NVIDIA Corporation : NVIDIA Contributes CUDA Compiler to Open Source Community
05/09/2012| 11:08am US/Eastern
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SANTA CLARA, CA, May 09, 2012 (MARKETWIRE via COMTEX)
--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(R) compiler provides C, C++ and Fortran support for
accelerating application using the massively parallel
NVIDIA(R) 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.
To learn more about GPU computing, visit the NVIDIA website.
To learn more about CUDA or download the latest version,
visit the CUDA website. More NVIDIA news, company and product
information, videos, images and other information is
available at the NVIDIA newsroom.
About NVIDIA NVIDIA (NASDAQ: NVDA) awakened the world to
computer graphics when it invented the GPU in 1999. Today,
its processors power a broad range of products from
smartphones to supercomputers. NVIDIA's mobile processors
are used in cell phones, tablets and auto infotainment
systems. PC gamers rely on GPUs to enjoy spectacularly
immersive worlds. Professionals use them to create 3D
graphics and visual effects in movies and to design
everything from golf clubs to jumbo jets. And researchers
utilize GPUs to advance the frontiers of science with high
performance computing. The company has more than 4,500
patents issued, allowed or filed, including ones covering
ideas essential to modern computing. For more information,
see www.nvidia.com.
Certain statements in this press release including, but not
limited to statements as to: the impact and benefits of
NVIDIA GPUs; and the effects of the company's patents on
modern computing are forward-looking statements that are
subject to risks and uncertainties that could cause results
to be materially different than expectations. Important
factors that could cause actual results to differ materially
include: global economic conditions; our reliance on third
parties to manufacture, assemble, package and test our
products; the impact of technological development and
competition; development of new products and technologies or
enhancements to our existing product and technologies; market
acceptance of our products or our partners products; design,
manufacturing or software defects; changes in consumer
preferences or demands; changes in industry standards and
interfaces; unexpected loss of performance of our products or
technologies when integrated into systems; as well as other
factors detailed from time to time in the reports NVIDIA
files with the Securities and Exchange Commission, or SEC,
including its Form 10-K for the fiscal period ended January
29, 2012. Copies of reports filed with the SEC are posted on
the company's website and are available from NVIDIA
without charge. These forward-looking statements are not
guarantees of future performance and speak only as of the
date hereof, and, except as required by law, NVIDIA disclaims
any obligation to update these forward-looking statements to
reflect future events or circumstances.
Copyright 2012 NVIDIA Corporation. All rights reserved.
NVIDIA, the NVIDIA logo and CUDA are trademarks and/or
registered trademarks of NVIDIA Corporation in the U.S. and
other countries. Other company and product names may be
trademarks of the respective companies with which they are
associated. Features, pricing, availability, and
specifications are subject to change without notice.
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SOURCE: NVIDIA
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