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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.
NVWMI – NVIDIA Enterprise Management Toolkit; GameWorks PhysX – is a multi-platform game physics engine; 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:
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]
Nvidia's proprietary driver, Nvidia GeForce driver for GeForce, is available for Windows x86/x86-64, Linux x86/x86-64/ARM, OS X 10.5 and later, Solaris x86/x86-64 and FreeBSD x86/x86-64. A current version can be downloaded from the Internet, and some Linux distributions contain it in their repositories. The 4 October 2013 beta Nvidia GeForce ...
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.
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The setp.cc.type instruction sets a predicate register to the result of comparing two registers of appropriate type, there is also a set instruction, where set.le.u32.u64 %r101, %rd12, %rd28 sets the 32-bit register %r101 to 0xffffffff if the 64-bit register %rd12 is less than or equal to the 64-bit register %rd28. Otherwise %r101 is set to ...
10.8B 6.6B 4.7B Transistor density 24.7 MTr/mm 2: 25.0 MTr/mm 2: 24.3 MTr/mm 2: 23.2 MTr/mm 2: 23.5 MTr/mm 2: Graphics processing clusters 6 6 3 3 2 Streaming multiprocessors 72 48 36 24 16 CUDA cores: 4608 3072 2304 1536 1024 Texture mapping units: 288 192 144 96 64 Render output units: 96 64 64 48 32 Tensor cores: 576 384 288 — RT cores: 72 ...