/papers-results]
Stats provided by Folding@home at https://stats.foldingathome.org/os state that their project provides a total performance of 47,344 Native teraFLOPS or 98,747 x86 teraFLOPS.
Note that these teraFLOPS values are from the software cores, not the peak values from CPU/GPU specs and these figures only just beat the performance of China's Sunway TaihuLight in 2016 which was ranked the world's fastest with 93 petaFLOPS on the LINPACK benchmark (now the 2nd fastest supercomputer).
Cost
IBMs Summit Supercomputer cost $200 million to build and according to Wikipedia, the Sunway TaihuLight cost $273 million. When you consider the computing performance provided by Folding@home is provided by volunteers (so the system is free), it is a no brainer that the computing power on offer should not be turned away.
answered 21 mins ago
Chris Rogers
2,906736
add a comment |Â
up vote
2
down vote
up vote
2
down vote
I don't know how readily available supercomputers are to researchers and universities but I would imagine that a big part of the answer to your question would be down to cost.
Supercomputers vs Distributed Computing Projects
Computer performance is measured in FLOPS (Floating Point Operations Per Second), and in June 2018, Summit, an IBM-built supercomputer now running at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL), captured the number one spot for the fastest computer performance at 122.3 petaFLOPS on the LINPACK benchmark where peta is 1015. When compared to the home PCs, the fastest possible home PC processor at a cost of $2,000 provides approx. 1 teraFLOPS where tera is 1012.
For distributed computing projects, let's look at Folding@home.
The project uses the idle processing resources of thousands of personal computers owned by volunteers who have installed the software on their systems. Its main purpose is to determine the mechanisms of protein folding, which is the process by which proteins reach their final three-dimensional structure, and to examine the causes of protein misfolding. This is of significant academic interest with major implications for medical research into Alzheimer's disease, Huntington's disease, and many forms of cancer, among other diseases. To a lesser extent, Folding@home also tries to predict a protein's final structureand determine how other molecules may interact with it, which has applications in drug design. Folding@home is developed and operated by the Pande Laboratory at Stanford University
[...]
Since its launch on October 1, 2000, the Pande Lab has produced 200 scientific research papers as a direct result of Folding@home [see https://foldingathome.org/papers-results]
Stats provided by Folding@home at https://stats.foldingathome.org/os state that their project provides a total performance of 47,344 Native teraFLOPS or 98,747 x86 teraFLOPS.
Note that these teraFLOPS values are from the software cores, not the peak values from CPU/GPU specs and these figures only just beat the performance of China's Sunway TaihuLight in 2016 which was ranked the world's fastest with 93 petaFLOPS on the LINPACK benchmark (now the 2nd fastest supercomputer).
Cost
IBMs Summit Supercomputer cost $200 million to build and according to Wikipedia, the Sunway TaihuLight cost $273 million. When you consider the computing performance provided by Folding@home is provided by volunteers (so the system is free), it is a no brainer that the computing power on offer should not be turned away.
answered 21 mins ago
Chris Rogers
2,906736
I don't know how readily available supercomputers are to researchers and universities but I would imagine that a big part of the answer to your question would be down to cost.
Supercomputers vs Distributed Computing Projects
Computer performance is measured in FLOPS (Floating Point Operations Per Second), and in June 2018, Summit, an IBM-built supercomputer now running at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL), captured the number one spot for the fastest computer performance at 122.3 petaFLOPS on the LINPACK benchmark where peta is 1015. When compared to the home PCs, the fastest possible home PC processor at a cost of $2,000 provides approx. 1 teraFLOPS where tera is 1012.
For distributed computing projects, let's look at Folding@home.
The project uses the idle processing resources of thousands of personal computers owned by volunteers who have installed the software on their systems. Its main purpose is to determine the mechanisms of protein folding, which is the process by which proteins reach their final three-dimensional structure, and to examine the causes of protein misfolding. This is of significant academic interest with major implications for medical research into Alzheimer's disease, Huntington's disease, and many forms of cancer, among other diseases. To a lesser extent, Folding@home also tries to predict a protein's final structureand determine how other molecules may interact with it, which has applications in drug design. Folding@home is developed and operated by the Pande Laboratory at Stanford University
[...]
Since its launch on October 1, 2000, the Pande Lab has produced 200 scientific research papers as a direct result of Folding@home [see https://foldingathome.org/papers-results]
Stats provided by Folding@home at https://stats.foldingathome.org/os state that their project provides a total performance of 47,344 Native teraFLOPS or 98,747 x86 teraFLOPS.
Note that these teraFLOPS values are from the software cores, not the peak values from CPU/GPU specs and these figures only just beat the performance of China's Sunway TaihuLight in 2016 which was ranked the world's fastest with 93 petaFLOPS on the LINPACK benchmark (now the 2nd fastest supercomputer).
Cost
IBMs Summit Supercomputer cost $200 million to build and according to Wikipedia, the Sunway TaihuLight cost $273 million. When you consider the computing performance provided by Folding@home is provided by volunteers (so the system is free), it is a no brainer that the computing power on offer should not be turned away.
answered 21 mins ago
Chris Rogers
2,906736
edited 8 mins ago
answered 21 mins ago
Chris Rogers
2,906736
answered 21 mins ago
Chris Rogers
2,906736
answered 21 mins ago
Chris Rogers
2,906736
2,906736
add a comment |Â
add a comment |Â
layman is a new contributor. Be nice, and check out our Code of Conduct.
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