For those few of you who aren’t slavishly following these contests, here’s a quick explanation.
In a student cluster competition, teams of undergrads design their own clusters, work with vendors to make their dreams come true, and then bring their machines to HPC events (SC, ISC and ASC) to compete live on a series of benchmarks and real HPC applications.
The only constraint is that they are not allowed to use more than 3,000 watts. It’s the law.
The organizing committee has turned up the competition pressure to 11, as you’ll see by the applications the students need to complete below.
Benchmarks: Nothing on this front has changed from previous competitions. They’ll still be running HPCC (The HPC Challenge) benchmarks, with a special run of HPL (LINPACK) that will decide the Highest LINPACK award. They’ll also be running HPCG (Conjugant Gradient), which will severely test their systems’ ability to work with sparse matrix math and stuff. As benchmark designer Jack Dongarra once said to me: “HPL and HPCG are bookmarks – with HPL showing you the best your system can perform and HPCG showing you the worst performance you’ll probably ever see.”
Bring on the Science!
On the application side of the competition, the organizers are throwing curve balls and nasty sliders. Here’s what the students will be swinging at…
FEniCS: If you need to run some partial differential equations, chances are you’re a FEniCS fan. It’s a quick way to translate scientific models into efficient element code. It features Python and CII interfaces, which makes it easy to get started, but it has a whole lot of power under the hood, which allows experienced programmers to make it scream.
Coding Challenge MiniDFT: First, MiniDFT is a plane-wave density function that’s used for modeling materials. Give it a set of coordinates and pseudopotentials and it will compute self-consistent solutions of the Kohn-sham equations – which is sort of common knowledge, right?
The student teams ran a test case with an input set provided by the organizers before the competition. Then they have to run the same input case during the competition and prove that they can replicate a similar timing during the competition run. Then they can tune and optimize the code to run even faster, modifying any of the code they can, and then run the same input case.
TensorFlow: This is an open-source software library used for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations while the graph edges represent the multidimensional data arrays (called tensors) communicated between them. This is one of the base programs developed by Google Brain engineers for the purpose of machine learning and deep neural network research. However, it’s general enough to be used in a wide variety of other domains.
The HPC Advisory Council (big-time sponsor and organizer of the ISC competitions) has been working with Baidu to design the deep learning tasks for the students. They’re going to be running CAPTCHA image recognition using the TensorFlow framework with the Keras high-level neural network API. Teams will be scored on how well their model correctly recognizes CAPTCHA images from an untrained data set. The team with the highest degree of accuracy will get the most points.
Secret Application: This one is a secret. Even highly-placed insiders refused to comment or speculate on the identity of the secret app. Even after I plied them senseless with alcohol.
The scoring breakdown is 10 per cent for the benchmarks, 80 per cent for application runs, and 10 per cent for the interview with HPC experts on what the teams know and what they’ve learned.
There will be five awards given out for this competition. The Overall Championship goes to the team with the best performance on all tasks. Second and third places will also receive awards. Another award goes to the team with the highest LINPACK score, and there’s an award for the Fan Favorite, which is derived from online voting during the show.
As always, we’ll be covering all aspects of this event like skin. Next up we’ll meet the teams in touching and sensitive up-close-and-personal interviews.