SANTA CLARA, CA -- (Marketwire) -- 05/09/2012 -- NVIDIA today announced that LLVM, one of the industry's most popular open source compilers, now supports NVIDIA GPUs, dramatically expanding the range of researchers, independent software vendors (ISVs) and programming languages that can take advantage of the benefits of GPU acceleration.
LLVM is a widely used open source compiler infrastructure, with a modular design that makes it easy to add support for programming languages and processor architectures. The CUDA® compiler provides C, C++ and Fortran support for accelerating application using the massively parallel NVIDIA® GPUs. NVIDIA has worked with LLVM developers to provide the CUDA compiler source code changes to the LLVM core and parallel thread execution backend. As a result, programmers can develop applications for GPU accelerators using a broader selection of programming languages, making GPU computing more accessible and pervasive than ever before.
LLVM supports a wide range of programming languages and front ends, including C/C++, Objective-C, Fortran, Ada, Haskell, Java bytecode, Python, Ruby, ActionScript, GLSL and Rust. It is also the compiler infrastructure NVIDIA uses for its CUDA C/C++ architecture, and it has been widely adopted by leading companies such as Apple, AMD and Adobe.
"Double Negative has ported their fluid dynamics solver over to use their domain-specific language, Jet, which is based on LLVM," said Dan Bailey, researcher at Double Negative and contributor to the LLVM project. "In addition to the existing architectures supported, the new open-source LLVM compiler from NVIDIA has allowed them to effortlessly compile highly optimized code for NVIDIA GPU architectures to massively speed up the computation of simulations used in film visual effects."
"MathWorks uses elements of the LLVM toolchain to add GPU support to the MATLAB language," said Silvina Grad-Freilich, senior manager, parallel computing marketing, MathWorks. "The GPU support with the open source LLVM compiler is valuable for the technical community we serve."
"The code we provided to LLVM is based on proven, mainstream CUDA products, giving programmers the assurance of reliability and full compatibility with the hundreds of millions of NVIDIA GPUs installed in PCs and servers today," said Ian Buck general manager of GPU computing software at NVIDIA. "This is truly a game-changing milestone for GPU computing, giving researchers and programmers an incredible amount of flexibility and choice in programming languages and hardware architectures for their next-generation applications."
To download the latest version of the LLVM compiler with NVIDIA GPU support, visit the LLVM site.
Latest News Posts
- The World of 'Warcraft' comes to Blu-ray, 4K in September
- Windows 10 will cost $119 after free upgrade expires
- Hacker uncovers Vine source code, Twitter pays him $10,080
- Nexus, Android One phones updated with spam caller protection
- Run Windows natively on Mac and Linux without the hassle
- Asrock z77 Extreme 6 Ram Overclocking Stuck at 2000mhz
- MDD BP5e 480GB M.2 SATA III SSD Review
- ASRock Beebox-S (Intel Core i5-6200U) Mini PC Review
- AMD Positioning Itself to Become a Commanding Force in Rendering
- GA-EX58-UD5 New Bios Ver. F14
- Polaris Nitro-charged - introducing the SAPPHIRE NITRO+ Radeon RX 480
- AccelStor debuting NeoSapphire 3706-ES1 at Flash Memory Summit 2016
- Elitegroup ceremoniously launches ECS H110S-2P mini-STX motherboard and the all-new LIVA Pro Mini PC
- MSI announces custom GeForce GTX 1060 graphics cards
- Seagate unveils the industry's broadest 10TB portfolio