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Unconventional use of indexers |
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Zeep Mobile APIs - Free SMS! |
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"Near C Performance" w/ TraceMonkey JavaScript Engine |
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ScottGu MIA |
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Welcome Golnaz to Channel 9
Sep 27, 2011 at 8:20 PMGo 'Eaters! Zot zot!
Workflow TV - WF4 State Machine Hands On Lab: Exercise 1
Jun 29, 2011 at 11:26 PMThanks Ron! I was particularly impressed with all the automatic logging at the end of Exercise 1 - neat.
Expert to Expert: Erik Meijer and Michael Isard - Inside Dryad
Aug 01, 2009 at 1:54 PMbump - any thoughts?
Expert to Expert: Erik Meijer and Michael Isard - Inside Dryad
Jul 22, 2009 at 10:36 PMVery exciting, guys. Thanks for your increasing commitment to the academic and open source communities. Hopefully, we'll see an MS-PL license for this work someday, too.
I do have (an admittedly biased) comment on the recent C9 "many-core" discussions. I really appreciate your encouraging discussion on many-core, Charles, in this interview and others. There seems, however, to be a supposition in the interviews that "one day in the future" we'll have many-core at our disposal. We obviously already have extremely powerful many-core processors in our everyday gaming rigs - NVIDIA and AMD have revolutionized a large set of scientific computing problems, and a cross-platform stream computing language has been ratified and adopted my many of the major players. Stream computing seems to be almost intentionally absent from the discussion. It's especially poignant to me in these two videos when discussing Dryad's capabilities for re-structuring expression tree nodes or pipelining computations based on the skew of the data - couldn't these strategies also help when targeting architectures such as the GPU (or Cell...I guess)?
I know you've covered the Microsoft Accelerator project in the distant past, and I know Dryad was built to target systems without shared memory, and I know parts of PFX are built specifically with CLR architectures in mind, and I knowcurrent GPU architectures have PCI-Express bandwidth limitations...but Map-Reduce has been shown to map to the GPU quite readily for some applications, Brahma and C$ languages have shown you can efficiently map high-level lamdas in managed code to GPU code, and DX Compute (though unmanaged) is here..
So, in the end, I guess my question is: Can we have a C9 discussion about how I might soon write something as "simple" as:
myVeryLargeArray.AsParallel().OnGPU().Select( x => a*x +b); ?
Thanks for listening - keep up the great work!!
This Week on C9 – Hell No! Countdown to PDC2008 Ambush Dan and Brian, Taking Over their Show for 10 Groovy Minutes
Oct 09, 2008 at 7:15 PMEdit - nm, back up now.
Stephan T. Lavavej: Digging into C++ Technical Report 1 (TR1)
Feb 25, 2008 at 2:18 PMJoe Duffy, Huseyin Yildiz, Daan Leijen, Stephen Toub - Parallel Extensions: Inside the Task Parallel
Feb 20, 2008 at 11:47 PM1) Grid computing has the same challenges as multi-core computing, adding in extra overhead and remoting/serialization requirements. Windows HPC Server 2008 will provide a job manager that can distribute jobs over a network with WCF. Digipede Networks offers a similar solution. What is the feasibility of doing the same thing with the TPL and what potential hurdles must be overcome?
2) What about TPL + Silverlight 2.0?
3) What about Volta + Silverlight + TPL for #1?
Emma Williams: Building Visual Studio with Intentional Engineering
Sep 16, 2007 at 6:15 PMAnd, what MS?
ARCast.TV - DinnerNow Transactional File System
Jul 19, 2007 at 6:40 PMMicrosoft Robotics Tour: CCR, VPL, Simulation - Part 2
Apr 28, 2007 at 10:59 PM