blog.speedgocomputing.com
SpeedGo Computing: First Release of SGC Ruby CUDA - Beginning of a long way path
http://blog.speedgocomputing.com/2011/04/first-release-of-sgc-ruby-cuda.html
Speed breaking computational problems with multi-core CPU and GPU. Saturday, April 30, 2011. First Release of SGC Ruby CUDA - Beginning of a long way path. Today we decided to put up the first release of the SGC Ruby CUDA v0.1.0 as a mean to attract Rubyists to try out GPU programming as their new toy projects, and also to encourage HPC developers to evaluate if Ruby is good to use for their HPC applications. Compared to developing a complex application from scratch in C/C /CUDA C, one has to go through ...
blog.speedgocomputing.com
SpeedGo Computing: Being Nvidia CUDA Certified Programmer!
http://blog.speedgocomputing.com/2011/06/being-nvidia-cuda-certified-programmer.html
Speed breaking computational problems with multi-core CPU and GPU. Sunday, June 26, 2011. Being Nvidia CUDA Certified Programmer! It takes some courage and effort to take the Nvidia CUDA Certification exam. You'll have to pay S$350 for that yet there is no guarantee of real use in business and career. The exam questions are perfect to squeeze out all your brain juice. Let's call for all Nvidia CUDA Certified Programmer, starting from Singapore. Anyone else CUDA certified? What's your plan on CUDA?
blog.speedgocomputing.com
SpeedGo Computing: May 2011
http://blog.speedgocomputing.com/2011_05_01_archive.html
Speed breaking computational problems with multi-core CPU and GPU. Monday, May 9, 2011. The Choice is Yours: CUDA in C or Ruby. See the output here: Ruby Query Output. See the output here: C Query Output. Links to this post. Tuesday, May 3, 2011. Web Seminar: Programming GPUs Beyond CUDA. Prof Chen from Tshing Hua University is proposing MapCG, a MapReduce framework as a resolution to the portability problem. Check out the details of the seminar in the following link:. Links to this post.
blog.speedgocomputing.com
SpeedGo Computing: November 2010
http://blog.speedgocomputing.com/2010_11_01_archive.html
Speed breaking computational problems with multi-core CPU and GPU. Friday, November 19, 2010. Using SGC-Ruby-CUDA on the Newly Launched Amazon EC2 Cluster GPU. Wonder if GPU works for you? No budget for a system with decent GPU? Installations and configurations are too much trouble for you? You can now try out SGC-Ruby-CUDA on Amazon EC2 with the system image, located at US East Virginia zone, called SGCRubyCUDA.1 which is available as a community AMI. Compile for rubycu shared library and run tests.
blog.speedgocomputing.com
SpeedGo Computing: June 2012
http://blog.speedgocomputing.com/2012_06_01_archive.html
Speed breaking computational problems with multi-core CPU and GPU. Monday, June 18, 2012. Personal Supercomputing System with Quad GPUs. The secrets of the new Kepler GPUs have been revealed. The Kepler based graphics cards have been studied extensively for gaming performance. Most would suggest you don't need the upgrade. Furthermore, the supported PCI-E 3.0 is of little to no use. Supports dual 16x PCI-E. Most other boards support only single 16x. Built-in 32GB SSD storage. Asus GTX 690 4GB x 2. A clos...
blog.speedgocomputing.com
SpeedGo Computing: The Choice is Yours: CUDA in C++ or Ruby
http://blog.speedgocomputing.com/2011/05/choice-is-yours-cuda-in-c-or-ruby.html
Speed breaking computational problems with multi-core CPU and GPU. Monday, May 9, 2011. The Choice is Yours: CUDA in C or Ruby. See the output here: Ruby Query Output. See the output here: C Query Output. Subscribe to: Post Comments (Atom). There was an error in this gadget. This work is licensed under a. Noncommercial-Share Alike 3.0 License. Singapore - Google Technology User Group. HPC Software Engineer of SpeedGo Computing. Specialized in parallel programming for multi-core CPU and GPU.
blog.speedgocomputing.com
SpeedGo Computing: Web Seminar: Programming GPUs Beyond CUDA
http://blog.speedgocomputing.com/2011/05/web-seminar-programming-gpus-beyond.html
Speed breaking computational problems with multi-core CPU and GPU. Tuesday, May 3, 2011. Web Seminar: Programming GPUs Beyond CUDA. GPU/CUDA programming is easy if we ignore the performance, or even the correctness of the program. It becomes tough when the performance is critical, one has to optimize very hard on the specific hardware. Fortunately, GPU hardware performance improves drastically every 2 years. Unfortunately, the performance is not portable across different generations of GPUs.
blog.speedgocomputing.com
SpeedGo Computing: June 2011
http://blog.speedgocomputing.com/2011_06_01_archive.html
Speed breaking computational problems with multi-core CPU and GPU. Sunday, June 26, 2011. Being Nvidia CUDA Certified Programmer! It takes some courage and effort to take the Nvidia CUDA Certification exam. You'll have to pay S$350 for that yet there is no guarantee of real use in business and career. The exam questions are perfect to squeeze out all your brain juice. Let's call for all Nvidia CUDA Certified Programmer, starting from Singapore. Anyone else CUDA certified? What's your plan on CUDA?
blog.speedgocomputing.com
SpeedGo Computing: GPU Computing with Ruby
http://blog.speedgocomputing.com/2011/04/gpu-computing-with-ruby.html
Speed breaking computational problems with multi-core CPU and GPU. Sunday, April 24, 2011. GPU Computing with Ruby. Presented in RedDotRubyConf 2011 - PechaKucha Night Singapore. GPU Computing with Ruby. April 25, 2011 at 10:56 PM. A few suggestions from my work with Ruby and MPI on a 2048 processor computing system. A = GpuMatrix.new(100,100). B = GpuMatrix.new(100,100). C = GpuMatrix.new(100,100). April 25, 2011 at 11:15 PM. The use of dynamic library in the slides is merely to workaround with the CUDA...
blog.speedgocomputing.com
SpeedGo Computing: September 2010
http://blog.speedgocomputing.com/2010_09_01_archive.html
Speed breaking computational problems with multi-core CPU and GPU. Sunday, September 26, 2010. Parallel programming knowledge is must-have skill for Wall Street. Parallel programming knowledge is must-have skill for Wall Street. Links to this post. Friday, September 17, 2010. Unigine crew: CUDA vs OpenCL vs SPU Part IV. Unigine crew: CUDA vs OpenCL vs SPU Part IV. Links to this post. CUDA Programming with Ruby. Need GPU computing power in your Ruby program? CUDA Programming with Ruby. Get the first device.