- Analyzing Semiconductor with a set of simple toolsPosted 5 days ago
- A RTC SHIELD for Arduino and Raspberry Pi, second partPosted 2 weeks ago
- A RTC SHIELD for Arduino and Raspberry PiPosted 3 weeks ago
- A Car Battery Level Indicator that plugs in your cigar lighter socketPosted 4 weeks ago
- TORPEDO: an all-purpose switched-mode power supplyPosted 1 month ago
- The SEPIC switching convertersPosted 2 months ago
- Discover and Design innovative applications in Wireless Power with UsPosted 2 months ago
- Octopus, a “tentacular” shield for Arduino and FishinoPosted 2 months ago
- Keychainino: a programmable, playful Key RingPosted 2 months ago
- Let’s Build an open source Quadcopter – Part2Posted 3 months ago
AMD places hopes for machine learning and moneymaking in GPUopen
Upon the project’s official launch, Nicolas Thibieroz, senior manager of worldwide gaming engineering at AMD, described GPUOpen’s three main goals: Allow developers to exert more control over the GPU; use open source software to drive the development process; and collaborate with the developer community via open source. Outwardly, it sounds like the usual goodwill gestures employed by proprietary companies trying to build bridges with modern, open source-driven development communities.
AMD’s plan is to allow GPU and CPU applications to be written using a single C11 or C++11/14 set of libraries using a specially designed compiler (the Heterogenous Compute Compiler, or HCC). The compiler and its supporting software would be open source, as would future projects in the same vein — such as the Lightning Compiler, a new compiler stack based on LLVM. Nvidia also uses LLVM for its own CUDA compiler, but key pieces of the Nvidia CUDA stack remain closed source. Also, AMD boasts it can cross-compile for Nvidia’s stack as well as its own, thus reducing the reliance on any one stack, although it’s not clear what performance penalties might arise.