• OpenGL

  • Referenced in 138 articles [sw06740]
  • interact with a Graphics processing unit (GPU), to achieve hardware-accelerated rendering. OpenGL was developed...
  • CPN/Tools

  • Referenced in 28 articles [sw01261]
  • greater functionality. CPN/Tools requires an OpenGL graphics accelerator and will run on all major platforms...
  • DualSPHysics

  • Referenced in 61 articles [sw17653]
  • particle hydrodynamics (SPH). DualSPHysics is a hardware accelerated Smoothed Particle Hydrodynamics code developed to solve ... power computing of Graphics Computing Units (GPUs) is used to accelerate DualSPHysics...
  • kdtree++

  • Referenced in 11 articles [sw28526]
  • high performance 3D peridynamic model on graphics accelerators. Parallel processing is one of the major ... multi- and many-core architectures. The graphics processing units (GPUs) are gaining more and more...
  • OsiriX

  • Referenced in 11 articles [sw16649]
  • taking advantage of any hardware graphic accelerator boards available. In the design of the software...
  • GeNN

  • Referenced in 5 articles [sw26943]
  • GeNN: a code generation framework for accelerated brain simulations. Large-scale numerical simulations of detailed ... aims to facilitate the use of graphics accelerators for computational models of large-scale neuronal...
  • Chromium

  • Referenced in 5 articles [sw14150]
  • same applications while using only commodity graphics accelerators. In addition, these stream filters ... processing technology. By completely abstracting the underlying graphics architecture, network topology, and API command processing...
  • rSGDLM

  • Referenced in 10 articles [sw34467]
  • learning of the Simultaneous Graphical DLM presented in GPU-Accelerated Bayesian Learning and Forecasting...
  • rms

  • Referenced in 100 articles [sw04532]
  • Modeling Strategies , Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model ... binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear models...
  • CULA

  • Referenced in 11 articles [sw12745]
  • CULA: Hybrid GPU accelerated linear algebra routines. The modern graphics processing unit (GPU) found ... work is on CULA, a GPU accelerated implementation of linear algebra routines. We present results...
  • VirtualGL

  • Referenced in 1 article [sw18644]
  • server (indirect rendering) supports 3D hardware acceleration, but this approach causes all of the OpenGL ... instead redirected to a 3D graphics accelerator (AKA ”graphics processing unit...
  • CUDAEASY

  • Referenced in 4 articles [sw00176]
  • author’s knowledge, the first graphics processing unit (GPU) accelerated program that solves the evolution...
  • flare

  • Referenced in 21 articles [sw12406]
  • stage screening approach is adopted for further acceleration. Besides the sparse linear model estimation ... these Lasso variants to sparse Gaussian graphical model estimation including TIGER and CLIME using either...
  • MPSGPU-SJTU

  • Referenced in 2 articles [sw29217]
  • overcome this disadvantage, a novel acceleration technique, graphics processing unit (GPU) parallel computing, is applied ... efficiency is improved dramatically by employing GPU acceleration technique...
  • PyCOOL

  • Referenced in 3 articles [sw31351]
  • simulations. This paper presents a graphics processing unit (GPU) accelerated Python program called PyCOOL that ... also compared the performance of a consumer graphics card to a professional Tesla compute card...
  • Alinea

  • Referenced in 4 articles [sw30938]
  • processing unit. A graphics processing unit can be used to accelerate these computations. In this ... systems. For both central processing unit and graphic processing unit devices, there are different matrix...
  • DistStat.jl

  • Referenced in 1 article [sw36529]
  • multiple nodes in cluster supercomputing environments. Acceleration via graphics processing units (GPUs) requires to write...
  • ITER-REF

  • Referenced in 16 articles [sw10290]
  • Accelerating scientific computations with mixed precision algorithms. On modern architectures, the performance ... such as Field Programmable Gate Arrays (FPGA), Graphical Processing Units (GPU), and the STI Cell...
  • FortranCL

  • Referenced in 1 article [sw25509]
  • Fortran, so developers can accelerate their Fortran code using graphical processing units (GPU) and other...
  • ESTIMA

  • Referenced in 15 articles [sw00249]
  • user friendly pre- and post-processing graphical tools to rapidly determine the model quality. ESTIMA ... developmental environment to researchers and engineers to accelerate efficient model development process. This paper highlights...