NCSA Releases Profile on Blue Waters Graduate Fellow Sherwood Richers

November 1, 2016

Nov. 1 — The Blue Waters Graduate Fellowship was awarded to ten outstanding Ph.D. students in computational science. In this series we’re featuring brief introductions to who they are and what they’re trying to accomplish. This program serves to prepare the next generation of science researchers to solve the world’s problems. Follow along as we highlight these young researchers. Read more profiles here.

Tell me a little bit about yourself—where are you studying now, where did you do your undergrad, what was your major, etc.

I study high-energy astrophysics, and in particular I study core-collapse supernova explosions and neutron star mergers. Even more specifically, my primary focus is methods for treating the motion of neutrinos around these systems, called “neutrino transport.” I studied Astronomy-Physics at the University of Virginia. The research I did during my undergrad that sent me along this path was simulating accretion disks with John Hawley, but I also worked in an experimental ultrafast laser lab, spent a summer researching Carbon Nanotubes at Rice University, and did some data analysis of radio astronomical observations at the Remeis-Bamberg Observatory in Germany.

Tell me about your research—what are you trying/hoping to accomplish? What made you want to pursue this topic?

My primary interest in neutrino transport has a couple of objectives. Let’s look at core-collapse supernovae first. The big problem in this field is that observers watch stars explode on a daily basis, but when we put the most complete set of physics possible in the largest simulations running on supercomputers (like Blue Waters), they don’t consistently explode. Something is missing, and that something might be a proper treatment of neutrino transport. The equations describing neutrino transport are notoriously difficult to simulate, so they have to be heavily approximated, but I am trying to remove as much of the approximation as I can. The vast majority of the energy released from these explosions is in the form of neutrinos, and even a small correction could be the difference between an explosion and a dud. In the case of neutron star mergers (which have yet to be conclusively observed), the effects of neutrinos are expected to dramatically affect which kinds of atoms are released, and considering that mergers can release vast amounts of heavy elements (like gold, platinum, etc), properly treating neutrinos is very important for determining where all of these heavy elements we use every day come from. It also turns out that the neutrinos can change how these events look, and if we can do the simulation well enough, we can help observers know what to look for. Since all of these interesting things depend on an accurate treatment of neutrinos, I can attack both the problems with core-collapse supernovae and mergers with a single new neutrino transport method.

So what was your process like getting involved with Blue Waters? What made you want to apply for this fellowship?

As part of my previous research, I have run big simulations and data analysis/visualization on several supercomputers, including Blue Waters. Given that Blue Waters has been an invaluable tool for my group’s research in the past, it was only sensible to apply to the fellowship to get additional support, in the form of funding, computer time, and personal assistance.

How will the ability to use Blue Waters impact your research?

There are two problems in simulations that make supercomputers like Blue Waters necessary. The first is that simulations take so long that if I don’t get thousands of processors to work on them simultaneously, I won’t live to see the results. The large 3D simulations I have done in the past take on the order of a month on upwards of 10,000 processors, meaning it would take about 1,000 years on a single processor. The second is that the simulations are so big that they don’t fit on a regular computer. A single snapshot of the simulations I have run in the past requires several terabytes of RAM, and the addition of the neutrino transport method I am working on will only increase that requirement. So, I really need access to a world-class supercomputer to deal with these simulations.

Would you have been able to do this kind of research on any other machine? Why or why not?

There are a very small number of machines that would make the research possible. However, since I and my group have an extended history with Blue Waters, it makes Blue Waters much easier to use. The large simulation code I use has already been ported to and optimized on Blue Waters. In addition, the large allocations available for Blue Waters are not possible on other systems. The hardware setup is also optimal. The radiation transport method I am developing will increase the total memory requirement. Blue Waters has a very large amount of memory on each node, meaning that I will be able to run on fewer nodes than I would be able to on other computers. Fewer nodes means less time communicating information between nodes and better scalability. One of my future aims is also to accelerate the neutrino transport component of the simulations using GPUs, so even if I am able to run on a couple of other computers, Blue Waters has every resource I would want to help me move the science forward, and is the ideal system for my work.

Is there anything else you’d like people to know about your research/fellowship?

I am extremely grateful for the fellowship. The academic freedom it affords, the networking opportunities, and the computing resources are all amazing benefits that really make it possible for me to do such exciting work.


Source: NCSA

Subscribe to HPCwire's Weekly Update!

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

Nvidia Shuts Out RISC-V Software Support for GPUs 

September 23, 2022

Nvidia is not interested in bringing software support to its GPUs for the RISC-V architecture despite being an early adopter of the open-source technology in its GPU controllers. Nvidia has no plans to add RISC-V support for CUDA, which is the proprietary GPU software platform, a company representative... Read more…

Microsoft Closes Confidential Computing Loop with AMD’s Milan Chip

September 22, 2022

Microsoft shared details on how it uses an AMD technology to secure artificial intelligence as it builds out a secure AI infrastructure in its Azure cloud service. Microsoft has a strong relationship with Nvidia, but is also working with AMD's Epyc chips (including the new 3D VCache series), MI Instinct accelerators, and also... Read more…

Nvidia Introduces New Ada Lovelace GPU Architecture, OVX Systems, Omniverse Cloud

September 20, 2022

In his GTC keynote today, Nvidia CEO Jensen Huang launched another new Nvidia GPU architecture: Ada Lovelace, named for the legendary mathematician regarded as the first computer programmer. The company also announced tw Read more…

Nvidia’s Hopper GPUs Enter ‘Full Production,’ DGXs Delayed Until Q1

September 20, 2022

Just about six months ago, Nvidia’s spring GTC event saw the announcement of its hotly anticipated Hopper GPU architecture. Now, the GPU giant is announcing that Hopper-generation GPUs (which promise greater energy eff Read more…

NeMo LLM Service: Nvidia’s First Cloud Service Makes AI Less Vague

September 20, 2022

Nvidia is trying to uncomplicate AI with a cloud service that makes AI and its many forms of computing less vague and more conversational. The NeMo LLM service, which Nvidia called its first cloud service, adds a layer of intelligence and interactivity... Read more…

AWS Solution Channel

Shutterstock 1194728515

Simulating 44-Qubit quantum circuits using AWS ParallelCluster

Dr. Fabio Baruffa, Sr. HPC & QC Solutions Architect
Dr. Pavel Lougovski, Pr. QC Research Scientist
Tyson Jones, Doctoral researcher, University of Oxford

Introduction

Currently, an enormous effort is underway to develop quantum computing hardware capable of scaling to hundreds, thousands, and even millions of physical (non-error-corrected) qubits. Read more…

Microsoft/NVIDIA Solution Channel

Shutterstock 1166887495

Improving Insurance Fraud Detection using AI Running on Cloud-based GPU-Accelerated Systems

Insurance is a highly regulated industry that is evolving as the industry faces changing customer expectations, massive amounts of data, and increased regulations. A major issue facing the industry is tracking insurance fraud. Read more…

Nvidia Targets Computers for Robots in the Surgery Rooms

September 20, 2022

Nvidia is laying the groundwork for a future in which humans and robots will be collaborators in the surgery rooms at hospitals. The company announced a computer called IGX for Medical Devices, which will be populated in robots, image scanners and other computers and medical devices involved in patient care close to the point... Read more…

Nvidia Shuts Out RISC-V Software Support for GPUs 

September 23, 2022

Nvidia is not interested in bringing software support to its GPUs for the RISC-V architecture despite being an early adopter of the open-source technology in its GPU controllers. Nvidia has no plans to add RISC-V support for CUDA, which is the proprietary GPU software platform, a company representative... Read more…

Nvidia Introduces New Ada Lovelace GPU Architecture, OVX Systems, Omniverse Cloud

September 20, 2022

In his GTC keynote today, Nvidia CEO Jensen Huang launched another new Nvidia GPU architecture: Ada Lovelace, named for the legendary mathematician regarded as Read more…

Nvidia’s Hopper GPUs Enter ‘Full Production,’ DGXs Delayed Until Q1

September 20, 2022

Just about six months ago, Nvidia’s spring GTC event saw the announcement of its hotly anticipated Hopper GPU architecture. Now, the GPU giant is announcing t Read more…

NeMo LLM Service: Nvidia’s First Cloud Service Makes AI Less Vague

September 20, 2022

Nvidia is trying to uncomplicate AI with a cloud service that makes AI and its many forms of computing less vague and more conversational. The NeMo LLM service, which Nvidia called its first cloud service, adds a layer of intelligence and interactivity... Read more…

Nvidia Targets Computers for Robots in the Surgery Rooms

September 20, 2022

Nvidia is laying the groundwork for a future in which humans and robots will be collaborators in the surgery rooms at hospitals. The company announced a computer called IGX for Medical Devices, which will be populated in robots, image scanners and other computers and medical devices involved in patient care close to the point... Read more…

Survey Results: PsiQuantum, ORNL, and D-Wave Tackle Benchmarking, Networking, and More

September 19, 2022

The are many issues in quantum computing today – among the more pressing are benchmarking, networking and development of hybrid classical-quantum approaches. Read more…

HPC + AI Wall Street to Feature ‘Spooky’ Science for Financial Services

September 18, 2022

Albert Einstein famously described quantum mechanics as "spooky action at a distance" due to the non-intuitive nature of superposition and quantum entangled par Read more…

Analog Chips Find a New Lease of Life in Artificial Intelligence

September 17, 2022

The need for speed is a hot topic among participants at this week’s AI Hardware Summit – larger AI language models, faster chips and more bandwidth for AI machines to make accurate predictions. But some hardware startups are taking a throwback approach for AI computing to counter the more-is-better... Read more…

AWS Takes the Short and Long View of Quantum Computing

August 30, 2022

It is perhaps not surprising that the big cloud providers – a poor term really – have jumped into quantum computing. Amazon, Microsoft Azure, Google, and th Read more…

The Final Frontier: US Has Its First Exascale Supercomputer

May 30, 2022

In April 2018, the U.S. Department of Energy announced plans to procure a trio of exascale supercomputers at a total cost of up to $1.8 billion dollars. Over the ensuing four years, many announcements were made, many deadlines were missed, and a pandemic threw the world into disarray. Now, at long last, HPE and Oak Ridge National Laboratory (ORNL) have announced that the first of those... Read more…

US Senate Passes CHIPS Act Temperature Check, but Challenges Linger

July 19, 2022

The U.S. Senate on Tuesday passed a major hurdle that will open up close to $52 billion in grants for the semiconductor industry to boost manufacturing, supply chain and research and development. U.S. senators voted 64-34 in favor of advancing the CHIPS Act, which sets the stage for the final consideration... Read more…

Nvidia Shuts Out RISC-V Software Support for GPUs 

September 23, 2022

Nvidia is not interested in bringing software support to its GPUs for the RISC-V architecture despite being an early adopter of the open-source technology in its GPU controllers. Nvidia has no plans to add RISC-V support for CUDA, which is the proprietary GPU software platform, a company representative... Read more…

Top500: Exascale Is Officially Here with Debut of Frontier

May 30, 2022

The 59th installment of the Top500 list, issued today from ISC 2022 in Hamburg, Germany, officially marks a new era in supercomputing with the debut of the first-ever exascale system on the list. Frontier, deployed at the Department of Energy’s Oak Ridge National Laboratory, achieved 1.102 exaflops in its fastest High Performance Linpack run, which was completed... Read more…

Chinese Startup Biren Details BR100 GPU

August 22, 2022

Amid the high-performance GPU turf tussle between AMD and Nvidia (and soon, Intel), a new, China-based player is emerging: Biren Technology, founded in 2019 and headquartered in Shanghai. At Hot Chips 34, Biren co-founder and president Lingjie Xu and Biren CTO Mike Hong took the (virtual) stage to detail the company’s inaugural product: the Biren BR100 general-purpose GPU (GPGPU). “It is my honor to present... Read more…

Newly-Observed Higgs Mode Holds Promise in Quantum Computing

June 8, 2022

The first-ever appearance of a previously undetectable quantum excitation known as the axial Higgs mode – exciting in its own right – also holds promise for developing and manipulating higher temperature quantum materials... Read more…

AMD’s MI300 APUs to Power Exascale El Capitan Supercomputer

June 21, 2022

Additional details of the architecture of the exascale El Capitan supercomputer were disclosed today by Lawrence Livermore National Laboratory’s (LLNL) Terri Read more…

Leading Solution Providers

Contributors

Tesla Bulks Up Its GPU-Powered AI Super – Is Dojo Next?

August 16, 2022

Tesla has revealed that its biggest in-house AI supercomputer – which we wrote about last year – now has a total of 7,360 A100 GPUs, a nearly 28 percent uplift from its previous total of 5,760 GPUs. That’s enough GPU oomph for a top seven spot on the Top500, although the tech company best known for its electric vehicles has not publicly benchmarked the system. If it had, it would... Read more…

Exclusive Inside Look at First US Exascale Supercomputer

July 1, 2022

HPCwire takes you inside the Frontier datacenter at DOE's Oak Ridge National Laboratory (ORNL) in Oak Ridge, Tenn., for an interview with Frontier Project Direc Read more…

AMD Opens Up Chip Design to the Outside for Custom Future

June 15, 2022

AMD is getting personal with chips as it sets sail to make products more to the liking of its customers. The chipmaker detailed a modular chip future in which customers can mix and match non-AMD processors in a custom chip package. "We are focused on making it easier to implement chips with more flexibility," said Mark Papermaster, chief technology officer at AMD during the analyst day meeting late last week. Read more…

Intel Reiterates Plans to Merge CPU, GPU High-performance Chip Roadmaps

May 31, 2022

Intel reiterated it is well on its way to merging its roadmap of high-performance CPUs and GPUs as it shifts over to newer manufacturing processes and packaging technologies in the coming years. The company is merging the CPU and GPU lineups into a chip (codenamed Falcon Shores) which Intel has dubbed an XPU. Falcon Shores... Read more…

Nvidia, Intel to Power Atos-Built MareNostrum 5 Supercomputer

June 16, 2022

The long-troubled, hotly anticipated MareNostrum 5 supercomputer finally has a vendor: Atos, which will be supplying a system that includes both Nvidia and Inte Read more…

UCIe Consortium Incorporates, Nvidia and Alibaba Round Out Board

August 2, 2022

The Universal Chiplet Interconnect Express (UCIe) consortium is moving ahead with its effort to standardize a universal interconnect at the package level. The c Read more…

Using Exascale Supercomputers to Make Clean Fusion Energy Possible

September 2, 2022

Fusion, the nuclear reaction that powers the Sun and the stars, has incredible potential as a source of safe, carbon-free and essentially limitless energy. But Read more…

Is Time Running Out for Compromise on America COMPETES/USICA Act?

June 22, 2022

You may recall that efforts proposed in 2020 to remake the National Science Foundation (Endless Frontier Act) have since expanded and morphed into two gigantic bills, the America COMPETES Act in the U.S. House of Representatives and the U.S. Innovation and Competition Act in the U.S. Senate. So far, efforts to reconcile the two pieces of legislation have snagged and recent reports... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire