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It might shock you to understand that Gary Grider, HPC Division chief at Los Alamos country wide Laboratory, is much less interested in FLOPS than efficiency. during this interview, he explains why “FLOPS” hasn’t appeared in Los Alamos RFPs over the last decade. He additionally talks about his gold standard HPC subject: lowering activity in classical simulation in favor of more recent fields of HPC recreation, such as AI and quantum. “That’s my big concern,” he says, “that large, big, extraordinarily advanced simulation is chucking up the sponge.”https://insidehpc.com/wp-content material/uploads/2020/09/Gary-Grider-interview-082620.m4a
during this replace… from the HPC person forum
by Thomas Gerard and Steve Conway
After the world pandemic compelled Hyperion research to cancel its 2020 HPC person boards, they determined to attain out to the HPC neighborhood by way of publishing a collection of interviews with choose HPC concept leaders. Their hope is that these seasoned leaders’ perspectives on HPC’s past, current and future could be exciting and really helpful to others. To conduct the interviews, Hyperion analysis engaged insideHPC Media. They welcome feedback and questions addressed to Steve Conway, firstname.lastname@example.org, or Earl Joseph, email@example.com.
This interview is with Gary Grider, leader of the excessive efficiency Computing (HPC) Division at Los Alamos national Laboratory. As Division chief, Gary is responsible for all elements of high efficiency computing technologies and deployment at Los Alamos. moreover, Gary is accountable for managing the R&D portfolio keeping the new know-how pipeline full to provide solutions to issues in the lab’s HPC ambiance, via funding of institution and business partners. Gary additionally helps manipulate the U.S. govt investments in information management, mass storage, and IO. Gary has 26 granted patents, with 17 pending within the statistics storage area and has been working in HPC and HPC-linked storage considering that 1984.
The HPC person discussion board turned into centered in 1999 to promote the fitness of the global HPC business andaddress considerations of typical subject to clients. greater than seventy five HPC consumer discussion board meetings have been held in the Americas, Europe and the Asia-Pacific vicinity seeing that the firm’s founding in 2000.
Doug Black: I’m Doug Black, editor-in-chief of InsideHPC and these days, as a part of their Hyperion research sequence of interviews, we’re speaking with Gary Grider, HPC Division leader at Los Alamos national Laboratory. Gary, thanks so much for joining us nowadays.
Gary Grider: You’re welcome.
Black: tell us, in case you would, a little bit about your area of knowledge and also about one of the vital extra essential work you’ve accomplished of late and what its talents implications and influences could be.
Grider: sure. at this time, I’m a supervisor, and i’ve been a supervisor, practically the lead average for HPC,when you consider that 2012 at Los Alamos, so my technical chops are from earlier than that, unluckily. I’ve been at LosAlamos seeing that ’89, so I’ve been here ages, and inner the DOE advanced on account that ’eighty four. I wager my talents and declare-to-repute is within the records storage enviornment. Lee Ward and i, Lee Ward is at Sandia [Sandia National Laboratory], had been the ones that went to DOE and received the cash for Lustre, and that i became with Peter Braam every Thursday morning for calls with his group to get Lustre constructed back in the late 2000’s and, of route, that’s used far and wide, so I suppose pretty proud about that. Of direction, when people whinge about Lustre I consider a bit bit responsible, however’s used all over and arguably it’s been an outstanding success. definitely, these americans at Cluster felt these had been some in fact smart guys and that they did a good job engaged on that for us and Peter is a very good useful resource.
yet another aspect that’s unique is that Lee Ward and that i, once again, went to DOE and got money for what was called the NNSA ASC tuition Alliance program for I/O and they began a few projects. probably the most projects they all started turned into a undertaking at college of California, Santa Cruz to build a look at various file device for trying out out metadata at scale and safety in metadata at scale in file systems. They asked if they might spend a while building a consumer-space object-oriented file equipment to be capable of play round with and test concepts on what they asked them to do. There changed into a graduate pupil there named Sage Weil and, very nearly, that’s where Ceph came from. So while I didn’t supply start to Ceph, one way or the other Lee Ward and that i did provide birth to Ceph in that they bought the money and type of directed school of California, Santa Cruz to build what they had been going to construct. not always to build a product that turned into finally going to become a part of red Hat and used in all places the world, however to do some entertaining R&D for us and that was the outcome. So, it's one more illustration of a fascinating know-how that i used to be there at the start of.
We also had been accountable for going to the high conclusion Interagency Working group. I don’t recognize if you bear in mind what that was throughout the Earth Simulator days, but that became a way for groups to collaborate on what they funded in technologies and they did a bunch of projects with about 20 different universities. probably the most ones that became out in fact well changed into one they did with Rutgers and Stony Brook [University] and others. It changed into known as Cache-Oblivious B-timber however finally became Tokutek, which became a fast insert database that turned into caught underneath the Berkeley DB in Linux and finally grew to be Bε-tree FS [file system], which is truly a slick file gadget that’s accessible these days that does inserts quicker than anything else.
So those are three. There’s a bunch greater: NFS edition four and PNFS came from DOE funding that Lee and i helped manipulate on the tuition of Michigan. I might go on and on. I’ve been working in this enviornment for a protracted, long time and loads of items have come from DOE funding in this area and that i became sort of the lead in that house for Los Alamos and Lee changed into the lead for Sandia. They sort of guided this whole area for 15 years or more and produced a lot of issues that americans use today.
Black: Wow, that’s fantastic stuff. It have to be very lucrative to see know-how you had an immediate hand inbeing so typical.
Grider: yes, of route, that become the purpose and that changed into the conception and it’s pleasant to accomplish goals oncein a long time.
Black: can you inform us about any existing undertaking development work you’re concentrated on?
Grider: neatly, now not me at once as a result of, once more, I actually have a couple hundred people who record to me and they run probably the most biggest computing facilities in the world for HPC, so I do lots of people management. The things that we’re working on at Los Alamos that I consider are exciting and that I have had a hand in shaping, and one factor they do a bit distinctive than most other labs – not all but most – is they tend to buy methods for small numbers of functions to run on half or more of the methods for the entire life of the device, which is form of ordinary for a big science website to do. One would never trust buying a $200,000,000 supercomputer and letting one utility run on half of it for two or three years, however that’s precisely what they do at Los Alamos. So, they form of reside on the fringe of the DOE space in that regard.
You’ve bought NERSC and a few of the workplace of Science labs on one end of the spectrum that have a lot of functions and would never provide half the desktop to any one for very long at all and they are living at precisely the other end of the spectrum the place they try this all the time. definitely, that’s the style they run their big machines. And one of the most things they wanted to do, they ran it on Trinity, but they had been attempting to run it on Sequoia at Livermore [Lawrence Livermore National Laboratory] and earlier than that on Cielo at Los Alamos, and it’s kind of a 20 year-historic weapons difficulty that we’ve been attempting to get to the bottom of for that long. They truly needed to run it to get to the bottom of it, so Trinity, which is their current massive laptop on the ground – 2 petabytes of DRAM and 20,000 nodes which, by way of flops, isn’t tons but they don’t truly care about that. It’s nonetheless likely the largest memory footprint of any one out there and it’s almost 5 years historic.
We took half of that machine and ran an issue on it for over seven months to get the reply. The machine became designed for complications like that, actually that one in selected, for sure. They realized that if you’re going to run a problem like that with a memory footprint of a petabyte and also you’re going to docheckpoints every four hours and also you’re going to do evaluation and the like, you’re going to provide lots of of petabytes of statistics monthly likely, or something of that ilk, which is basically an awful lot. So, they needed to invent a number of things to get that to take place. some of the issues they form of invented was a thing known as the burst-buffer, which you may additionally have heard of. It grew to be a Cray product referred to as DataWarp, which is anephemeral, flash-based mostly file system. So, there’s 4 petabytes of flash on this desktop and you can checkpoint to it in a few minute, which potential it runs at multiple terabytes per 2nd, whatever thing like four. So, that’s enjoyable, I believe, that we're able to run these actually huge issues for a really long time as a result of they are able to do checkpoint and evaluation real promptly as a result of they have form of mastered the artwork of the use of flash inside the computer for that purpose.
We additionally realized that they crucial to maintain a lot of records around as a result of if this particular utility desired to head backwards two months and begin two months into the past and go in a special directionwe should retain a good quantity of those state tests around for a while, months and months, as much as a yr or whatever thing. That seems to be lots of records and they tried lots of the article storage techniques which are out on this planet and had some success, but it under no circumstances in fact bought to where they vital to be, so they built this thing known as crusade shop, which is kind of an object storage server however on steroids. It uses two tiers of erasure as a result of they had a day the place they lost four hundred disk drives within the equal day, which is not a whole lot in comparison to the inhabitants of disk drives however is still a lot of disk drives to lose in the same day. They built it so it may protect itself from such things and preserve a lot of information around – hundreds of petabytes around near the machine – to be in a position to restart and go backwards in time and the like, which might be all issues that their scientists wish to do.
one other huge factor that we're super interested in is efficiency. They don’t truly buy machines for flops at Los Alamos, they purchase machines for operating an issue within the most excellent means that they will to try to get answers in human times. so you won’t discover the word flop in any of their RFPs in the last decade. It’s definitely about apps and workflows and the way they will get essentially the most variety of these workflows via a device in its lifetime when the workflows are these gargantuan issues which are petabytes of DRAM in measurement and so on. We’re variety of a bit diverse in that regard. They are trying basically difficult to service these applications. They don’t have loads of purposes, but they do important work certifying the weapons complex.
those are probably the most things we’ve done recently, engaged on these efficient machines and making I/O effective to be able to run these gargantuan things for long durations at a time etc. That’s some of it.
Black: super stuff. neatly, you’ve likely touched on probably the most syllabus right here I’m about to ask about, however looking at the massive photo, what are your ideas about where HPC is headed? Are there traits in place that you’re excited about? I’m certain there are. additionally, are there areas that provide you situation?
Grider: I view this world as leveraging things. HPC hasn’t been the largest ship on the sea for fairly a while. actually, it changed into between the 40’s and 80’s but, you be aware of, late ninety’s and beyond it certainly wasn’t and it isn’t now. Cloud and other kinds of issues are large in scale compared to HPC. So we’ve at all times sort of been about leveraging ever since they grew to become the smaller ship in the sea.
There had been some pleasing issues to leverage, just like the crusade store, they leveraged expertise from cloud, erasure, and stuff like that. Leveraging flash, of path, the burst-buffer changed into a herbal factor todo. We’re attempting to work out how to leverage NVMe. NVMe over fabric look like really cool things toleverage. sensible networks are coming alongside, there is silicon in every single place so that you can leverage to dump a part of your difficulty to networks and the like. We’re investigating that as well as offloading to storage and i feel that’s exciting. finally, americans are beginning to talk about mixing one of the crucial memory bandwidth complications and processors and that’s form of entertaining. There are things that are developing that appear fairly leverageable and will movement us ahead.
The half that I feel bothers me a little bit is that classical simulation, which is about eighty p.c of what they do on the lab if no longer greater, appears to be falling out of fashion in being the interesting aspect to work on. Of direction, there’s AI and computing device getting to know and quantum and every kind of issues which all of us ought to be involved in and they all have to pay consideration to, however feels like simulation has taken no longer just a back seat however is in a trailer attached to the back of the vehicle. There are nevertheless large problems to clear up in that area and they haven’t really come near solving them in human instances. in case you suppose of me announcing they ran an issue for seven months on 10,000 nodes and a petabyte of DRAM, that’s now not exactly human studying time, correct? That’s seven months to get a outcome. You don’t get to discuss that once every week together with your friends because it takes too lengthy to get the answer. those types of complications are going to develop into hobbies on the earth that they live in.
I see only a few individuals interested in that issue. I see approach extra americans attracted to going the place the money is, which is natural. Go after AI, there’s the place the funds is. Go do unique quantum things, that’s the place the funds is. We’re doing that, and that’s all superb and that’s incredible and they need to do that, but I simply worry that simulation is getting just a little of a uncooked deal this present day and we’re constructing machines that aren’t terribly well designed and usable for gigantic-scale, advanced simulations. There are not enough americans doing it, interestingly, or now not sufficient force, or it’s simply not horny adequate anymore to draw the “A-crew” at any company. That’s my huge challenge, that huge, large, extremely complex simulation is chucking up the sponge.
Black: AI is actually the shiny, vibrant new object, besides the fact that children I’ve also heard of this convergence of AI and simulation which sounds find it irresistible has exquisite knowledge.
Black: tell us a little bit about your heritage in HPC. How did you get involved in HPC in the firstplace?
Grider: neatly, that’s a long story. I came out of faculty as an electrical engineer who was classically trained in container idea, so I involved about transmission line container concept variety of stuff. Digital became just beginning in math departments. every thing became still analog then. I went to work for Sandia in the Wind energy program the first time there changed into a Wind energy application again within the 80’s, designing magnets and so on. That ended when OPEC determined they’d make oil low-cost again for a decade and put all of that stuff out of company. i used to be looking around attempting to figure out what to do and i knew a whole lot about magnetics, and somebody cautioned I get thinking in information storage. That’s type of how I entered the digital world and that i worked at Sandia in that area for a short time after which got here to Los Alamos as a contractor, and eventually as an worker, by and large working in colossal-scale information storage needs and applications. That turned into in the HPC firm in both labs, so that’s form of how I acquired into HPC and that’s how I received into storage as well. It became by way of happenstance.
Black: neatly, an excellent profession and still going. they would like you the best of luck for your future endeavors andthanks so much for joining us today.
Grider: thanks on your time.
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