Iron man 2 interface made possible – Leap Motion controller


Leap motion presents a new motion controller that can detect your finger and hand motion to bring a fluidic experience to interact with your computer. The leap motion sensor is a high quality sensor and tiny for your computer, be it your PC or Laptop or a PAD,  to detect your finger and hand motions you would naturally do, so that you can wave, grab, pick & put it down and point at something.

This 3-inch motion sensor, would give you to actually enable you to do the Iron man 2 things. See it to believe:

Visit Rober tilton’s Awesome Site

GFace invites you to crush their Servers!!!!


GFace is inviting you all Beta registered users, this weekend to crush their servers. It’s not literally “crushing”, that would be weird huh!!!! :)

Any ways, GFace would be doing a stress test on their Warface servers on 9th March 2013 and they are expecting us to put their servers under sweet pressure and load. For doing this, you would be earning points 400k max points so that you can use it when the warface is actually released.

Don’t get started yet! You could earn points only between stipulated hours i.e. 9:00 AM PST – 13:00 PST (India Timings: 10:30 PM onwards…)

So gear up and plunge into the world of online gaming with GFace powered by the one and only one awesome Crytek!!!

….And if you don’t know what is GFace, No worries, just register and take part in this global event… NOW!!!!

Here’s the link:  http://beta.gface.com/warface

Here’s the complete deal:

GFace Warface mania!!

CUDA 5 Release Candidate (Pre-Production)


CUDA 5 introduces several new tools and features that make it easier than ever to add GPU acceleration to your applications, including:

New Nsight, Eclipse Edition helps you explore the power of GPU computing with the productivity of Eclipse on Linux and MacOS

  • Develop, debug, and profile your GPU application all within a familiar Eclipse-based  IDE
  • Integrated expert analysis system provides automated performance analysis and step-by-step guidance to fix performance bottlenecks in the code
  • Easily port CPU loops to CUDA kernels with automatic code refactoring
  • Semantic highlighting of CUDA code makes it easy to differentiate GPU Code from CPU code
  • Integrated CUDA code samples makes it quick and easy to get started
  • Generate code faster with CUDA aware auto code completion and inline help

GPU callable libraries now possible with GPU Library Object Linking

  • Compile independent sources to GPU object files and link together into a larger application
  • Design plug-in APIs that allow developers to extend the functionality of your kernels
  • Efficient and familiar process for developing large GPU applications
  • Enables 3rd party ecosystem for GPU callable libraries

GPUDirect RDMA provides fastest possible communication between GPUs and other PCI-E devices

  • Direct memory access (DMA) supported between NIC and GPU without the need for CPU-side data buffering
  • Significantly improved MPISendRecv efficiency between GPU and other nodes in a network
  • Eliminates CPU bandwidth and latency bottlenecks
  • Works with variety of 3rd party network and storage devices

Dynamic Parallelism enables programmers to easily accelerate parallel nested loops on the new Kepler GK110 GPUs

  • Developers can easily spawn new parallel work from within GPU code
  • Minimizes the back and forth between the CPU and GPU
  • Enables GPU acceleration for a broader set of popular algorithms, including adaptive mesh refinement used in aerospace and automotive computational fluid dynamics (CFD) simulations
  • Supported natively on Kepler II architecture GPUs, preview programming guide and whitepaper available today

Watch the overview of  CUDA 5.0: