More RAM for All

We recently adjusted the amount of RAM / memory available to all users of the High-Performance Computing Cluster (HPCC). The default all.q job queue cap has been raised from 640GB to 1024GB, a whole terabyte of memory! Additionally, if you are not familiar with the short.q job queue, please giveRead 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 tablesRead More

Julia is Here!

Welcome to Julia Julia is now installed across all compute servers of Wharton’s HPCC. 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, numerical accuracy,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’sRead More