• CUDA

  • Referenced in 1185 articles [sw03258]
  • NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building ... CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging...
  • CUBLAS

  • Referenced in 75 articles [sw06880]
  • Linear Algebra Subprograms) on top of the NVIDIA®CUDA™ runtime. It allows the user ... access the computational resources of NVIDIA Graphics Processing Unit (GPU), but does not auto-parallelize...
  • cuFFT

  • Referenced in 24 articles [sw11258]
  • This document describes cuFFT, the NVIDIA® CUDA™ Fast Fourier Transform (FFT) product. It consists ... designed to provide high performance on NVIDIA GPUs. The cuFFTW library is provided ... enable users of FFTW to start using NVIDIA GPUs with a minimum amount of effort ... simple interface for computing FFTs on an NVIDIA GPU, which allows users to quickly leverage...
  • CUSPARSE

  • Referenced in 42 articles [sw07887]
  • implemented on top of the NVIDIA® CUDA™ runtime (which is part of the CUDA Toolkit...
  • Gaalop

  • Referenced in 27 articles [sw00313]
  • gate arrays) or the CUDA technology from NVIDIA. We describe the concepts, current status...
  • cuRAND

  • Referenced in 19 articles [sw11536]
  • NVIDIA CUDA Random Number Generation library (cuRAND) delivers high performance GPU-accelerated random number generation ... using hundreds of processor cores available in NVIDIA GPUs. cuRAND also provides two flexible interfaces...
  • PyCUDA

  • Referenced in 17 articles [sw09005]
  • PyCUDA gives you easy, Pythonic access to Nvidia‘s CUDA parallel computation API. Several wrappers ... CUDA programming even more convenient than with Nvidia’s C-based runtime. Completeness. PyCUDA puts...
  • GPUTeraSort

  • Referenced in 14 articles [sw12706]
  • Pentium IV PC with $300 NVIDIA 7800 GT GPU indicate a significant performance improvement over...
  • SELL_C_sigma

  • Referenced in 11 articles [sw11232]
  • Intel Sandy Bridge, Intel Xeon Phi, and Nvidia Tesla K20) for a wide range...
  • CULA

  • Referenced in 11 articles [sw12745]
  • squares. The GPU execution model featured by NVIDIA GPUs based on CUDA demands very strong...
  • SSD

  • Referenced in 10 articles [sw26652]
  • VOC2007 test at 58 FPS on a Nvidia Titan X and for 500×500 input...
  • clSpMV

  • Referenced in 9 articles [sw12638]
  • input sparse matrices on both Nvidia and AMD platforms, and deliver 83% higher performance compared...
  • CholQR

  • Referenced in 9 articles [sw13049]
  • communication. As a result, with a latest NVIDIA GPU, the mixed-precision CholQR was only...
  • hiCUDA

  • Referenced in 6 articles [sw12727]
  • hiCUDA (for high-level CUDA) for programming NVIDIA GPUs. It provides a programmer with high ... using the existing CUDA compiler toolchain from NVIDIA. There are two aspects of hiCUDA...
  • gputools

  • Referenced in 6 articles [sw14139]
  • Using R and the CUDA toolkit from Nvidia, we have implemented several functions commonly used ... better performance provided by an Nvidia GPU. Availability: The package is available from CRAN...
  • cudaBayesreg

  • Referenced in 6 articles [sw24712]
  • massively parallel high-performance computing on NVIDIA GPUs. This package provides a CUDA implementation ... package bayesm. A notebook equipped with a NVIDIA ‘GeForce 8400M GS’ card having Compute Capability...
  • GPU Quicksort

  • Referenced in 8 articles [sw12707]
  • processors, but we show that in CUDA, NVIDIA’s programing platform for general-purpose computations...
  • QUDA

  • Referenced in 7 articles [sw14040]
  • graphics processing units (GPUs), leveraging NVIDIA’s CUDA platform. The current release includes optimized Dirac...
  • Sailfish

  • Referenced in 7 articles [sw16828]
  • performance benchmarks spanning the last three NVIDIA GPU generations (Tesla, Fermi, Kepler), which we hope...
  • STOCHSIMGPU

  • Referenced in 6 articles [sw10711]
  • from using the computational power of your NVIDIA CUDA GPU without changing your model code...