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Journal: Backup Software Windows

Journal by s2n553

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Journal: Better Lifestyle at Old Age- Assisted Living Sacramento

Journal by comfortableassistedl

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Comment: Re:Sounds iffy (Score 2, Insightful) 237

by Gorobei (#44335153) Attached to: Study Finds Fracking Chemicals Didn't Pollute Water

No, it was a totally solid study. From the article:

paragraph 1: "A landmark federal study"
paragraph 2: "After a year of monitoring"
paragraph 3: "Although the results are preliminary"
paragraph 4: "Drilling fluids tagged with unique markers were injected more than 8,000 feet below the surface"
paragraph 8: "The study marked the first time that a drilling company let government scientists inject special tracers into the fracking fluid"

See, fracking is totally safe. A single "landmark" study proves it. When the fracking was 1.5 miles deep, after one year, no bad effects were observed. Also, this was the one study allowed by any drilling company.

Sheesh, what are you people concerned about?

Comment: Re:No more ocean water cooling in CA (Score 1) 189

by ebno-10db (#44335149) Attached to: Collision Between Water and Energy Is Underway, and Worsening

Then there is the little detail that many of our power plants use ocean water!

Well, they WERE designed to use ocean water. But California's State Water Resources Control Board has ordered them to stop using ocean water, in a phased plan starting soon and finishing by 2024.

Last I checked, California was REALLY broke, and this will cost billions, so I question whether this is really the time. But the costs will simply be passed along to the people of California who will just have to pay more for power.

Also, the power plant operators prefer to mitigate the harm to fish by just putting screens over the water intakes, rather than by scrapping the ocean cooling and switching to fresh water. This was not permitted.

http://www.calwatchdog.com/2011/03/23/ca-water-boards-%E2%80%98animal-farm%E2%80%99-policy/

http://www.americanwaterintel.com/archive/1/11/general/california-orders-plants-cut-intake-flow-93.html

Wow, I'm pretty strongly pro-environmental and I think that's nuts. I've heard of requiring things like mile(?) long inlet/outlet pipes to avoid thermal pollution near the shoreline, but requiring them to switch to fresh water (in dry-as-a-bone California no less)? That's crazy.

Comment: OpenCL not obsolete. OpenACC generates CUDA/OpenCL (Score 2) 198

by keneng (#44335141) Attached to: Ask Slashdot: What Is the Most Painless Intro To GPU Programming?

OpenACC may be higher-level(easier to use), but it still generates CUDA/OpenCL code. Your wording sounded like "OpenCL support is gone." I want to correct you on that. OpenCL is the future and wraps CUDA also. If you code for CUDA, you can only target CUDA hardware. If you code for OpenCL, you can target not only AMD, but also CUDA hardware. That was the point of the OpenCL spec in the first place. OpenCL can also transparently take advantage of the local CPU cores. OPENCL has one drawback. OpenCL does not support all types. It is highly constrained to certain kinds of types relevant to graphics/3D. There have been some kludge patches to make CUDA/OpenCL work with string types (i.e. parallel grep with CUDA), but these aren't well suited because the hardware was not intended for that and it requires a lot of moving of memory from the main motherboard memory to the graphics card memory which wastes a lot of time. String parallelizing is better done with mechanisms like OpenMP. OpenMP can support any kind of types and crunch with them and OpenMP is designed to co-exist with MPI(RPC-like many computer parallelism).

Start learning OpenCL, OpenMP, MPI, GNU & boost library parallelism. To make it easier try running golang opencl examples:
apt-get install mercurial meld
hg clone -u release https://code.google.com/p/go
cd go
cd src ./all.bash
#Put this into your ~/.bashrc:
export GOROOT=/home/youruser/yourgo
export PATH=$PATH:$GOROOT/bin
mkdir -p ~/goopencl
cd ~/goopencl
mkdir -p ~/goopencl/pkg
mkdir -p ~/goopencl/src
export GOPATH=/home/youruser/goopencl
go get github.com/tones111/go-opencl/cl
go get github.com/tones111/raw
cd /home/youruser/goopencl/src/github.com/tones111/go-opencl/cl/demo/rotate/
go run rotate.go -i="i.png" -o="o.png" -a=15

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+ - Obama for America Chief Scientist Patented for Ireland

Submitted by theodp
theodp (442580) writes "It's widely-acknowledged that analytics were key to President Obama’s 2012 win. Behind Obama's Big Data Victory were quants like Rayid Ghani, the campaign's Chief Scientist, who had been at Accenture Data Labs prior to joining OFA. It was at Accenture, Slate reported, where Ghani developed the expertise that was tapped to persuade voters to reelect President Obama. Interestingly, a USPTO search reveals that some of Ghani's expertise is covered by pending and issued patents assigned to Accenture Global Services Limited in Dublin. Accenture switched its country of incorporation from Bermuda to Ireland amid a crackdown on tax havens by the Obama administration. Hey, maybe that's why the White House is going nuclear on certain patent holders! Ghani, by the way, is now running Data Science for Social Good, a program funded by Google CEO and Obama advisor Eric Schmidt at the University of Chicago, where the President once taught."

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Google News Sci Tech: FCC Backs Plan to Update a Fund That Helps Connect Schools to the Internet - New->

From feed by feedfeeder

New York Times (blog)

FCC Backs Plan to Update a Fund That Helps Connect Schools to the Internet
New York Times (blog)
WASHINGTON — The Federal Communications Commission voted on Friday to overhaul and possibly expand its E-Rate program, a $2.3 billion effort to provide schools and libraries with up-to-date telecommunications service and equipment, including...
FCC votes to bring faster internet to US schoolsRegister
US FCC moves to reform E-Rate subsidy for Internet at schoolsReuters
FCC moves to bring faster Internet to schoolsVentureBeat
eNews Park Forest-Multichannel News-Broadcasting & Cable
all 19 news articles

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Comment: Re:Did it work? (Score 0) 49

Comment: Relatively Painless = GPU Libraries (Score 1) 198

Always awesome to see GPU computing getting Slashdot love!

Do I have to learn CUDA/OpenCL — which seems a daunting task to me — or is there a simpler way?

You do NOT have to learn CUDA or OpenCL. You can use libraries or compilers. GPU libraries tend to give better performance than GPU compilers (e.g. OpenACC) and tend to be able to handle more algorithms. That is because compilers are simply not smart enough to do things as well as expert programmers who meticulously hand-tune kernels and put them in libraries. Any number of libraries are available. There are many poorly supported libraries out there, so you may have to search around to find good ones. I suggest one below.

What, currently, is the most painless way to start playing with GPU programming? Surely there must a be a 'relatively painless' way out there, with which one can begin to learn how to harness the GPU?"

My colleagues and I at AccelerEyes have dedicated the last 6 years of our lives to trying to help people find exactly what you're looking for - "a relatively painless" way to harness the GPU. The result is our ArrayFire library for CUDA or OpenCL. I know it's uncool to toot one's horn, but the GPU computing community is small enough that people know each other and we're all working together to build out the ecosystem. There are many different contributions to GPU computing by many different groups. Our group's specialty in the ecosystem has always been the "relatively painless" contribution coupled with great performance. The reason people like our stuff is because we do nothing but work on squeezing out the most performance possible. Then we wrap up those kernels into convenient library calls that can be plugged in like math functions to your code with much less burden than writing the CUDA or OpenCL from scratch.

Happy to answer any further questions you may have about specific libraries, compilers, or GPU programming approaches. We eat, drink, and breathe everything CUDA/OpenCL.

BTW, we also encourage learning expert CUDA/OpenCL development. It is tough, no doubt about that. It is time-consuming and for many developers is not worth the added development complexity and lengthened development time. It sounds like you are probably in the boat of not caring about becoming an expert in low-level details, rather just wanting to get better performance to achieve a goal and be done with it. Is that correct?

Perhaps a Visual Programming Language or 'VPL' that lets you connect boxes/nodes and access the GPU very simply?

Labview does not have good support for GPUs. Many ArrayFire users are building custom Labview blocks so that they can program the GPUs more simply. I can connect you to some of those users if you wish (just shoot me a note to john@accelereyes.com).

I'm unaware of another graphical box/nodes package that supports GPUs.

---

While I'm at it, I know this post is going to be read by many expert CUDA/OpenCL developers out there. If you're interested in writing CUDA/OpenCL code daily, we're hiring (see my email above) :)

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+ - SPAM: Key Features Android Smart Phone

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+ - Tyrinti realaus pasaulio produkt Picos I Namus Kaune!->

Submitted by towns23942
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+ - Nagrinjanti greitai sistemos Pica Pica Kaune!->

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