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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.
CUDA 9.0–9.2 comes with these other components: CUTLASS 1.0 – custom linear algebra algorithms, NVIDIA Video Decoder was deprecated in CUDA 9.2; it is now available in NVIDIA Video Codec SDK; CUDA 10 comes with these other components: nvJPEG – Hybrid (CPU and GPU) JPEG processing; CUDA 11.0–11.8 comes with these other components: [20 ...
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.
An open-source compiler that includes a static analyzer. As of version 3.2, this analyzer is included in Xcode. [2] [3] Coccinelle: 2021-09-06 (1.1.1) Yes; GPLv2 — C — — — — — An open-source source code pattern matching and transformation. Code Dx (Defunct 2021) 2015-01-15 No; proprietary — C, C++, C# Java, JSP, Scala: JavaScript ...
The current version of rCUDA (v20.07) supports CUDA version 9.0, excluding graphics interoperability. rCUDA v20.07 targets the Linux OS (for 64-bit architectures) on both client and server sides. CUDA applications do not need any change in their source code in order to be executed with rCUDA.
MyEclipse has two primary versions (apart from the Blue Edition, [3] Spring Edition, [4] and Bling Edition referred to below): a Professional and a Standard edition. [5] The Standard edition adds database tools, a visual web designer, persistence tools, Spring tools, Struts and JSF tooling, and a number of other features to the basic Eclipse ...
Yes, until version 4.5.25 and since version 5.5.0 [51] Yes, since version 5.0.0 [52] Yes, for Python 2 & 3 Yes: Qt Creator: Unknown Yes Yes Yes Multiple integrated checkers and Pylint via plug-in Yes Yes Yes Subversion and Mercurial (core plug-ins), git (optional plug-in) Django as optional plug-in Geany: Team 1.37.1 2020-11-08
Intel oneAPI DPC++/C++ Compiler is available for Windows and Linux and supports compiling C, C++, SYCL, and Data Parallel C++ (DPC++) source, targeting Intel IA-32, Intel 64 (aka x86-64), Core, Xeon, and Xeon Scalable processors, as well as GPUs including Intel Processor Graphics Gen9 and above, Intel X e architecture, and Intel Programmable Acceleration Card with Intel Arria 10 GX FPGA. [5]