Distributed Computing

71 papers with code • 0 benchmarks • 1 datasets

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Use these libraries to find Distributed Computing models and implementations
2 papers
2 papers


Most implemented papers

Optuna: A Next-generation Hyperparameter Optimization Framework

pfnet/optuna 25 Jul 2019

We will present the design-techniques that became necessary in the development of the software that meets the above criteria, and demonstrate the power of our new design through experimental results and real world applications.

A System for Massively Parallel Hyperparameter Tuning

liamcli/darts_asha ICLR 2018

Modern learning models are characterized by large hyperparameter spaces and long training times.

FedML: A Research Library and Benchmark for Federated Machine Learning

chaoyanghe/Awesome-Federated-Learning 27 Jul 2020

Federated learning (FL) is a rapidly growing research field in machine learning.

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

gingsmith/cocoa 7 Nov 2016

The scale of modern datasets necessitates the development of efficient distributed optimization methods for machine learning.

Billion-scale Network Embedding with Iterative Random Projection

ZW-ZHANG/RandNE 7 May 2018

Network embedding, which learns low-dimensional vector representation for nodes in the network, has attracted considerable research attention recently.

Orchestral: a lightweight framework for parallel simulations of cell-cell communication

Aratz/orchestral 28 Jun 2018

By the use of operator-splitting we decouple the simulation of reaction-diffusion kinetics inside the cells from the simulation of molecular cell-cell interactions occurring on the boundaries between cells.

Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering

zhanglabtools/dbmd 10 Feb 2020

Such a method should scale up well, model the heterogeneous noise, and address the communication issue in a distributed system.

Data-Juicer: A One-Stop Data Processing System for Large Language Models

alibaba/data-juicer 5 Sep 2023

A data recipe is a mixture of data from different sources for training LLMs, which plays a vital role in LLMs' performance.

Scalable Agent-Based Modeling for Complex Financial Market Simulations

aaron-wheeler/tradingagents.jl 22 Dec 2023

To the best of our knowledge, this study is the first to implement multiple assets, parallel agent decision-making, a continuous double auction mechanism, and intelligent agent types in a scalable real-time environment.

Computing High Accuracy Power Spectra with Pico

marius311/pypico 2 Dec 2007

This paper presents the second release of Pico (Parameters for the Impatient COsmologist).