Introducing the 2023 BSSw Fellows

January 13, 2023

Jan. 13, 2023 — The 2023 class of BSSw Fellows will be recognized during the 2023 Exascale Computing Project Annual Meeting, January 17-20, 2023.

The BSSw Fellowship Program gives recognition and funding to leaders and advocates of high-quality scientific software. Each 2023 Fellow will receive up to $25,000 for an activity that promotes better scientific software, such as organizing a workshop, preparing a tutorial, or creating content to engage the scientific software community.

The BSSw Fellowship Program is supported by the U.S. Department of Energy (DOE) and National Science Foundation (NSF) to enable a more robust approach toward pioneering the future of advanced computing ecosystems and leadership in science and engineering. The program enhances workforce development and pathways to NSF and DOE software communities, through nurturing a network of people who advance software practices as a fundamental aspect of increasing overall scientific productivity.

2023 BSSw Fellows

Nicole Brewer, Arizona State University

Graduate Research Assistant, Center for Biology and Society

BSSw focus: Improving accessibility of research data and software with scientific web applications

Myra B. Cohen, Iowa State University

Professor and Lahn and Oahn Chair in Software Engineering, Computer Science

BSSw focus: Improving the quality of scientific software through rigorous software testing

Johannes Doerfert, Lawrence Livermore National Laboratory

Computer Scientist, CASC

BSSw focus: Improving developer productivity by demystifying the compiler black box

William Hart, Sandia National Laboratories

Member of Technical Staff, Discrete Math and Optimization Department

BSSw Focus: Sustainable strategies for managing supply chain security in research software

Helen Kershaw, National Center for Atmospheric Research

Software Engineer, Data Assimilation Research Section

BSSw focus: Increasing the confidence of first-time open-source contributors and humanizing the process of code review

Rafael Mudafort, National Renewable Energy Lab

Researcher IV, National Wind Technology Center

BSSw focus: Increasing developer impact through effective communication of software design

2023 BSSw Honorable Mentions

Jean Luca Bez, Lawrence Berkeley National Laboratory

Postdoctoral Researcher, Scientific Data Division

Jose Monsalve Diaz, Argonne National Laboratory

Postdoctoral Researcher, Mathematics and Computer Science Division

Xu Liu, North Carolina State University

Associate Professor, Computer Science Department

Alisa Neeman, Muskingum University

Assistant Professor, Mathematics and Computer Science

Kristina Riemer, University of Arizona

Scientific Programmer, Data Science Institute

Brigitta Sipőcz, California Institute of Technology

Applications Developer

About the BSSw Fellowship

The main goal of the BSSw Fellowship Program is to foster and promote practices, processes, and tools to improve developer productivity and software sustainability of scientific codes. BSSw Fellows are selected annually based on an application process that includes the proposal of an activity that promotes better scientific software. Subscribe to the BSSw email digest for notification about next year’s call for applications, which will be announced in summer 2023. More information:

Stay tuned for more from the 2023 BSSw Fellows.

Contribute to the BSSw Site

Also, we want and need contributions from the international community for the BSSw site. If you have expertise that can help other scientific software teams, we encourage you to contribute an article or pointer to good work. See details on how to contribute to BSSw.

Author Bio

Hai Ah Nam is coordinator of the BSSw Fellowship Program, a member of the IDEAS-ECP team, and a researcher in the Advanced Technologies Group at NERSC/LBNL. Her scientific career spans four DOE national laboratories (LLNL, ORNL, LANL, LBNL), where she has contributed to work in low-energy nuclear physics, computational physics, high performance computing, and research scientific software development. Hai Ah’s research interests include emerging technologies for the HPC ecosystem, with a focus on AI/ML capabilities. She is an advocate for developer productivity and software sustainability and has been one of the organizers of the DOE Performance, Portability and Productivity Annual Meetings since 2015.


Source: Hai Ah Nam, Coordinator, BSSw Fellowship Program

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's latest weapon in the AI battle with GPU maker Nvidia and clou Read more…

ISC 2024 Student Cluster Competition

May 16, 2024

The 2024 ISC 2024 competition welcomed 19 virtual (remote) and eight in-person teams. The in-person teams participated in the conference venue and, while the virtual teams competed using the Bridges-2 supercomputers at t Read more…

Grace Hopper Gets Busy with Science 

May 16, 2024

Nvidia’s new Grace Hopper Superchip (GH200) processor has landed in nine new worldwide systems. The GH200 is a recently announced chip from Nvidia that eliminates the PCI bus from the CPU/GPU communications pathway.  Read more…

Europe’s Race towards Quantum-HPC Integration and Quantum Advantage

May 16, 2024

What an interesting panel, Quantum Advantage — Where are We and What is Needed? While the panelists looked slightly weary — their’s was, after all, one of the last panels at ISC 2024 — the discussion was fascinat Read more…

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can uncover patterns, generate insights, and make predictions that Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top500 list of the fastest supercomputers in the world. At s Read more…

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Europe’s Race towards Quantum-HPC Integration and Quantum Advantage

May 16, 2024

What an interesting panel, Quantum Advantage — Where are We and What is Needed? While the panelists looked slightly weary — their’s was, after all, one of Read more…

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can un Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

ISC 2024 Keynote: High-precision Computing Will Be a Foundation for AI Models

May 15, 2024

Some scientific computing applications cannot sacrifice accuracy and will always require high-precision computing. Therefore, conventional high-performance c Read more…

Shutterstock 493860193

Linux Foundation Announces the Launch of the High-Performance Software Foundation

May 14, 2024

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is excited to announce the launch of the High-Performance Softw Read more…

ISC 2024: Hyperion Research Predicts HPC Market Rebound after Flat 2023

May 13, 2024

First, the top line: the overall HPC market was flat in 2023 at roughly $37 billion, bogged down by supply chain issues and slowed acceptance of some larger sys Read more…

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Leading Solution Providers

Contributors

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have b Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire