This is a list of my "Tip of the Month" Interactive Brokers Quant Lab contributions

Task Queue in R based on PostgreSQL Database

GPU functionality to the chol function using MAGMA

A cluster-computing platform for R scripts

future.p2p: A Peer-to-Peer Compute Cluster via Futureverse

Repo to demonstrate how to launch parallelized array job in Slurm

[BETA] R package: future.tools - Tools for Working with Futures

a helper package for pomp

The currr package is a wrapper for the purrr::map() family but extends the iteration process with a certain number of checkpoints ( currr = checkpoints + purr), where the evaluated results are saved, and we can always restart from there.

🚀 R package: future.BatchJobs: A Future API for Parallel and Distributed Processing using BatchJobs [Intentionally archived on CRAN on 2021-01-08]

An `R` package that provides a `foreach` parallel adaptor for `parabar` backends.

Finding mutations in genomic data with the use of the chi2 test and Parallel functions in Python and R

Templates and example code used for cluster computing and other high performance computing applications

Multicore and utility functions for Seurat 2 & 3, using doMC / foreach packages.

future.redis: An Elastic Backend for the Future Package using Redis

Examples of parallelized R code

R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel.

R Package, Multivariate p-Value Estimation: MANOVA,Block Independence & Bartlett's M ECM Test,Plus 1-Way MANOVA Study Design

jeksterslabRpar is a collection of helper functions for parallel processing.

groupby. apply. multiprocess. at scale.