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on Windows, the directory structure has a Windows syntax, and each file path must be separated by a semicolon (";"). This does not apply when the Classpath is defined in manifest files, where each file path must be separated by a space (" "), regardless of the operating system.
APT uses a location configuration file (/etc/apt/sources.list) to locate the desired packages, which might be available on the network or a removable storage medium, for example, and retrieve them, and also obtain information about available (but not installed) packages.
In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
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.
The Quick Emulator (QEMU) [4] is a free and open-source emulator that uses dynamic binary translation to emulate a computer's processor; that is, it translates the emulated binary codes to an equivalent binary format which is executed by the machine.
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A path is generated through the symbolic states of the game. GOAP was invented in 2005 for controlling non-player characters in the game F.E.A.R. [20] Goal stack, in a cognitve architecture a goal stack is similar to a rule stack and the working memory a module in the problem solving process. The STRIPS symbolic language is using a goal stack ...
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]