Wonder if this would work for noise cancelling headphones too?
It seems like its a ring that can be made smaller too:
https://www.eurekalert.org/pub...
Given how poor service often is at bars and in the casino, this might actually be an upgrade. I don't expect a robot to be polite, but I hate it when the bartender or waitress is rude or complacent to the guests.
They are behaving like this is a surprise. Anyone who knows anything about self-driving cars knows that
1. You need about $100K in sensors (LIDAR, radar, cameras, etc) to build a true L4 car
2. The software, the test cases, situational training, etc is not there yet and won't be there for 5+ years (if not 10 years)
3. Waymo is furthest ahead, but even they can only achieve true L4 driving in geo-fenced situations (Geo-fence = known area, with known routes, with good weather)
how we consume data has changed significantly. reading books has huge merits, but we now get so much information and knowledge from reading online news, scientific articles, and so on, that I feel like I am reading all day. Much more so than I read 5-10 years ago.
Books synthesize several things together in a cohesive story, but perhaps a lot of folks are growing up with shorter attention spans, and thus, prefer bite size info.
This is a great initiative to use AI for improving reading and writing. I am sure the app can be used by adults too. They are in fact a bigger potential target for something like this.
Educating primary school kids will have a long term impact.
Educating adults today will have a very quick, short term impact.
The challenge is how to motivate adults to learn to read and write (and deal with the shame of it).
The story has focused so far on how the US got the #1 crown back. But the real story is about how we can now run the fastest and largest AI jobs. Because this IBM supercomputer has 27K+ GPUs, it can run massive deep learning jobs. IBM has been very focused on this deep learning space with their TensorFlow-based open-source PowerAI software offering.
Discrete graphics is going away, they seem to be leaning increasingly towards the HPC market but that is tiny compared to the consumer graphics market that their company was built on. I just don't see it. Anyone?
There is a new easier way to program GPUs now using Directives-based compilers.
Idea is that you add some high-level pragmas to your C or Fortran code that a parallelizing compiler
uses to map to the GPU accelerator. Of course, you have to expose parallelism in the code for
the compiler to do a decent job. Example, use more data-parallel data structures. But this is a nice
incremental way to take advantage of the GPU.
Overall, I think Google+ looks more like LinkedIn, but for friends rather than professional contacts.
Here are some suggestions for LinkedIn and Google+ to improve
Lessons for LinkedIn from Google+
I think this is a big misconception about GPUs. They are good at many applications - not just Linpack.
Take a look at the list of applications ranging from video transcoding to weather forecasting to computational
chemistry to physics at: http://www.nvidia.com/cuda
There are tons of papers at the Supercomputing conference for real "full" applications in a very diverse range
of applications that are accelerated using GPUs.
- The two Chinese systems at No. 2 and No. 4 and the Japanese Tsubame 2.0 system at No. 5 are all using NVIDIA GPUs to accelerate computation, and a total of 19 systems on the list are using GPU technology.
- China keeps increasing its number of systems and is now up to 62, making it clearly the No. 2 country as a user of HPC, ahead of Germany, UK, Japan and France.
- Intel continues to provide the processors for the largest share (77.4 percent) of TOP500 systems. Intel’s Westmere processors increased their presence in the list strongly with 169 systems, compared with 56 in the last list.
- Quad-core processors are used in 46.2 percent of the systems, while already 42.4 percent of the systems use processors with six or more cores.
- Cray defended the No. 2 spot in market share by total against Fujitsu, but IBM stays well ahead of either. Cray’s XT system series remains very popular for big research customers, with three systems in the TOP 10 (one new and two previously listed).
In my opinion, the newest & most important trend in high performance computing is the advent of accelerators like GPUs.
There are tons of other CUDA accelerated numerical packages besides Matlab -- Mathematica, LabView, plugins / wrappers / libraries for Python, R, IDL. Some of these are linked from NVIDIA's website http://www.nvidia.com/object/numerical-packages.html
5 of Top 10 most green supercomputers use GPUs: Green 500 List
Each GPU is very high performance and so high power. Performance / watt is what counts and here GPUs beat CPUs by 4 to 5 times. This is why so many of the new supercomputers are using GPUs / heterogenous computing.
Steve Conway, senior analyst with IDC for high performance computing issues, said this problem has been around for a while, and multi-core is only exacerbating it. "x86 processors were never designed for HPC," he told InternetNews.com. "Those processors were not designed to communicate with each other at a high speed. With these big systems, you have to move data over large territories.
I'm sure tesla will find its users but we won't see them on the Top500 list anytime soon.
Its already made the Top 500 last week: Tokyo Tech's cluster just placed at #29 on the Top 500 with the installation of 170 NVIDIA Tesla S1070 1U systems. Each Tesla S1070 has 4 Tesla GPUs in it.
For example, Intel is designing Xeon2 completely in Bangalore, India! That is an entire product line moved to India. This is very similar to Intel's strategy of moving most mobile chip work to Israel (well, they won the internal product war).
This is a well established phenomenon now. Why hire Indians in the US, when you can hire the same folks in India for 1/4th the price. For Indians, why work in the US, when you can work in your homeland and live a very comfortable life (perhaps more so because money goes a longer way in India in terms of domestic help, etc).
Moving to finer geometeries is not panning out in standard CMOS processes anymore. Currently, the Intels, AMDs, ATIs & Nvidias ship with 90nm chips. However, the transition from 130nm to 90nm has been slower than the transition from 180 to 130nm. There are several reasons for this, but primarily leakage power is becoming worse, getting good yield on 90 took the fabs years (longer than before), a lot of people got burnt when they moved too quickly from 180 to 130nm, the area savings on area & increase in performance is no longer that much moving from one process node to another... and so on.
So, even though Intel et al are right now sampling with 65nm chips, since most ASIC companies still have to move to 90nm, I believe the move to finer geometeries will be even slower than before.
Best buy didn't give me my Broadband Modem rebate
on
Best Buy Sued By Ohio
·
· Score: 2, Insightful
I signed up for Comcast at BestBuy and I got a Motorola modem with that, which was free after rebate. But Best Buy didn't honor my rebate. They first sent it back saying I hadn't submitted all the right papers (which I had!) and then when I sent it AGAIN with the right papers AGAIN, they still sent it back to me saying my rebate was rejected since I had not submitted all the right papers. Interestingly, they returned all the papers I had submitted and I checked the list and all the papers were there !!
I just let it go because I had read online that Best Buy sucks as far as honoring rebates is concerned. I am glad to see someone is taking action.
oh - it very much is an investment. Nokia is in the business of selling phones - any software that helps them send more cell phones is useful to them - so any money they put into such software -- even if it is open source -- is an investment as far as they see it.
Slashdot Mirror
Wonder if this would work for noise cancelling headphones too? It seems like its a ring that can be made smaller too: https://www.eurekalert.org/pub...
Given how poor service often is at bars and in the casino, this might actually be an upgrade. I don't expect a robot to be polite, but I hate it when the bartender or waitress is rude or complacent to the guests.
They are behaving like this is a surprise. Anyone who knows anything about self-driving cars knows that 1. You need about $100K in sensors (LIDAR, radar, cameras, etc) to build a true L4 car 2. The software, the test cases, situational training, etc is not there yet and won't be there for 5+ years (if not 10 years) 3. Waymo is furthest ahead, but even they can only achieve true L4 driving in geo-fenced situations (Geo-fence = known area, with known routes, with good weather)
how we consume data has changed significantly. reading books has huge merits, but we now get so much information and knowledge from reading online news, scientific articles, and so on, that I feel like I am reading all day. Much more so than I read 5-10 years ago. Books synthesize several things together in a cohesive story, but perhaps a lot of folks are growing up with shorter attention spans, and thus, prefer bite size info.
This is a great initiative to use AI for improving reading and writing. I am sure the app can be used by adults too. They are in fact a bigger potential target for something like this. Educating primary school kids will have a long term impact. Educating adults today will have a very quick, short term impact. The challenge is how to motivate adults to learn to read and write (and deal with the shame of it).
The story has focused so far on how the US got the #1 crown back. But the real story is about how we can now run the fastest and largest AI jobs. Because this IBM supercomputer has 27K+ GPUs, it can run massive deep learning jobs. IBM has been very focused on this deep learning space with their TensorFlow-based open-source PowerAI software offering.
NVIDIA showed a simulation of this collision running on their latest Tesla GPGPU based on the "Kepler" architecture
Starts at around 1:00 on this video with a great explanation of the collision itself.
http://www.youtube.com/watch?v=aByz-mxOXJM&feature=relmfu
Sumit
(NVIDIA employee)
Discrete graphics is going away, they seem to be leaning increasingly towards the HPC market but that is tiny compared to the consumer graphics market that their company was built on. I just don't see it. Anyone?
Discrete GPU market is growing. See JPR's analyst reports http://jonpeddie.com/press-releases/details/embedded-graphics-processors-killing-off-igps-no-threat-to-discrete-gpus/
here is the full report http://jonpeddie.com/download/media/slides/An_Analysis_of_the_GPU_Market.pdf
There is a new easier way to program GPUs now using Directives-based compilers.
Idea is that you add some high-level pragmas to your C or Fortran code that a parallelizing compiler
uses to map to the GPU accelerator. Of course, you have to expose parallelism in the code for
the compiler to do a decent job. Example, use more data-parallel data structures. But this is a nice
incremental way to take advantage of the GPU.
Check it out at:
http://www.nvidia.com/object/tesla-2x-4weeks-guaranteed.html?cid=dev
Sumit
NVIDIA - Tesla Group
Differences between GeForce and Tesla for compute are at:
http://www.nvidia.com/object/why-choose-tesla.html
Bottom line, GeForce is great for development, but if you want to build a cluster with GPUs,
you are better off using the commercial grade Tesla GPUs.
Sumit
NVIDIA Tesla Group
Overall, I think Google+ looks more like LinkedIn, but for friends rather than professional contacts. Here are some suggestions for LinkedIn and Google+ to improve Lessons for LinkedIn from Google+
I think this is a big misconception about GPUs. They are good at many applications - not just Linpack.
Take a look at the list of applications ranging from video transcoding to weather forecasting to computational chemistry to physics at:
http://www.nvidia.com/cuda
In fact, the researchers at the Chinese Academy of Sciences just ran one of the fastest scientific simulations using their GPU supercomputer (#2 on the Top500 list):
http://blogs.nvidia.com/2011/06/chinas-investment-in-gpu-supercomputing-begins-to-pay-off-big-time/
There are tons of papers at the Supercomputing conference for real "full" applications in a very diverse range of applications that are accelerated using GPUs.
The top500 site has its own take on highlights:
http://www.top500.org/lists/2011/06/press-release
- The two Chinese systems at No. 2 and No. 4 and the Japanese Tsubame 2.0 system at No. 5 are all using NVIDIA GPUs to accelerate computation, and a total of 19 systems on the list are using GPU technology.
- China keeps increasing its number of systems and is now up to 62, making it clearly the No. 2 country as a user of HPC, ahead of Germany, UK, Japan and France.
- Intel continues to provide the processors for the largest share (77.4 percent) of TOP500 systems. Intel’s Westmere processors increased their presence in the list strongly with 169 systems, compared with 56 in the last list.
- Quad-core processors are used in 46.2 percent of the systems, while already 42.4 percent of the systems use processors with six or more cores.
- Cray defended the No. 2 spot in market share by total against Fujitsu, but IBM stays well ahead of either. Cray’s XT system series remains very popular for big research customers, with three systems in the TOP 10 (one new and two previously listed).
In my opinion, the newest & most important trend in high performance computing is the advent of accelerators like GPUs.
This is an awesome development - Microsoft adding support for GPU computing in their mainstream tools and C++.
Today, CUDA C++ already provides a full C++ implementation on NVIDIA's GPUs:
http://developer.nvidia.com/cuda-downloads
And the Thrust template library provides a set of data structures and functions for GPUs (similar in spirit to STL):
http://code.google.com/p/thrust/
- biased NVIDIA employee
NASA is also using GPUs -- looks for climate / atmospheric modeling.
So is the NNSA (National Nuclear Security Administration).
The Gordon Bell Prize give at the Supercomputing Conference is effectively the yearly Nobel Prize for computing.
Wikipedia
http://en.wikipedia.org/wiki/Gordon_Bell_Prize
ACM website:
http://awards.acm.org/bell/
There are tons of other CUDA accelerated numerical packages besides Matlab -- Mathematica, LabView, plugins / wrappers / libraries for Python, R, IDL. Some of these are linked from NVIDIA's website
http://www.nvidia.com/object/numerical-packages.html
Others from
http://www.nvidia.com/object/data_mining_analytics_database.html
3 of the Top 5 supercomputers are already using NVIDIA GPUs:
NVIDIA press release
Bill Dally outlined NVIDIA's plans for Exascale computing at Supercomputing in Nov 2010:
Bill Dally Keynote
5 of Top 10 most green supercomputers use GPUs:
Green 500 List
Each GPU is very high performance and so high power. Performance / watt is what counts and
here GPUs beat CPUs by 4 to 5 times. This is why so many of the new supercomputers are using
GPUs / heterogenous computing.
Note the comment from
Steve Conway from IDC
Steve Conway, senior analyst with IDC for high performance computing issues, said this problem has been around for a while, and multi-core is only exacerbating it. "x86 processors were never designed for HPC," he told InternetNews.com. "Those processors were not designed to communicate with each other at a high speed. With these big systems, you have to move data over large territories.
I'm sure tesla will find its users but we won't see them on the Top500 list anytime soon.
Its already made the Top 500 last week:
Tokyo Tech's cluster just placed at #29 on the Top 500 with the installation of 170 NVIDIA Tesla S1070 1U systems. Each Tesla S1070 has 4 Tesla GPUs in it.
http://www.eetimes.com/news/design/business/showA
For example, Intel is designing Xeon2 completely in Bangalore, India! That is an entire product line moved to India. This is very similar to Intel's strategy of moving most mobile chip work to Israel (well, they won the internal product war).
This is a well established phenomenon now. Why hire Indians in the US, when you can hire the same folks in India for 1/4th the price. For Indians, why work in the US, when you can work in your homeland and live a very comfortable life (perhaps more so because money goes a longer way in India in terms of domestic help, etc).
http://www.amazon.com/exec/obidos/redirect?tag=suSG
So, even though Intel et al are right now sampling with 65nm chips, since most ASIC companies still have to move to 90nm, I believe the move to finer geometeries will be even slower than before.
http://www.amazon.com/exec/obidos/redirect?tag=suI signed up for Comcast at BestBuy and I got a Motorola modem with that, which was free after rebate. But Best Buy didn't honor my rebate. They first sent it back saying I hadn't submitted all the right papers (which I had!) and then when I sent it AGAIN with the right papers AGAIN, they still sent it back to me saying my rebate was rejected since I had not submitted all the right papers. Interestingly, they returned all the papers I had submitted and I checked the list and all the papers were there !!
I just let it go because I had read online that Best Buy sucks as far as honoring rebates is concerned. I am glad to see someone is taking action.
SG
oh - it very much is an investment. Nokia is in the business of selling phones - any software that helps them send more cell phones is useful to them - so any money they put into such software -- even if it is open source -- is an investment as far as they see it.