R: A programming language for statistical and machine learning applications with very strong graphical capabilities Rstudio: RStudio is a free and open-source integrated graphical environment for R. Python programming environment can be accessed through Jupyter App on OnDemand as well. Python: A popular general-purpose, high-level programming language with numerous mathematical and scientific packages available for data analytics and machine learning. Here is a list of software that we offer related to data analytics and machine learning. It also connects research systems to personal systems. Globus is a simple but powerful transferring service that allows our users to share data with collaborators anywhere! Any remote research sites that run Globus can seamlessly connect to OSC’s many research storage systems. Other file transfer options include using sftp from a command line or third-party interface (like Filezilla). Using our web platform, OnDemand, users can transfer smaller files (<10 GB) using simple drag and drop. OSC has over 14 petabytes (PB) of disk storage capacity distributed over several file systems, plus more than 14 PB of available backup tape storage (with the ability to easily expand to over 23PB). Ohio researchers have access to many file storage options at OSC. This page discusses some of the ways you can use GPU computing at OSC. While GPUs can provide a significant boost in performance for some applications the computing model is very different from the CPU. OSC offers GPU computing on all its systems. Pitzer has 4 huge memory nodes (Dell PowerEdge R940 four-socket server with Intel Xeon 6148 (Skylake 20 core, 2.40GHz) processors, 3TB memory, 2 x 1TB drives mirrored - 1TB usable).Īscend, a 2,304-core Dell AMD EPYC™ machine, has 24 nodes with 88 usable cores, 921GB of usable memory, and 4 NVIDIA A100 GPUs per node, with 80GB memory each, supercharged by NVIDIA NVLink. On Owens, data analytical environment has 16 huge memory nodes (Dell PowerEdge R930 four-socket server with Intel Xeon E5-4830 v3 (Haswell 12 core, 2.10GHz) processors, 1,536GB memory, 12 x 2TB drives). OSC's data analytical environment comprised of nodes with powerful CPU cores, large amount of RAM and local disk space to store and process large amount of data. Data-intensive workloads can be supported with OSC's high-performance computing frameworks that consist of many programming languages, interactive computing with OnDemand, and parallel computing. OSC provides hardware and software services to support AI, ML and data analytical need for our clients.
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