Slurm User Group Mailing List
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Ultimate guide to Unix
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Unix is incredibly common and useful. This website provides all the common commands and explanations for one to get started with a unix system.
AI Institutes Cyberinfrastructure Documents: SAIL Meeting
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Materials from the SAIL meeting (https://aiinstitutes.org/2023/06/21/sail-2023-summit-for-ai-leadership/). A space where AI researchers can learn about using ACCESS resources for AI applications and research.
Federated CI Resources
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Discussion about contributing cycles to the Open Science Grid.
ConnectCI
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Connect.Cybinfrastructure is a family of portals, each representing a program that is serving a segment of the research computing and data community. Each portal provides program-specific information, as well a custom "view" into a common database. The portal was originally developed to support project workflows and a knowledge base of self service learning resources for the Northeast Cyberteam. Subsequently, it was expanded to provide support to multiple cyberteams and other research computing communities of practice. We welcome additional communities, please contact us if you are interested in participating. Central to the Portal is an extensive and ever-evolving tagging infrastructure which informs every aspect of the Portal. The tag taxonomy was initially developed by the Northeast Cyberteam to categorize subject matter relevant to practitioners of Research Computing Facilitation and is ever changing due to the frequent introduction of new technology in domains that characterize the field of research computing.
Samtools Documentation
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Samtools is a suite of programs for interacting with high-throughput sequencing data, especially in the SAM/BAM format. It offers various utilities for processing, analyzing, and managing sequence data generated from next-generation sequencing (NGS) experiments. Samtools is widely used in bioinformatics and genomics research for tasks such as read alignment, variant calling, and data manipulation.
GDAL Multi-threading
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Multi-threading guidance when using GDAL.
Charliecloud User Group
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Announcements for for users and developers of Charliecloud, which provides lightweight user-defined software stacks for high-performance computing.
Probabilistic Semantic Data Association for Collaborative Human-Robot Sensing
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Humans cannot always be treated as oracles for collaborative sensing. Robots thus need to maintain beliefs over unknown world states when receiving semantic data from humans, as well as account for possible discrepancies between human-provided data and these beliefs. To this end, this paper introduces the problem of semantic data association (SDA) in relation to conventional data association problems for sensor fusion. It then, develops a novel probabilistic semantic data association (PSDA) algorithm to rigorously address SDA in general settings. Simulations of a multi-object search task show that PSDA enables robust collaborative state estimation under a wide range of conditions.
TensorFlow for Deep Neural Networks
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TensorFlow is a powerful framework for Deep Learning, developed by google. This specifically is their python package, which is easy to use and can be used to train incredibly powerful models.
DARWIN Documentation Pages
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DARWIN (Delaware Advanced Research Workforce and Innovation Network) is a big data and high performance computing system designed to catalyze Delaware research and education
Installing Rocky Linux Operating System
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Rocky Linux is an open-source enterprise operating system. It is compatible with Red Hat Enterprise Linux (RHEL). It is a community-driven project that provides a stable and reliable platform for production workloads. It is one of the best alternatives to Opensource CentOS, since Centos will be on end of life (EoL) soon in 2024 by shifting to CentOS Stream.
MPI Resources
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Workshop for beginners and intermediate students in MPI which includes helpful exercises. Open MPI documentation.
RRCoP Resources Page
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Very helpful list of Regulated Research Community of Practice's collaborating communities.
Use Windows Subsystem for Linux for HPC Command Line Access from Windows
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Windows Subsystem for Linux (WSL) provides a Linux environment for Windows users to access HPC resources fast and efficiently.
Data Imputation Methods for Climate Data and Mortality Data
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This slices and videos introduced how to use K-Nearest-Neighbors method to impute climate data and how to use Bayesian Spatio-Temporal models in R-INLA to impute mortality data. The demos will be added soon.
Numba: Compiler for Python
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Numba is a Python compiler designed for accelerating numerical and array operations, enabling users to enhance their application's performance by writing high-performance functions in Python itself. It utilizes LLVM to transform pure Python code into optimized machine code, achieving speeds comparable to languages like C, C++, and Fortran. Noteworthy features include dynamic code generation during import or runtime, support for both CPU and GPU hardware, and seamless integration with the Python scientific software ecosystem, particularly Numpy.
Recommended Libraries for Cyberinfrastructure Users Developing Jupyter Notebooks
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This repository contains information about Jupyter Widgets and how they can be used to develop interactive workflows, data dashboards, and web applications that can be run on HPC systems and science gateways. Easy to build web applications are not only useful for scientists. They can also be used by software engineers and system admins who want to quickly create tools tools for file management and more!
Weka
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Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization.
Campus Champions Home Page
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Campus Champions foster a dynamic environment for a diverse community of research computing and data professionals sharing knowledge and experience in digital research infrastructure.
Applications of Machine Learning in Engineering and Parameter Tuning Tutorial
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Slides for a tutorial on Machine Learning applications in Engineering and parameter tuning given at the RMACC conference 2019.
Time-Series LSTMs Python Walkthrough
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A walkthrough (with a Google Colab link) on how to implement your own LSTM to observe time-dependent behavior.
Neural Networks in Julia
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Making a neural network has never been easier! The following link directs users to the Flux.jl package, the easiest way of programming a neural network using the Julia programming language. Julia is the fastest growing software language for AI/ML and this package provides a faster alternative to Python's TensorFlow and PyTorch with a 100% Julia native programming and GPU support.
Slurm Tutorials
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Introduction to the Slurm Workload Manager for users and system administrators, plus some material for Slurm programmers.
Building Anaconda Navigator applications
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This tutorial explains how to create an Anaconda Navigator Application (app) for JupyterLab. It is intended for users of Windows, macOS, and Linux who want to generate an Anaconda Navigator app conda package from a given recipe. Prior knowledge of conda-build or conda recipes is recommended.