• PVM

  • Referenced in 307 articles [sw04273]
  • Parallel Virtual Machine) is a software package that permits a heterogeneous collection of Unix and/or ... together by a network to be used as a single large parallel computer. Thus large...
  • NEURON

  • Referenced in 187 articles [sw03059]
  • environment has been extended to support parallel network simulations. Each processor integrates the equations ... connection delay. The performance of three published network models with very different spike patterns exhibits ... magnitude makes practical the running of large network simulations that could otherwise not be explored...
  • GloMoSim

  • Referenced in 60 articles [sw13764]
  • GloMoSim: A Library for Parallel Simulation of Large-scale Wireless Networks. A number of library...
  • Neural Network Toolbox

  • Referenced in 178 articles [sw07378]
  • simulate neural networks. You can use Neural Network Toolbox for applications such as data fitting ... control. To speed up training and handle large data sets, you can distribute computations ... multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox...
  • PEPS

  • Referenced in 34 articles [sw03186]
  • Parallel Systems(PEPS). PEPS is a software tool used to analyze Stochastic Automata Networks ... execution time becomesimpracticable when analyzing large SAN models. A parallel version of the PEPStool using...
  • EpiSimdemics

  • Referenced in 7 articles [sw36952]
  • spread of infectious disease over large realistic social networks. Preventing and controlling outbreaks of infectious ... parallel algorithm to simulate the spread of contagion in large, realistic social contact networks using ... disease propagation in large networks. We evaluate an MPI-based parallel implementation of EpiSimdemics...
  • KORBX

  • Referenced in 56 articles [sw04341]
  • solving large-scale linear programs. The system consists of both hardware, which uses parallel processing ... using MPSX and XMP; and some pure network problems were solved using NETFLO, MPSX...
  • FLASH

  • Referenced in 73 articles [sw17500]
  • equations of state and thermonuclear reaction networks. The FLASH code was developed to study ... code has been subjected to a large variety of test cases and is currently being ... runs on a wide variety of massively parallel machines, including some of the largest machines...
  • HPPNetSim

  • Referenced in 2 articles [sw20523]
  • HPPNetSim: a parallel simulation of large-scale interconnection networks. As the scale of parallel machine ... parallel applications. Parallel interconnection network simulator is a suitable tool to study large-scale interconnection ... cycle network models is a really challenge work. We implement a kernel-based parallel simulator ... large-scale simulations, so we chose conservative synchronization approach. Simulation kernel and network models...
  • NetworKit

  • Referenced in 13 articles [sw35938]
  • provide tools for the analysis of large networks in the size range from thousands ... implements efficient graph algorithms, many of them parallel to utilize multicore architectures. These are meant...
  • SYMPHONY

  • Referenced in 36 articles [sw04718]
  • algorithms to undertake the solution of very large-scale DOPs; however, it also leads ... SYMPHONY (Single- or Multi-Process Optimization over Networks), address these challenges. They are an attempt ... learned about implementing BCP, both sequential and parallel, and to provide a useful reference...
  • SchNetPack

  • Referenced in 5 articles [sw25772]
  • neural networks to large datasets with millions of reference calculations as well as parallelize ... that are not yet familiar with neural networks...
  • PGAPack

  • Referenced in 16 articles [sw04922]
  • Runs on uniprocessors, parallel computers, and workstation networks. Binary-, integer-, and real- and character-valued ... access for expert users. Extensive debugging facilities. Large set of example problems. Detailed users guide...
  • HPL

  • Referenced in 10 articles [sw21404]
  • large variety of factors. Nonetheless, with some restrictive assumptions on the interconnection network, the algorithm ... scalable in the sense that their parallel efficiency is maintained constant with respect ... BLAS and VSIPL are available for a large variety of systems...
  • GUM

  • Referenced in 13 articles [sw09417]
  • functional language. Despite sustained research interest in parallel functional programming ... memory (Sun SPARCserver multiprocessors) and distributed-memory (networks of workstations) architectures. The high message-latency ... sending messages asynchronously, and by sending large packets of related data in each message.Initial performance ... technology. To improve the performance of a parallel Haskell program GUM provides tools for monitoring...
  • PyTorch-BigGraph

  • Referenced in 4 articles [sw34086]
  • parallelization on multiple machines. We train and evaluate embeddings on several large social network graphs...
  • ScaFaCoS

  • Referenced in 5 articles [sw12730]
  • network project of German research groups working on a unified parallel library for various methods ... solve electrostatic (and gravitational) problems in large particle simulations. The main focus of the project...
  • ROSS

  • Referenced in 4 articles [sw22032]
  • second when simulating a wireless telephone network model (PCS) on a quad processor PC server ... parallel execution. These characteristics make ROSS an ideal system for use in large-scale networking...
  • Data2Dynamics

  • Referenced in 12 articles [sw25272]
  • construct dynamical models of biochemical reaction networks for large datasets and complex experimental conditions ... associated sensitivity system are parallelized and automatically compiled into efficient C code. A variety...
  • D3M

  • Referenced in 11 articles [sw42185]
  • design a multi-fidelity neural network framework to solve this optimization problem. Our contribution ... computational procedure for the underlying problem in parallel with domain decomposition. Our analysis shows that ... foundation to use variational deep learning in large-scale engineering problems and designs. We present...