Distributed Enterprise Scheduling, Workload Balancing, and Parallelized Workloads for Productive Performance at Bank of Italy Research Unit With SAS Grid Manager on an HPC Cluster

Free registration required

Executive Summary

In an attempt to provide more efficient and more cost-effective access to a wide range of econometric and statistical packages, to the different company databases, and to a comprehensive range of Web-enabled services, the Economic Research Unit of the Bank of Italy has decided to replace its Symmetric Multiprocessors (SMP) RISC6000/AIX-based system with a Red Hat Linux High Performance Computing cluster. The new system involving increased data volumes, more complex and longer runtime processes, required an efficient and flexible tool enabling the Research department of the Bank to perform SAS job scheduling and workload balancing and to parallelize workloads in a distributed environment.

  • Format: PDF
  • Size: 237 KB