Definition, Meaning & Anagrams | English word CUDA

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Definitions of CUDA

1. (computing) Acronym of Compute Unified Device Architecture.

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Examples of Using CUDA in a Sentence

• Heterogeneous(-compute) Interface for Portability, a parallel (GPU) computing platform by AMD and an alternative to CUDA by Nvidia.
• Linaro DDT also supports coprocessor architectures such as Intel Xeon Phi coprocessors and Nvidia CUDA GPUs.
• In this framework, the problem is either divided over many cores on a single CPU node (such as with OpenMP), divided over many CPU nodes networked together (such as with MPI), or is run on one or more GPUs (typically using either CUDA or OpenCL).
• Nvidia launched CUDA in 2006, a software development kit (SDK) and application programming interface (API) that allows using the programming language C to code algorithms for execution on GeForce 8 series and later GPUs.
• This was aided by the maturing of GPGPU programming toolkits such as CUDA and OpenCL and GPU ray tracing SDKs such as OptiX.
• The Master Thesis, "Fast Triangle Rasterization using irregular Z-buffer on CUDA" (see External Links), provide a complete description to an irregular Z-Buffer based shadow mapping software implementation on CUDA.
• In 2013, a survey paper on visualization for radiotherapy noticed that while VTK is a powerful and widely known toolkit, it lacked a number of important features, such as multivolume rendering, had no support of proprietary CUDA from NVidia, no support of out-of-core rendering and no native support for visualization of time-dependent volumetric data.
• NVIDIA's 8800 GPU running under CUDA provides 16 KB of scratchpad (NVIDIA calls it Shared Memory) per thread-bundle when being used for GPGPU tasks.
• The code has been designed to run on large clusters of GPU (NVIDIA graphics processors), so parallelization relies on MPI for distributed memory processing, as well as the programing language CUDA for efficient usage of GPU resources.
• It contains 7 billion transistors and 8 custom ARMv8 cores, a Volta GPU with 512 CUDA cores, an open sourced TPU (Tensor Processing Unit) called DLA (Deep Learning Accelerator).
• The refreshed Fermi chip includes 512 stream processors, grouped in 16 stream multiprocessors clusters (each with 32 CUDA cores), and is manufactured by TSMC in a 40 nm process.
• Users include the Intel C++ compiler, Microsoft Visual C++ (IntelliSense), NVIDIA CUDA Compiler, SGI MIPSpro, The Portland Group, and Comeau C++.
• Includes the required environment to crack passwords using GPGPU with openCL and CUDA configured 'out of the box'.
• The layout of SMM units is partitioned so that each of the four warp schedulers controls isolated FP32 CUDA cores, load/store units and special function units, unlike Kepler, where the warp schedulers share the resources.
• The structure of the warp scheduler was inherited from Kepler, with the texture units and FP64 CUDA cores still shared, but the layout of most execution units were partitioned so that each warp schedulers in an SMM controls one set of 32 FP32 CUDA cores, one set of 8 load/store units and one set of 8 special function units.
• A specifically convenient hardware platform that has the ability to simultaneous perform both parallel and concurrent DFT implementation techniques that is highly amenable to are GPUs due to common GPUs having both a separate set of multithreaded SIMD processors (which are referred to as "streaming multiprocessors" in the CUDA programming language, and "compute units" in the OpenCL language) and individual SIMD lanes (commonly referred to loosely as a "core", or more specifically a CUDA "thread processor" or as an OpenCL "processing element") within each multithreaded SIMD processor.
• Nvidia provides a C/C++-centered frontend and its Parallel Thread Execution (PTX) LLVM GPU backend as the Nvidia CUDA Compiler (NVCC).

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