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CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.
Open core: Full version under Apache License 2.0: Yes Yes Yes Unknown Yes Yes (full version only) Yes (full version only) Yes Yes PEP 8 and others Yes Yes Yes Yes Yes PyDev / LiClipse (plug-in for Eclipse and Aptana) Appcelerator: 7.5.0 2020-01-10 Windows, Linux, macOS, FreeBSD, JVM, Solaris: Python: SWT: EPL: Yes Yes
CUDA provides both a low level API (CUDA Driver API, non single-source) and a higher level API (CUDA Runtime API, single-source). The initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. Mac OS X support was later added in version 2.0, [18] which supersedes the beta released February 14, 2008. [19]
IBM Lotus Symphony a set of applications free of charge: a word processor, a spreadsheet program, and a presentation program, each based on OpenOffice.org; IBM Notes (since version 8), a client-server collaborative application platform, used for enterprise email and calendaring, as well as for collaborative business applications.
A 1.3 level Java runtime or Java development kit must be installed on the machine in order to run this version of Eclipse. [28] N/A: 18 September 2002 [29] 2.0 N/A: 15 April 2003 [30] 2.1 A 1.4 level Java runtime or Java development kit (JDK) can also be used to run Eclipse.
The free software GNU toolchain (including GNU Compiler Collection (GCC), GNU Debugger (GDB), and GNU make) is available on many platforms, including Windows. [15] The pervasive Unix philosophy of "everything is a text stream" enables developers who favor command-line oriented tools to use editors with support for many of the standard Unix and ...
rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA application programming interface ( API ), it allows the allocation of one or more CUDA-enabled GPUs to a single application.
To support specified character encoding, the editor must be able to load, save, view and edit text in the specific encoding and not destroy any characters. For UTF-8 and UTF-16, this requires internal 16-bit character support. Partial support is indicated if: 1) the editor can only convert the character encoding to internal (8-bit) format for ...