Meta Programming Tools
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Updated
Oct 20, 2020 - Julia
Meta Programming Tools
Exploring Julia's Parallel Computing capabilities.
Codes and notebooks for the application of Markov Chain Monte Carlo in spinfoams. Computation of boundary observables, correlation functions and entanglement entropy.
Robust pmap calls for efficient parallelization and high-performance computing
Automated storage and retrieval of results for functions calls
Complex Step Differentiation in Julia
Geostatistical Inversion
Wrappers for arrays to make broadcasted operations multithreaded and multiprocessed for high-performance scientific machine learning (SciML)
COnstraint Based Reconstruction and EXascale Analysis (in Julia)
Platform-aware programming in Julia
Discrete Differential Forms in arbitrary dimensions
Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)
Bayesian Information Gap Decision Theory
An array type for MPI halo data exchange in Julia
Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler
Fast and easy parallel mapreduce on HPC clusters
Measuring memory bandwidth using TheBandwidthBenchmark
NODAL is an Open Distributed Autotuning Library in Julia
Distributed Julia arrays using the MPI protocol
Inference of microbial interaction networks from large-scale heterogeneous abundance data
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