Pinned Repositories
data-logistics-service
eFlows4HPC Data Logistics Service
datacatalog
dislib-block-size-estimation
This repository contains the modules implementing a Machine Learning-based solution for optimizing the execution of dislib algorithms. In particular, a stacked classification model is leveraged to predict the most suitable value of the block-size parameter for the execution of dislib algorithms.
hecuba
Hecuba is a set of tools and interfaces that provides programmers with an efficient and easy interaction with non-relational technologies.
hpcwaas-api
eflows4HPC REST API to trigger workflows
image_creation
Service for creating container images for eFlows4HPC platform
ParSoDA-Py
Parallel Social Data Analytics library for Python
software-catalog
This repository stores the description of the software
workflow-registry
Registry to store workflow descriptions
WP2-Action-Items
Optimization of runtime and libraries, workflow deployment, resource management, and data management
eFlows4HPC project's Repositories
eflows4hpc/workflow-registry
Registry to store workflow descriptions
eflows4hpc/hpcwaas-api
eflows4HPC REST API to trigger workflows
eflows4hpc/image_creation
Service for creating container images for eFlows4HPC platform
eflows4hpc/ACM_Summer_School_2023
eflows4hpc/data-logistics-service
eFlows4HPC Data Logistics Service
eflows4hpc/datacatalog
eflows4hpc/dislib-block-size-estimation
This repository contains the modules implementing a Machine Learning-based solution for optimizing the execution of dislib algorithms. In particular, a stacked classification model is leveraged to predict the most suitable value of the block-size parameter for the execution of dislib algorithms.
eflows4hpc/hecuba
Hecuba is a set of tools and interfaces that provides programmers with an efficient and easy interaction with non-relational technologies.
eflows4hpc/ParSoDA-Py
Parallel Social Data Analytics library for Python
eflows4hpc/dislib
The Distributed Computing library for python implemented using PyCOMPSs programming model for HPC.
eflows4hpc/dls-dags
DAGs for the DLS
eflows4hpc/documentation
eflows4hpc/heat
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
eflows4hpc/PyOphidia
Python library of the Ophidia framework
eflows4hpc/software-catalog
This repository stores the description of the software
eflows4hpc/.github
eflows4hpc/compss
COMP Superscalar (COMPSs) is a framework which aims to ease the development and execution of applications for distributed infrastructures, such as Clusters, Grids and Clouds.
eflows4hpc/ConvLIB
ConvLIB is a library of convolution kernels for multicore processors with ARM (NEON) or RISC-V architecture
eflows4hpc/dataclay
Python distributed data store that enables remotely access and method execution.
eflows4hpc/dls-tosca
TOSCA Components to integrate with the Data Logistics Service
eflows4hpc/eddl
European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.
eflows4hpc/ML_tsunamis
eflows4hpc/mlesmap
eflows4hpc/model-repository
Model Repository
eflows4hpc/ophidia-analytics-framework
Core modules and operators of the Ophidia framework
eflows4hpc/ophidia-io-server
In-memory IO server of the Ophidia framework
eflows4hpc/ophidia-primitives
Array-based primitives for the Ophidia framework
eflows4hpc/ophidia-server
Front-end server of the Ophidia framework
eflows4hpc/ptf_workflow
Probabilistic Tsunami Forecasting (PTF) is a procedure for providing rapid forecasts of tsunami threat following a large earthquake, treating data- and forecast-uncertainties explicitly.
eflows4hpc/ucis4eq
Urgent Computing Integrated Services for EarthQuakes