Here you can download drivers for DisplayLink USB graphics chipsets incorporated in your dock, adapter or monitor. We recommend to update to the latest driver to address any potential security issue, fix bugs, improve performance and add new features.
Virtual COM port (VCP) drivers cause the USB device to appear as an additional COM port available to the PC. Application software can access the USB device in the This page contains the VCP drivers currently available for FTDI devices.
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Virtual COM port (VCP) drivers cause the USB device to appear as an additional COM port available to the PC. Application software can access the USB device in the same way as it would access a standard COM port.
***Windows 10 and Windows 11 only. Universal Windows Drivers enable developers to create a single driver package that runs across multiple different device types, from embedded systems to tablets and desktop PCs.
The CP210x USB to UART Bridge Virtual COM Port (VCP) drivers are required for device operation as a Virtual COM Port to facilitate host communication with CP210x products. These devices can also interface to a host using the direct access driver.
The CP210x Manufacturing DLL and Runtime DLL have been updated and must be used with v 6.0 and later of the CP210x Windows VCP Driver. Application Note Software downloads affected are AN144SW.zip, AN205SW.zip and AN223SW.zip. If you are using a 5.x driver and need support you can download Legacy OS Software.
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Microsoft ODBC Driver for SQL Server is a single dynamic-link library (DLL) containing run-time support for applications using native-code APIs to connect to SQL Server. Use Microsoft ODBC Driver 18 for SQL Server to create new applications or enhance existing applications that need to take advantage of newer SQL Server features.
Version 17.10.6 is the latest general availability (GA) version of the 17.x driver. If you have a previous version of Microsoft ODBC Driver 17 for SQL Server installed, installing 17.10.6 upgrades it to 17.10.6.
Drive a tractor-trailer combination or a truck with a capacity of at least 26,001 pounds Gross Vehicle Weight (GVW). May be required to unload truck. Requires commercial drivers' license. Includes tow truck drivers.
Aims: The mechanisms underlying persistent atrial fibrillation (AF) in patients with atrial fibrosis are poorly understood. The goal of this study was to use patient-derived atrial models to test the hypothesis that AF re-entrant drivers (RDs) persist only in regions with specific fibrosis patterns.
Renesas also offers compact IO-link line drivers with high-voltage I/O channels to meet the physical layer requirements of sensor and actuator systems used in factory and process automation applications. These devices provide a wide range of configurable system features and operations in harsh environments.
The SPSV+ App is the easiest and fastest way for SPSV licence holders to complete their required notifications on the go. Once you have registered you can use this app to add and update driver to vehicle links and rental agreements.
Mac OS users:
You don't have to install this driver software. Mac OS standard driver will be automatically installed when your CDJ/XDJ is connected to your Mac with a USB cable.
Source files for CUDA applications consist of a mixture of conventional C++ host code, plus GPU device functions. The CUDA compilation trajectory separates the device functions from the host code, compiles the device functions using the proprietary NVIDIA compilers and assembler, compiles the host code using a C++ host compiler that is available, and afterwards embeds the compiled GPU functions as fatbinary images in the host object file. In the linking stage, specific CUDA runtime libraries are added for supporting remote SPMD procedure calling and for providing explicit GPU manipulation such as allocation of GPU memory buffers and host-GPU data transfer.
The compilation trajectory involves several splitting, compilation, preprocessing, and merging steps for each CUDA source file. It is the purpose of nvcc, the CUDA compiler driver, to hide the intricate details of CUDA compilation from developers. It accepts a range of conventional compiler options, such as for defining macros and include/library paths, and for steering the compilation process. All non-CUDA compilation steps are forwarded to a C++ host compiler that is supported by nvcc, and nvcc translates its options to appropriate host compiler command line options.
CUDA programs are compiled in the whole program compilation mode by default, i.e., the device code cannot reference an entity from a separate file. In the whole program compilation mode, device link steps have no effect. For more information on the separate compilation and the whole program compilation, see Using Separate Compilation in CUDA.
The host compiler executable name can be also specified to ensure that the correct host compiler is selected. In addition, driver prefix options (--input-drive-prefix, --dependency-drive-prefix, or --drive-prefix) may need to be specified, if nvcc is executed in a Cygwin shell or a MinGW shell on Windows.
a_dlink.obj on Windows or a_dlink.o on other platforms is used as the default output file name. When this option is used in conjunction with --fatbin, a_dlink.fatbin is used as the default output file name. When this option is used in conjunction with --cubin, a_dlink.cubin is used as the default output file name.
Compile CUDA source to OptiX IR (.optixir) output. The OptiX IR is only intended for consumption by OptiX through appropriate APIs. This feature is not supported with link-time-optimization (-dlto), the lto_NN -arch target, or with -gencode.
When the input is a single executable, it is executed without any compilation or linking. This step is intended for developers who do not want to be bothered with setting the necessary environment variables; these are set temporarily by nvcc.
Split compilation attempts to reduce compile time by enabling the compiler to run certain optimization passes concurrently. It does this by splitting the device code into smaller translation units, each containing one or more device functions, and running optimization passes on each unit concurrently across multiple threads. It will then link back the split units prior to code generation.The option accepts a numerical value that specifies the maximum number of threads the compiler can use. One can also allow the compiler to use the maximum threads available on the system by setting --split-compile=0. Setting --split-compile=1 will cause this option to be ignored.This option can work in conjunction with device Link Time Optimization (-dlto) as well as --threads.
Prepares a host linker script and enables host linker to support relocatable device object files that are larger in size, that would otherwise, in certain cases, cause the host linker to fail with relocation truncation error.
Generates a host linker script that can be passed to host linker manually, in the case where host linker is invoked separately outside of nvcc. This option can be combined with -shared or -r option to generate linker scripts that can be used while generating host shared libraries or host relocatable links respectively.
A linker script may already be in used and passed to the host linker using the host linker option --script (or -T), then the generated host linker script must augment the existing linker script. In such cases, the option -aug-hls must be used to generate linker script that contains only the augmentation parts. Otherwise, the host linker behaviour is undefined.
When used in combination with -hls=gen-lcs, controls the behaviour of -hls=gen-lcs and sets it to generate host linker script that can be used in host relocatable link (ld -r linkage). See option -hls=gen-lcs for more information.
From this it follows that the virtual architecture should always be chosen as low as possible, thereby maximizing the actual GPUs to run on. The real architecture should be chosen as high as possible (assuming that this always generates better code), but this is only possible with knowledge of the actual GPUs on which the application is expected to run on. As we will see later in the situation of just-in-time compilation, where the driver has this exact knowledge, the runtime GPU is the one on which the program is about to be launched/executed.
This command generates exact code for two Maxwell variants, plus PTX code for use by JIT in case a next-generation GPU is encountered. nvcc organizes its device code in fatbinaries, which are able to hold multiple translations of the same GPU source code. At runtime, the CUDA driver will select the most appropriate translation when the device function is launched.
--gpu-code arguments can be virtual architectures. In this case the stage 2 translation will be omitted for such virtual architecture, and the stage 1 PTX result will be embedded instead. At application launch, and in case the driver does not find a better alternative, the stage 2 compilation will be invoked by the driver with the PTX as input.
CUDA works by embedding device code into host objects. In whole program compilation, it embeds executable device code into the host object. In separate compilation, we embed relocatable device code into the host object, and run nvlink, the device linker, to link all the device code together. The output of nvlink is then linked together with all the host objects by the host linker to form the final executable. 0852c4b9a8
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