Until the next computer that will change everything. That said, this is a major milestone.
From Chicago Magazine, January 31:
Eight years in the making, Aurora, a powerful new machine at Argonne
National Laboratory, could help solve some of the most pressing
questions of our time. Welcome to the new era of supercomputing.
If you’re the type of person who ever contemplates what more you could
have done with your life, I have some advice: Don’t talk to Rick
Stevens. Just 15 minutes into a conversation with him, I already feel
like an idiot. Outwardly, I’m making direct eye contact, taking notes,
putting my fingers to my lips to signal I’m hanging on his every word;
inwardly, I’m thinking about how many hours I’ve spent on YouTube
rewatching clips from The Sopranos.
Stevens is the associate laboratory director for computing,
environment, and life sciences at Argonne National Laboratory in
southwest suburban Lemont. The title wordily obscures his
accomplishments. Stevens, who started computer programming at age 14,
has been at Argonne (the country’s first national laboratory,
established in 1946 and jointly operated by the U.S. Department of
Energy and the University of Chicago) since 1982, when he was still an
undergrad at Michigan State. After he joined Argonne, he got a doctorate
in computer science at Northwestern. Over the past 40 years, he’s been a
key figure in Argonne’s significant advancements in supercomputing.
On a sunny day in November, I’m sitting in Stevens’s office to learn
more about the Aurora supercomputer, Argonne’s next big leap in
computational speed and power. The lab has been laboring over
supercomputers for nearly its entire history, in a constant state of
conceptualizing, formulating, fundraising, designing, constructing,
testing, and operating. But in a decades-long span of inexorable
innovation, Aurora is a unique milestone. When the machine is fully
constructed and operational — Argonne officials are hoping for early
spring — it will be one of the first supercomputers in the world to
operate at exascale, a new and unprecedented stage of computing.
And this is why I came to talk to Stevens. He’s over six feet tall,
with fantastic long brown hair hanging past his shoulders, and a wide
frame, like he could have played football. On the day I meet him, he’s
wearing glasses, Birkenstock sandals with socks, flowy black yoga pants,
and a loose-fitting sweatshirt.
The first question I ask him: What’s the impact Aurora will have on our everyday life?
“What’s the impact?” Stevens replies, rhetorically and exhaustedly.
“Well, you can get a hint of it, maybe, from the impact that
supercomputing has had on the world in the last 20 years. Everything we
know about large-scale climate comes from climate simulations on
supercomputers. What we know about the human genome comes from massive
data analysis on big computers. Everything that’s happening in AI right
now is happening on large-scale computers. Just the idea that you could
build a system that might be able to drive a car is a result of huge
amounts of computing. Our ability to design reactors, our ability to
come up with new batteries — all that is a result of computing.”
You know, just the climate, the human genome, nuclear power, robots.
“The exascale machine is the latest version of that,” Stevens
continues, “and an exascale machine is a million times faster than the
machines we had at the turn of the century.”
Still, how could we witness a “million times faster” empirically? How
would we be able to see that materially in our everyday lives? I didn’t
want to repeat my initial question, so I ask it in the form of a
follow-up: Exascale computing is going to perform functions that we
can’t execute now, right?
“Yeah, it’s a million times faster,” Stevens answers, another way of saying, Duh!
Then he does something no one I’ve ever interviewed has done before: He explains to me how I should write my story.
“The gee-whiz reporting on these machines is not super enlightening,”
Stevens says. “Reporters like to do it because people have gotten so
used to the idea that ‘I have a phone and it talks to a giant cloud and
there’s thousands of processors in there,’ and that’s true. The industry
has built it over the last 15 years or so. We build these scientific
machines because they’re focused on problems in science, whereas clouds
are, you know, powering Twitter and Facebook and Discord servers and all
kinds of random stuff, fake news and all that.”
Stevens rolls his eyes repeatedly as he delivers this spiel, a wall
of thick books about astrophysics and advanced computer science behind
him. Then, like the sorcerer in Fantasia conjuring powers beyond the ken of mere mortals, he becomes impassioned.
“You don’t design an airplane without supercomputers. You don’t
design an airplane engine without supercomputers. You don’t design a car
anymore without a supercomputer. You don’t even design the mixtures in
gasoline without a supercomputer. You can probably try to name
something, almost anything of value, and it is going to have its roots
in some kind of high-end computing simulation or data analysis system.”
I was starting to see what Stevens meant when he dismissed most
stories about computers. But because I probably appeared to have the
intellect of a small child, he tells me outright: “The real story is
you’ve got a community of people that have been working on advancing
high-performance computing for decades. And it powers the whole
economy.”....
....MUCH MORE
Harvard's own Improbable Research has a Luxuriant Flowing Hair Club for scientists but when I went to check to see if Professor Stevens was a member, well, sadly, the site is being moved and won't be available for a while:
The LFHCfS is getting a shampoo and set while we are moving web hosts.
Please come back soon!
