Menu

Op-ed: The most important scientific job you’ve never heard of

August 24, 2020

John Goodhue, Director, Massachusetts Green High Performance Computing Center and Principal Investigator, Northeast Cyberteam Initiative writing about the importance of cultivating a high-performance computing talent pipeline.
Read this story at Boston Business Journal
In labs in Massachusetts and across the globe, researchers are racing to develop coronavirus vaccines and treatments. It is an effort that requires trillions of calculations that must be performed on a massive cyberinfrastructure. But our society’s reliance on science, and science’s reliance on high-performance computing, exposes a flaw in our system of academic research — the absence of a steady talent pipeline of people to make sure the computers are doing what scientists need them to do.
They are called, in the typically functional language of science and engineering, “research computing facilitators,” or RCFs. Their required skill set is both deep and broad. They must be able to translate among multiple disciplines. For a single research project, for example, an RCF might need to apply a blend of knowledge that includes software engineering, biochemistry and statistics. As the bridge between the technology and those who use it, the RCF must also have the people skills to help experts in many different domains.
To put the challenge into perspective, think about the last time you needed help inserting a video into a slide deck or performing a sophisticated budget analysis on a spreadsheet or recovering from a computer crash. For scientists using large-scale computers, these kinds of problems happen every day at a thousand times the scale and complexity.
The problem is that the RCFs role is currently unofficial, unrecognized and unheralded.  Often, it is filled by a researcher who happens to have a bit of computer science training or experience. Over time, this lack of a cadre of specially designated and trained RCFs could erode the pace of discovery and innovation.
The Massachusetts Green High Performance Computing Center (MGHPCC) — which is operated by Boston University, Harvard University, MIT, Northeastern University and the University of Massachusetts system — has launched an initiative to reverse this trend. The MGHPCC is working with the universities of Maine, New Hampshire and Vermont to increase the number of skilled professionals in this role through the Northeast Cyberteam Initiative, a program funded by the National Science Foundation. The program has two goals. One is to build a pool of RCFs to support researchers at small and midsize institutions, which may not have the computing resources or resident expertise of their larger counterparts. The second is to create a pipeline of cyberinfrastructure talent by providing RCFs-in-training with mentoring and work experience. The list of projects supported by the Cyberteam RCFs spans the range of disciplines, with research subjects that include forestry mapping, extreme weather events, light distortion near black holes, resilience of aquaculture farms, and data visualization, to name just a few.
None of this important work could be done without high performance computing, and high performance computing cannot be sustained without the cultivation of a specially trained workforce.
Solving the problem won’t be simple.  It begins with recognizing and institutionalizing the special role played by RCFs, with defined job descriptions and compensation levels, formalized education (dual majors in computer science and another discipline, for example) and the creation of internships and other career development opportunities.
Given the importance of scientific research to society, from fighting infectious diseases to improving our transportation system to developing new educational models, we can no longer be casual about attending to our computational infrastructure.
John Goodhue is the director of the Massachusetts Green High Performance Computing Center and the principal investigator of the Northeast Cyberteam Initiative.

Tags:

Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute – Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer – Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
QuEra at the MGHPCC
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) – a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Measuring Neutrino Mass
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Fuzzing the Linux Kernel
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer’s Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Avoiding Smash Hits
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Neurocognition at the Wu Tsai Institute, Yale
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
All Research Projects

Collaborative projects

ALL Collaborative PROJECTS

Outreach & Education Projects

See ALL Scholarships
100 Bigelow Street, Holyoke, MA 01040