NVIDIA today announced NVIDIA CUDA 6, the latest version of the world's most pervasive parallel computing platform and programming model.
The CUDA 6 platform makes parallel programming easier than ever, enabling software developers to dramatically decrease the time and effort required to accelerate their scientific, engineering, enterprise and other applications with GPUs.
It offers new performance enhancements that enable developers to instantly accelerate applications up to 8X by simply replacing existing CPU-based libraries. Key features of CUDA 6 include:
- Unified Memory -- Simplifies programming by enabling applications to access CPU and GPU memory without the need to manually copy data from one to the other, and makes it easier to add support for GPU acceleration in a wide range of programming languages.
- Drop-in Libraries -- Automatically accelerates applications' BLAS and FFTW calculations by up to 8X by simply replacing the existing CPU libraries with the GPU-accelerated equivalents.
- Multi-GPU Scaling -- Re-designed BLAS and FFT GPU libraries automatically scale performance across up to eight GPUs in a single node, delivering over nine teraflops of double precision performance per node, and supporting larger workloads than ever before (up to 512 GB). Multi-GPU scaling can also be used with the new BLAS drop-in library.
"By automatically handling data management, Unified Memory enables us to quickly prototype kernels running on the GPU and reduces code complexity, cutting development time by up to 50 percent," said Rob Hoekstra, manager of Scalable Algorithms Department at Sandia National Laboratories. "Having this capability will be very useful as we determine future programming model choices and port more sophisticated, larger codes to GPUs."
"Our technologies have helped major studios, game developers and animators create visually stunning 3D animations and effects," said Paul Doyle, CEO at Fabric Engine, Inc. "They have been urging us to add support for acceleration on NVIDIA GPUs, but memory management proved too difficult a challenge when dealing with the complex use cases in production. With Unified Memory, this is handled automatically, allowing the Fabric compiler to target NVIDIA GPUs and enabling our customers to run their applications up to 10X faster."
In addition to the new features, the CUDA 6 platform offers a full suite of programming tools, GPU-accelerated math libraries, documentation and programming guides.
Version 6 of the CUDA Toolkit is expected to be available in early 2014. Members of the CUDA-GPU Computing Registered Developer Program will be notified when it is available for download. To join the program, register here.
For more information about the CUDA 6 platform, visit NVIDIA booth 613 at SC13, Nov. 18-21 in Denver, and the NVIDIA CUDA website.
Latest News Posts
- Obsidian's new Outer Worlds is Epic Store exclusive
- Witcher 4 may be CD Projekt RED's next game
- Strong sales cement Anthem in EA's playbook
- Ocarina of Time Online brings co-op to Hyrule
- Nintendo could be considering making their own gaming phone
- Getting SSD to boot
- Seagate Game Drive PS4 2TB Review
- GA-X99-UD5 rev 1.0 power ON issue
- Asus RT-N16 - Can´t get wifi to work
- ASUS RT-AX88U Wi-Fi 6 Router Review
- Killing Floor: Double Feature Coming May 21, 2019 to PlayStation Store and Game Retailers Near You
- Critically acclaimed retro platformer The Messenger hits PlayStation 4 today
- OMG Zombies! to invade Nintendo Switch on the 26th March!
- LEGO DC Super-Villains Releases Batman: The Animated Series Level Pack
- Super Crome: Bullet Purgatory Enters the Steam Early Access Atmosphere Today