LEDLoad has started as a neat CPU load display using a single dual color LED. The current release has been extended to support up to two tri-color LEDs. It is designed to use a free internal USB port of any modern PC and replace the power LED in the case with something more interesting. A host driver kernel module is available for Linux. Port Manteaux was created by Doug Beeferman and Sean Gerrish. It uses the Datamuse API to find related words, and then finds combinations of these words that pair well together phonetically. Note: The algorithm tries reconstruct a spelling for the new word after generating its pronunciation, and sometimes this spelling isn't quite right. The USB host port inside the tinker board is for power supply only, RK3288, was originally intended to be used in the mobile market, e.g. The single USB port on a phone for connection to a PC, or to a single device. In essence, the OTG hardware is simpler than the equivalent hardware on a PC. LogPrint(“Finished writing to Serial Port driver.”) My port is open at 9600 BAUD, Odd parity, 8 data, 1 stop bit and other defaults. And port is using the default.WriteBufferSize = 2048. At 9600BAUD, each 11-bit character takes 1.146ms to transmit and from the timestamps in my logPrint function, I see it took 1025 ms to send the 1000 bytes.
Download Quick Links [ Windows ] [ Linux ] [ MacOS ]
For the latest releases see the CUDA Toolkit and GPU Computing SDK home page
For older releases, see theCUDA Toolkit Release Archive
Release Highlights
- GPUDirect(tm) gives 3rd party devices direct access to CUDA Memory
- Support for 16-way concurrency allows up to 16 different kernels to run at the same time on Fermi architecture GPUs
- Runtime / Driver interoperability enables applications to mix-n-match use of the CUDA Driver API with CUDA C Runtim and math libraries via buffer sharing and context migration
- New language features added to CUDA C / C++ include:
- Support for printf() in device code
- Support for function pointers and recursion make it easier to port many existing algorithms to Fermi GPUs
- Unified Visual Profiler now supports both CUDA C/C++ and OpenCL, and now includes support for CUDA Driver API tracing
- Math Libraries Performance Improvements, including:
- Improved performance of selected transcendental functions from the log, pow, erf, and gamma families
- Significant improvements in double-precision FFT performance on Fermi-architecture GPUs for 2^n transform sizes
- Streaming API now supported in CUBLAS for overlapping copy and compute operations
- CUFFT Real-to-complex (R2C) and complex-to-real (C2R) optimizations for 2^n data sizes
- Improved performance for GEMV and SYMV subroutines in CUBLAS
- Optimized double-precision implementations of divide and reciprocal routines for the Fermi architecture
- New and updated SDK code samples demonstrating how to use:
- Function pointers in CUDA C/C++ kernels
- OpenCL / Direct3D buffer sharing
- Hidden Markov Model in OpenCL
- Microsoft Excel GPGPU example showing how to run an Excel function on the GPU
Note: The developer driver packages below provide baseline support for the widest number of NVIDIA products in the smallest number of installers. More recent production driver packages for developers and end users may be available atwww.nvidia.com/drivers.
For additional tools and solutions for Windows, Linux and MAC OS , such as CUDA Fortran, CULA, CUDA-dgb , please visit our Tools and Ecosystem Page
Download Quick Links [ Windows ] [ Linux ] [ MacOS ]
Windows XP, Windows VISTA, Windows 7
| Description of Download | Link to Binaries | Documents |
| C2050 Support Drivers | download | |
| Developer Drivers for WinXP (257.21) | 32-bit 64-bit | |
| Developer Drivers for WinVista and Win7 (257.21) | 32-bit 64-bit | |
| Notebook Developer Drivers for WinXP (257.21) | 32-bit 64-bit | |
| Notebook Developer Drivers for WinVista and Win7 (257.21) | 32-bit 64-bit | |
CUDA Toolkit
*New*Updated versions of the CUDA C Programming Guide (Version 3.1.1) and the Fermi Tuning Guide (Version 1.2) are available via the links to the right. | 32-bit 64-bit | Getting Started Guide Windows Release Notes *Updated*CUDA C Programming Guide CUDA C Best Practices Guide OpenCL Programming Guide OpenCL BestPractices Guide OpenCL Implementation Notes CUDA Reference Manual API Reference PTX ISA 2.1 Visual Profiler User Guide Visual Profiler Release Notes Fermi Compatibility Guide *Updated*Fermi Tuning Guide CUBLAS User Guide CUFFT User Guide CUDA Developer Guide for Optimus Platforms License |
| NVIDIA Performance Primitives (NPP) library | 32-bit 64-bit | NPP Release Notes NPP License |
| GPU Computing SDK code samples | 32-bit 64-bit | OpenCL Release Notes CUDA C/C++ Release Notes DirectCompute Release Notes CUDA Occupancy Calculator License |
| NVIDIA OpenCL Extensions | Compiler_Options D3D9 Sharing D3D10 Sharing D3D11 Sharing Device Attribute Query Pragma Unroll |
Linux
| Description of Download | Link to Binaries | Documents |
| Developer Drivers for Linux (256.40) | 32-bit 64-bit | README_Linux.txt |
CUDA Toolkit
*New*Updated versions of the CUDA C Programming Guide (Version 3.1.1) and the Fermi Tuning Guide (Version 1.2) are available via the links to the right. | Getting Started Guide Linux Release Notes *Updated*CUDA C Programming Guide CUDA C Best Practices Guide OpenCL Programming Guide OpenCL BestPractices Guide OpenCL Implementation Notes CUDA Reference Manual API Reference PTX ISA 2.1 CUDA-GDB User Manual Visual Profiler User Guide Visual Profiler Release Notes Fermi Compatibility Guide *Updated*Fermi Tuning Guide CUBLAS User Guide CUFFT User Guide CUDA Developer Guide for Optimus Platforms License | |
| CUDA Toolkit for Fedora 12 | 32-bit 64-bit | |
| CUDA Toolkit for RedHat Enterprise Linux 5.4 | 32-bit 64-bit | |
| CUDA Toolkit for Ubuntu Linux 9.10 | 32-bit 64-bit | |
| CUDA Toolkit for RedHat Enterprise Linux 4.8 | 32-bit 64-bit | |
| CUDA Toolkit for OpenSUSE 11.2 | 32-bit 64-bit | |
| CUDA Toolkit for SUSE Linux Enterprise Desktop 11 | 32-bit 64-bit | |
| NVIDIA Performance Primitives (NPP) library | 32-bit 64-bit | NPP Release Notes NPP License |
| GPU Computing SDK code samples | download | CUDA C/C++ Release Notes CUDA Occupancy Calculator License |
| NVIDIA OpenCL Extensions | Compiler_Options D3D9 Sharing D3D10 Sharing D3D11 Sharing Device Attribute Query Pragma Unroll |
MacOS
| Description of Download | Link to Binaries | Documents |
| Developer Drivers for MacOS | download | Getting Started Guide Mac Release Notes *Updated*CUDA C Programming Guide CUDA C Best Practices Guide CUDA Reference Manual API Reference PTX ISA 2.1 Visual Profiler User Guide Visual Profiler Release Notes Fermi Compatibility Guide *Updated*Fermi Tuning Guide CUBLAS User Guide CUFFT User Guide CUDA Developer Guide for Optimus Platforms License |
CUDA Toolkit
| download | |
| GPU Computing SDK code samples | download | CUDA C/C++ Release Notes CUDA Occupancy Calculator License |
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