Scientific computing library for optics, computer graphics and visual perception
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Updated
Jul 18, 2024 - Python
Scientific computing library for optics, computer graphics and visual perception
Distributed Network Vulnerability Scanner
Distributed segmentation for bio-image-analysis
Concurrent, Asynchronous, Distributed, Communicating Tasks with Python
WAVES is a reusable web application dedicated to bioinformatic tool integration
python flavour of EHOS
A load balancer for Python 3.5
Web based cluster computing apps
Deploying Hadoop and Spark with Docker swarm
Repartition & parallel Data ingestion
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Parallelize any experiment and collect results from their stdout
A work-in-progress pipeline for parallel processing of neuroimaging data on SLURM-based compute cluster
Automatic cluster deployment tool for distributed filesystems in cloud infrastructures
These are important tools written for working with ORCA (a computational chemistry open source package) in a super-computing environment. They include multiple job submission scripts (BASH), multiple job cancellation (BASH), job setup with different geometries (in python), data extraction (BASH), final optimized geometry extraction (BASH) and
Neo4j, Cassandra, Hadoop, PySpark, RDD, MapReduce, Cluster-Computing, DataProc
Docker task execution for existing schedulers/resource managers. Allowing users to run multiple images/containers in parallel as a task submitted to their cluster
Generate eddie3 submission scripts in python
MapReduce, Spark, Hadoop, PostgreSQL, Cluster Management
DRUHG - Dialectical Ranking Universal Hierarchical Grouping (друг)
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