Do you have $36,000 laying around? Do you not mind paying $1000 per inch for screen real-estate? Do you need a computer monitor that offers such extreme resolution that you can see Duke’s individual hair follicles? Then Eiko has just the display for you coming out this September, a massive 4Kx2K monitor. Equivalent to 4 standard 1080p monitors stacked 2 by 2, this reminds me much of the old IBM T221 monitor. Hopefully this one will fare better.
The New York Times has a fun new interactive toy on their site that lets you define your family and see how many families are like in in the US. It updates on the fly and shows lots of additional data like median incomes and historical data.
My family is similar to only 0.16% of all households. How about yours?
This past Sunday we celebrated Father’s Day, and the folks at Redbox released an infographic showing that more dads own Nintendo Wiis than other consoles, so we decided to take a look at the Nintendo world. First, some facts about the company, brought by Online MBA, and its biggest franchise, Super Mario, provided by Home Owner Insurance. Then, a couple of timelines: the Nintendo Handheld, evolution, found on xxxxx, and the Gameboy timeline, by It burns when I PVP – and let’s wait to see what people will do when the Wii U is released.
NVidia and Microsoft are coming together for an event on C++ and GPU Computing, discussing heterogeneous computing with Microsoft’s new AMP and the new ALM tools in Visual Studio V.next.
Tickets are free, but space is limited so you need to register. Plus, they’ll have free food and beverages :)
I got a tip about a new piece of software called ‘Gimpel3D’ that offers 2D/3D conversion. From their description:
Gimpel3D converts single images or frame sequences into stereoscopic 3D using a combination of traditional approaches and a proprietary projective modeling system.
The user works in true proportional space where the scene can be viewed from any location. The scene is edited geometrically in space using tools specifically designed to work with the perspective projection of the image.
It looks pretty powerful, as evidenced from some of the demonstration videos available on their site (I’ve embedded one below).
It’s available free in a “shareware” version that watermarks images and maxes out at 720×480, but is available for only $200 for a single-seat license. I also have it on good authority that the developer is available for custom integration work :)
AMD just wrapped up their first Fusion Developer summit (AFDS) where they got indepth into the fusion architecture, talking about GPU computing and its future in modern architectures, and leaked some information about their upcoming design “Graphics Core Next”. Anandtech has all the details.
The fundamental issue moving forward is that VLIW designs are great for graphics; they are not so great for computing. However AMD has for all intents and purposes bet the company on GPU computing – their Fusion initiative isn’t just about putting a decent GPU right on die with a CPU, but then utilizing the radically different design attributes of a GPU to do the computational work that the CPU struggles at. So a GPU design that is great at graphics and poor at computing work simply isn’t sustainable for AMD’s future.
With AMD Graphics Core Next, VLIW is going away in favor of a non-VLIW SIMD design. In principal the two are similar – run lots of things in parallel – but there’s a world of difference in execution. Whereas VLIW is all about extracting instruction level parallelism (ILP), a non-VLIW SIMD is primarily about thread level parallelism (TLP).
Matthew Hurst has created a nice “litmus test” for folks in visualization. Take a look and see how many of the 10 questions you can get right.
While this was just intended as a warm up before the talk, I believe that anyone working in a data driven organization, or with the title ‘data scientist’ should be able to nail these questions on the back of their passion and curiosity around data.
I might just keep a copy of this on-hand (already have it in Evernote!) to use in presentations.
A new press release from Nvidia discusses the use of QuadroPlex GPU Virtualization by Santos, an Australia-based oil and gas company, to bring high-powered GPU capabilities to thin-client workstations.
Santos uses IBM x3650 M3 server utilizing NVIDIA Quadro Plex scalable visualization systems. All 12 servers located at their various offices are powerful enough to serve more than 600 users at a time to provide a high-performance, 3D Linux production environment, which their users can access from any Santos’ office using a standard Windows notebook PC with no 3D capabilities. Rather than have a high-end workstation deal with the 3D rendering and calculations, each server maximizes performance by loadbalancing the four GPUs contained in each NVIDIA Quadro Plex connected to each server to handle hundreds of 3D render requests from multiple users at a single time.
Many people would call this “private clouds”, but it’s actually just classic-old school virtualization technology. Beefing it up by some new kit from NVidia, I’m impressed to hear they can services 600 users simultaneously.
There’s a new web-based data visualization platform on the horizon named Weave, built through a partnership of several institutes that aims for high-speed interactivity and responsiveness across a wide variety of visualizations and datatypes.
Weave is the result of a broad partnership: it was developed by the Institute for Visualization and Perception Research at the University of Massachussetts Lowell, with support from the Open Indicators Consortium, which is made up of over ten municipal, regional, and state member organizations. This consortium will probably expand now that Weave is open source, leading hopefully to greater collaboration, more development, and further innovation on this important platform.
The code is available right now in Git under GPLv3. Unlike other options like ManyEyes or Fusion Tables, it’s meant for you to setup your own server and access it locally.
Electronic Health Records are a topic near and dear to my heart (my wife is an RHIA coder), but frequently I find her and myself at odds as to what data is considered “important”. While I believe there’s some discrete numbers of use, she (and most medical professionals) believe that more data is never a bad thing, which leads to unwieldy templates and huge amounts of data bloat. Over at Rxinformatics, they look at some of the new technology dealing with the incoming tsunami of raw health data.
For example, take a look at this sample template of a H&P; the template alone is 281 lines! Now imagine that being populated with data. This is all before the provider even types a single letter into it. For a patient who presented to the ED with a CC of hypotension and the A/P consisted of “dehydrated; gave IVF and D/Ced”, it becomes silly why the progress note would look like a senior thesis. Of course, in an era where most progress notes don’t include enough information, this observation may seem absurd to some. It becomes pertinent, though, because it seems there is an inverse relationship where healthcare providers write less the more an EHR imports data.
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