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
- ARCHOS unveils the larger screened Diamond Plus smartphone
- Star Wars: Battlefront beta hits in October, features 20v20 chaos
- Get Ahead of the iOS 9 Curve: Create Your Own iPhone Apps
- NVIDIA secures 81% of the GPU market according to JPR
- eSports betting startup Unikrn gets backed by Ashton Kutcher
- GA-EP45-UD3R doesn't boot with Dual Channel (After Clean PC)
- carvedilol 3.125 mg information. Purchase online.
- Im happy I now signed up
- ASUSTOR AS5004T Four-Bay Consumer NAS Review
- Gigabyte G1 z170 Gaming 7 motherboard.
- CYBERTRONPC ANNOUNCES SMALL FORM FACTOR SYSTEM WITH AMD R9 NANO GRAPHICS CARD
- SilverStone Storage Devices - Mobile Series - MS08
- ASRock Z170 OC Formula Sets More Records at IDF 2015 San Francisco!
- ATTO Technology to Display Network and Storage Connectivity Portfolio at VMworld 2015
- SilverStone Accessories - Expansion Cards - ECM20