Working with Jehoshua Eliashberg and Jeremy Fan within the Marketing Department I have developed a reusable Naive Bayes classifier that can handle multiple features. This is a useful algorithm to calculate the probability that each of a set of documents or texts belongs to a set of categories using the Bayesian method. The package…Read More
[DEPRECATED] EPO PATSTAT 2016b (Fall) is Here!
2018-10: PATSTAT IS DEPRECATED AT Wharton! Please contact research-computing@wharton.upenn.edu for alternative patent data methods. We currently recommend Google BigQuery. Wharton Research Computing is excited to announce the European Patent Office’s PATSTAT Fall 2016 (2016b) worldwide patent data. We have loaded Fall 2016 PATSTAT onto our HPC systems, including: raw CSV files (in ZIPs) at /data/PATSTAT/patstat2016b indexed tables…Read More
Julia is Here!
Welcome to Julia Julia is now installed across all compute servers of Wharton’s HPC systems. From the Julia Website: Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution,…Read More
[DEPRECATED] Worldwide Patents Database: PATSTAT
2018-10: PATSTAT IS DEPRECATED AT Wharton! Please contact research-computing@wharton.upenn.edu for alternative patent data methods. We currently recommend Google BigQuery. Wharton Research Computing is delighted to announce the acquisition and hosting of a patents database that covers industrialized nations as well as the leading developing nations. PATSTAT is created by the…Read More
More Memory for High-Performance Computing Cluster
We have added 1.5 terabytes of memory to The Wharton High-Performance Computing Cluster (HPCC). This upgrade takes the system to over 6TB of total available memory for our research computing needs. After the upgrade, we now have three compute nodes with half a terabyte of memory each! This is a…Read More
WRDS Data Directly from Python, R, and MATLAB
DEPRECATED! We’re working on documentation for connecting to WRDS via their newer PostgreSQL service See https://wrds-www.wharton.upenn.edu/pages/support/programming-wrds/ for details for newest methods … some adjustments to the WRDS documentation are needed, generally installing any libraries, packages, or modules required (Python: ‘wrds’, R: RPostgres, etc.) Original Article (DEPRECATED): Using Wharton Research Computing’s…Read More
Coming Summer 2016: PennAuth for Wharton HPC Services
What’s Happening, and Why? In compliance with Wharton and Penn’s plans to more thoroughly integrate user accounts, we will be moving to Penn authentication (PennAuth) in the Summer of 2016. PennAuth provides higher levels of accountability and compliance with current research security standards, as well as a more seamless experience across Penn…Read More
Run Unlimited Jobs with the Short Queue
The short.q job queue on the Wharton High Performance Computing Cluster (HPCC) is now available for general use. What this means is that all users may now have up to 256 more jobs simultaneously running! This is a way around the current 64-core limit. To use this new feature, one may…Read More
Seamless R and C++ integration with Rcpp
Are you an R programmer? Do you like high-performance computing? Do you want to accelerate your core R functions? Do you sound like a pirate when you talk about your code? Then, this book may be for you: Seamless R and C++ integration with Rcpp Rcpp is an R add-on…Read More
Improved Support for Parallel IPython on Wharton HPCC
You may have seen my previous post on Parallel IPython with Univa Grid Engine (SGE). It involved a fair bit of step-by-step configuration and large chunks of boilerplate code. Well, that has now been simplified. It is now much easier to run Python functions across a hundred CPU cores on…Read More