NVIDIA today released a new version of its CUDA parallel computing platform, which will make it easier for computational biologists, chemists, physicists, geophysicists, other researchers, and engineers to advance their simulations and computational work by using GPUs.
The new NVIDIA® CUDA® parallel computing platform features three key enhancements that make parallel programing with GPUs easier, more accessible and faster. These include:
- Re-designed Visual Profiler with automated performance analysis, providing an easier path to application acceleration
- New compiler, based on the widely-used LLVM open-source compiler infrastructure, delivering up to 10 percent speed up in application performance
- Hundreds of new imaging and signal processing functions, doubling the size of the NVIDIA Performance Primitives (NPP) library
"The new visual profiler is amazing," said Joshua Anderson, lead developer of the HOOMD-blue open source molecular dynamics project. "With just a few clicks, it performs an automated performance analysis of your application, highlights likely problem areas, and then provides links to best-practice suggestions on improving them. It makes it quick and easy for virtually all developers to accelerate a broad range of applications."
"The LLVM complier gave me an almost immediate 10 percent performance speed up, just by recompiling my existing real-time financial risk analysis code," said Gilles Civario, senior software architect at the Irish Centre for High-End Computing. "I can only imagine the additional performance gains I can achieve with additional tuning using the new CUDA release."
Among the new features of the latest CUDA parallel computing platform release -- available free of charge on the NVIDIA developer web site at http://developer.nvidia.com/getcuda -- are:
New Visual Profiler - Easiest path to performance optimization
The new Visual Profiler makes it easy for developers at all experience levels to optimize their code for maximum performance. Featuring automated performance analysis and an expert guidance system that delivers step-by-step optimization suggestions, the Visual Profiler identifies application performance bottlenecks and recommends actions, with links to the optimization guides. Using the new Visual Profiler, performance bottlenecks are easily identified and actionable.
LLVM Compiler - Instant 10 percent increase in application performance
LLVM is a widely-used open-source compiler infrastructure featuring a modular design that makes it easy to add support for new programming languages and processor architectures. Using the new LLVM-based CUDA compiler, developers can achieve up to 10 percent additional performance gains on existing GPU-accelerated applications with a simple recompile. In addition, LLVM's modular design allows third-party software tool developers to provide a custom LLVM solution for non-NVIDIA processor architectures, enabling CUDA applications to run across NVIDIA GPUs, as well as those from other vendors.
New Image, Signal Processing Library Functions - "Drop-in" Acceleration with NPP Library
NVIDIA has doubled the size of its NPP library, with the addition of hundreds of new image and signal processing functions. This enables virtually any developer using image or signal processing algorithms to easily gain the benefit of GPU acceleration, with the simple addition of library calls into their application. The updated NPP library can be used for a wide variety of image and signal processing algorithms, ranging from basic filtering to advanced workflows.
Latest News Posts
- Take to the campaign trail with The Political Machine 2016
- Rise of the Tomb Raider's latest patch improves HBAO+, and more
- Twitter has shut down over 125,000 accounts for promoting terrorism
- Google AI, Go champ match will be broadcast live on YouTube in March
- Fable Legends will use foliage physics to increase visual fidelity
- ASrock z170 extreme 7+ Post code 00
- Apacer Panther DDR4-2666 16GB Dual-Channel Memory Kit Review
- Gigabyte GA-x79-UP4 rev1.0
- Help with N56VB notebook screen
- Intel MOBO with Fast POST boot time
- HIDEO KOJIMA AND GUILLERMO DEL TORO CONFIRMED AS D.I.C.E. SUMMIT KEYNOTE SPEAKERS
- Toshiba Introduces the Next Generation OCZ Trion 150 Series Solid-State Drive Series
- Thermaltake Kicks Off 2016 MFC (Modding Fighting Championship)
- AMD Offers New Thermal Solutions and New Processors for Reliable, Near-Silent Performance
- Thermaltake and First Green Partner Aria PC Technology Join to Promote the Smart Power Management (SPM) Platform