National Supercomputing Centre Singapore announces the 2018 APAC HPC-AI Competition
To foster international exchange in the areas of high-performance computer (HPC) and artificial intelligence (AI), the National Supercomputing Centre (NSCC) Singapore and the HPC AI Advisory Council opened the 2018 APAC HPC-AI Competition for registration.
The competition is open to university and technical institute teams from the entire APAC region, and includes both creating missions and addressing challenges around AI development and testing, and high-performance computing workloads.
Established in 2015, NSCC Singapore manages Singapore’s first national petascale facility with available HPC resources to support science and engineering computing needs for academic, research and industry communities.
Funded by its stakeholders, including Agency for Science Technology and Research (A*STAR), Nanyang Technological University (NTU), National University of Singapore (NUS), and Singapore University of Technology and Design (SUTD), with substantial funding from Ministry of Trade and Industry, NSCC’s vision is to democratise access to supercomputing, and is catalytic in supporting national research and development initiatives, attracting industrial research collaborations and enhancing Singapore’s research capabilities.
The HPC Advisory Council mission is to bridge the gap between HPC use and its potential, bring the beneficial capabilities of HPC to new users for better research, education, innovation and product manufacturing, bring users the expertise needed to operate HPC systems, provide application designers with the tools needed to enable parallel computing, and to strengthen the qualification and integration of HPC system products.
The APAC HPC-AI competition encourages international teams in the APAC region to showcase their HPC and AI expertise through a competition that builds critical skills, professional relationships, competitive spirits and lifelong comraderies.
AI is a pillar of today’s technological world, offering solutions that enable better and more accurate decisions based on the massive amounts of data being collected. It encompasses a wide range of trends and use cases that apply to nearly every industry today, ranging from security, finance, and image and voice recognition, to self-driving cars and smart cities.
HPC enables universities, research laboratories and commercial vendors to develop the products and services of tomorrow – from safer cars and airplanes, to accurate weather and storm prediction, to finding new cures, and much more.
Since HPC and AI applications share the same underlying technologies and infrastructures, new developments in HPC are immediately being adopted for AI, and vice versa.
The target of this competition is to improve and enhance the performance of TensorFlow and/or Caffe2 distributed training implementation over RDMA and GPUDirect technologies.
TensorFlow is an open source software library for numerical computation using data flow graphs. TensorFlow 1.5 supports RDMA and GPUDirect to accelerate distributed training.
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Caffe2 adds support for RDMA.
The winning team will be invited to participate in the 2019 International HPC-ISC Student Cluster Competition, to be held in Germany, June 2019.
The competition will start on March 27, 2018 and continue through until August 2018.
Registration for the competition will close on March 23, 2018.