Proposed White House Budget Could Constrain HPC Procurements and Use in Key Agencies
Authors: Bob Sorensen, Earl Joseph
Publication Date: May 2020
Length: 4 pages
The US White House recently released its proposed FY 2021 budget to Congress that seeks to impose a number of budget cuts on federal agencies, some of which are the largest purchasers and users of HPCs in the world. Notable reductions are proposed for NOAA (-31%), DOE’s Office of Science (-17%), and NASA (-11%).
- On the plus side, two new advanced computing technologies, artificial intelligence (AI) and quantum information science (QIS) are earmarked for near doublings in budget and are spread across a number of US government agencies.
- As has happened in the recent past, Congress will almost certainly increase funding levels for some critical R&D, but competing financial priorities driven by the covid-19 economic fallout could limit the ability of Congress to adjust funding levels for activities not directly linked to near-term covid-19 policies and programs.
Big Blue and Red Hat: Good News for the Technical Computing Sector
Steve Conway, Alex Norton, Earl Joseph and Bob Sorensen
IBM's decision to acquire Red Hat not only boosts the combined firm's potential to exploit the overall cloud market, but it will likely have a significant impact on the global technical computing market as well. This is based on the rapidly growing number of enterprise IT data centers that are integrating HPC into their AI and other data-intensive workloads that their enterprise servers cannot effectively handle alone.
November 2018 | Quick Take
ORNL Announces Newest Leadership HPC: It’s More Than Just Exaflops
The Department of Energy at Oak Ridge National Laboratory (ORNL) recently announced plans for the development of a 1.5 exaflops system called Frontier to be delivered in 2021. US HPC maker Cray and chip maker AMD are the two key US commercial partners in this effort. Despite numerous press articles centered on the 1.5 exaflops peak performance of Frontier, ORNL's original RFP released in April of 2018 clearly called out the diverse workload requirements that Frontier would have to successfully handle that span the traditional modeling and simulation sector, big data analysis, and AI applications, while demonstrating a 50X improvement in solving key DOE science problems that today run at the 20 petaflops level. To meet those ambitious goals, strong support from DOE's companion $1.7 billion Exascale Computing Project (ECP) will be critical.
May 2019 | Quick Take