dsc-spidal Goto Github PK

applications

applications and pre processing programs used in SPIDAL

benchmarks

A summary and classification of big data benchmarks

common

Common classes used by other projects in DSC-SPIDAL

csharp

The legacy code for different algorithms were C# based and this serves as the repository for all of them.

cylon

Cyclon provides accelerated data operations with CPP/Java/Python APIs

damds

MPI Implementation of WDA-SMACOF

damds.flink

Flink implementation of damds

damds.spark

Spark implementation of Weighted Deterministic Annealing SMACOF implementation

dapwc

Deterministic Annealing Pairwise Clustering

dataapi

Data API

davs

Deterministic Annealing Vector Sponge

dgx

dl-hec

Deep Learning for Hydrology Earthquake and Covid Application

doc

dsc-spidal.github.io

https://dsc-spidal.github.io/

e599-high-performance-big-data

E599 high performance big data

earthquake

examples

Sample directory for various SPIDAL applicatoins

federated-learning

flink-apps

Flink data processing operations

harp

A collective communication library plugined into Hadoop

harp-test

harpc

harpgbdt

Optimizing Gradient Boosting Decision Tree

harplda

Optimizations for LDA(Latent Dirichlet Allocation)

heron

Heron is a realtime, distributed, fault-tolerant stream processing engine from Twitter

indy500

Distributed streaming utility based on Apache Storm for anomaly detection using Numenta's HTM

indycar

infomall-org-uva

https://infomall.org

jstorm

Java Storm