Fourth Annual Asian Supercomputing Challenge Winners Revealed

By Tiffany Trader

May 27, 2015

The fourth annual Asian Student Supercomputing Challenge concluded last Friday evening with a grand celebration dinner for all the finalists, their advisers, and invited guests at the old Taiyuan University of Technology campus in Taiyuan, China. All 16 teams, nearly 100 students total, were being honored not only for their efforts over a grueling five-day competition, but for making it to the final round from an initial pool of 152 registered entrants in the largest student supercomputing contest in the world.

After two days of application debugging (Monday and Tuesday), followed by two days of application testing and presentations (Wednesday and Thursday), the awards were revealed to a packed audience at the closing celebration held on Friday afternoon. Presiding officials included president of the host institute Taiyuan University of Technology, Lv Ming, and the head organizer, Liu Jun, ASC initiator and general manager of Inspur HPC.

By competing in six application optimization tasks and one team presentation, each student group had the opportunity to earn 100 points total. Over $36,000 in prize money was awarded, thanks to the generous support of Inspur, Intel and other sponsors.

Here is the listing of this year’s winners along with their award amount.

Champion (~$16,000): Tsinghua University

ASC15 Champion - Tsinghua University - 600x

Silver Winner (~$8,000): National University of Defense Technology

ASC15 Silver - NUDT 600x

e-Prize (~$4,385): Sun Yat-sen University

ASC15 - ePrize - Sun Yat-Sen 600x

Highest LINPACK ($1,600): Nanyang Technological University (Singapore)

ASC15 Highest LINPACK - NTU 600x

Best Presentation (~$1,600): Taiyuan University of Technology

ASC15 Best Presentation - TUT 600x

Application Innovation Award (four x $1,600): Tsinghua University, National University of Defense Technology, National Tsing Hua University (Taiwan) and Shanghai Jiaotong University.

Teams are comprised of five undergraduate students and their adviser. The ASC committee and INSPUR provide teams with clusters, spare parts and hardware for the MIC optimization challenge (aka e-Prize challenge). As with the other student supercomputing challenges, there is a 3000 watt power consumption limit. If power consumption exceeds this limit continuously for more than 30 seconds, or goes over 3100 watts, the team must stop the current run and those results will be invalidated.

After the allotted application debugging period, the contest began in earnest with LINPACK benchmarking and five popular application optimization tests. ASC15 included three popular science apps – NAMD, PALABOS and WRF-CHEM – and one surprise app, which this year was the High Performance Conjugate Gradients (HPCG) Benchmark. HPCG is a self-contained benchmark that generates and solves a synthetic 3D sparse linear system using a preconditioned conjugate gradient method. The benchmark is being considered as a more relevant way to rank HPC systems than the LINPACK benchmark, which has served the community well for many years, but is no longer representative of today’s HPC applications.

There is also an e-Prize challenge to test students’ ability to take serial code and parallelize it for the Intel Xeon MIC architecture. ASC aspires to see the e-Prize award become the Gordon Bell Prize of student supercomputing, and as such it is meant to be “practical, challenging, and interesting.” This year, the gridding portion of the SKA science application was selected for this difficult task.

Used in the largest international astronomy cooperation project SKA (square kilometer array telescope), gridding is one of the most time-consuming steps in SKA data processing. To reconstruct the image of sky from the data collected by the radio telescope, scientists need to take the irregular sampled data and map it onto a standardized 2-D mesh. The process of adding sampled data from the telescopes to a grid is called gridding. After this step, the grid can be Fourier transformed to create a sky image. Consider that the data produced by SKA per second is expected to exceed 12TB and nearly 50 percent of this astronomy data need to be processed through gridding.

It is the intention of the ASC committee that by participating in this challenge, the students are getting hands-on experience with supercomputing applications that are fundamental to solving the problems of Asia and the world at large. In addition to the gridding app, key to understanding the universe, students were also tested the molecular dynamics software NAMD, which scales to simulate molecules at massive core counts; the air quality numerical model WRF-CHEM, which is widely used to simulate the forming process of smog; and PALABOS, a software tool that offers a powerful environment for CFD simulations.

The winners in the specific categories and their scores were as follows:

LINPACK: Nanyang Technological University with 11.92 teraflops, a new record.

NAMD: Tsinghua University with a score of 12.61 points.

WRF-CHEM: National University of Defense Technology with 12.10 points.

National Tsing Hua University and Shanghai Jiaotong University were also awarded prizes for application innovation, but their scores were not available at the time of writing.

After four years of development, the ASC Student Supercomputer Challenge has become the largest event of its kind. The number of participating teams this year rose to 152, a growth rate of 85 percent compared with 82 teams last year. The number of overseas universities reached 47, an increase of 135 percent over the previous year. The ASC15 event also featured an HPC workshop, held Thursday afternoon, focused on the most relevant supercomputing applications for Asia, many of which rely on the same codes used in the competition.

Stay tuned for more coverage from this exciting event.

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!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it 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…

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…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia 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…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � 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…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t 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…

Leading Solution Providers

Contributors

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…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E 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…

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…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

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…

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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire