The Supercomputing Asia team was recognised with two awards at the Media Publishers Association Singapore (MPAS) Awards and Media Ball 2017 while its flagship publication, Asian Scientist Magazine was conferred four awards, jointly sweeping up all awards for education, science and technology categories!
Held at Fullerton Hotel Singapore on 26 September 2017, the annual MPAS Awards honours outstanding media publishers in Singapore, acknowledging the significant accomplishments, exceptional talents and best practices of Singapore’s magazine publishing industry.
With over 200 entries from 50 publishers members submitted this year, vying for the accolades, Mr. Oliver Burlot, the elected president of MPAS is proud to share about how dynamic and healthy the publishing scene is.
Produced in partnership with the National Supercomputing Centre (NSCC) Singapore, Supercomputing Asia launched its inaugural issue in January 2017, focusing on Asia’s rapid rise in the arena of high performance computing. It seeks to serve as a single stop resource for both milestones as well as trends within the supercomputing community in the region.
Clinching the Science Trade Media Of The Year and Technology Trade Media Of The Year prizes, Dr. Rebecca Tan, editor-in-chief of Supercomputing Asia comments, “We hope that our win will help to highlight the importance of supercomputing to the research enterprise and help make it accessible to a wider audience”.
Supercomputing Asia Issue #1 was also awarded in June 2017, the Silver award for the Print / Print Editorial category at the 10th Annual IDA (International Design Awards).
Together with Minister Heng Swee Keat and colleagues from National Research Foundation (NRF), DPM Teo Chee Hean spent an afternoon at NSCC to understand more about the capability of ASPIRE 1 as well as impacts it has on a multitude of industries and research disciplines, spanning from next generation container ships, simulations of earthquakes impact to genome sequencing for 10,000 Singaporeans.
The projects that were showcased during the visit:
High-Efficiency Liquid Cooling and Vortex Flow for Thermal Management of Next Generation Data Centres in the Tropics
Designing the next generation green data centre – this small motor in the middle can help liquid coolants move around the circuit board and reduce overheating.
NUS: National Electron Microscopy imaging from NTU NISB and NUS CBIS
The Singapore National Electron Microscopy Network uses supercomputing to look at atomic-level interactions to analyse the interactions between synthetic drugs and the human body at a cellular level, and look at nanometer-scale structures for 3D electronics.
CSIRO-ARTC-NAMIC – Secure Distributed Factories of the Future
Enabling factories of the future – With supercomputing, you can send large data or design files overseas and print them in 3D.
A*STAR: Population Genomics – The SG10K Project
The SG10K project aims to sequence the genome of 10,000 Singaporeans and process the insights to enhance healthcare.
NTU: Earth Observatory of Singapore
Earth Observatory of Singapo
Keppel: Innovating towards Design Digitalisation featuring HPC modelling
Keppel Offshore & Marine Technology Centre uses supercomputing to model and build new container vessels.
Liquid Cooling Technologies for Greener Data Centres
Combining the most advanced research, technologies and innovations from Singapore and Europe, NUS, IMDA, NSCC and EKWB/MINT are partnering to develop a range of next generation cooling solutions that enable a new level of high energy efficiency and high-density compute power integration for future green data centres. The team is working on high efficiency warm and chilled liquid cooling with novel material combinations and fin structures which result in a highly efficient green data centre.
ISC 17, Frankfurt, Germany, 21 June – Alongside formidable teams from Tsinghua University and Beihang University, beating eight other teams from various international universities, Team from Nanyang Technological University (NTU), sponsored by NSCC and led by Associate Professor Francis Lee Bu Sung, won the Deep Learning Challenge Award for solving the Captcha Challenge and achieving the highest degree of model accuracy at ISC 2017’s student cluster competition, now into its sixth edition. This special award was sponsored by Baidu Cloud.
There were a total of eleven teams from around the world participating this year in Frankfurt, to build a small cluster of their own design to compete in the competition and to test their High Performance Computing (HPC) skills by optimising and running a series of benchmarks and applications.
SC 17, Denver, United States, 17 Nov – The NSCC-sponsored student team from NTU shattered two benchmark records with their cluster, posting a SCC LINPACK score of 51.77 TFlop/s, beating the previous record of 37.05 TFlop/s, held by Germany’s Friedrich-Alexander-Universitat (FAU).
The team then went on to capture the competition’s HPCG record — a benchmark meant to mimic modern HPC workloads — with a score of 2,056, easily topping the 1,394 record set by the Purdue/NEU team six months ago at ISC’17.
With the two record-breaking wins, it is little surprise that Team NTU was conferred the honour of SC17 Overall Winner, out of a total of 16 teams, hailing from China, Germany, Poland, Singapore, the United States and Taiwan.
“I was a little surprised we won,” admitted modest Nanyang Technical University team co-leader Liu Siyuan, whose team was considered a long shot by industry experts.
“We are very excited to finish ahead of such strong teams,” the other co-leader Shao Yiyang added, who also said they knew the team to beat was China’s Tsinghua University student team. Tsinghua was the favoured team, having won two previous international student cluster competitions in 2017, at ASC17 in Wuxi, China, as well as ISC17 in Frankfurt, Germany.
Congratulations to Team NTU on their wins!
NSCC is embarking on SupercomputingAsia 2018 (SCA18), an inaugural annual conference that will encompass an umbrella of notable supercomputing and allied events in Asia with the key objective of promoting a vibrant and shared HPC ecosystem in Asia, where the most exciting HPC developments are taking place.
SCA18 will be held from 26 to 29 March 2018 at Resorts World Convention Centre, Singapore.
The scientific programme of SCA18 has its roots in Supercomputing Frontiers (SCF), which is Singapore’s annual international HPC conference which provides a platform for thought leaders from both academia and industry to interact and discuss visionary ideas, important global trends and substantial innovations in supercomputing. The conference was inaugurated in 2015 and helmed by A*STAR Computational Resource Centre (A*CRC). In March last year, the National Supercomputing Centre (NSCC) Singapore took over hosting of Supercomputing Frontiers 2017 (SCF17).
SCF17 was attended by over 450 delegates from over 12 different countries. Riding on the success of the Supercomputing Frontiers conference series, SCA18 programme highlights will include: HPC Technology Updates & Case Studies, Scientific paper presentations, Academic activities & workshop for students and Co-located HPC events.
Co-located events include:
Asia-Pacific Advanced Network Meeting (APAN45)
Conference on Next Generation Arithmetic (CoNGA)
Singapore-Japan Joint Sessions
Supercomputing Frontiers Asia (SCF Asia)
Towards an Asia Pacific Research Platform (APRP)
Lecture Session Invitation:
Machine Learning and AI in Biomedicine
(Due to overwhelming responses, registration for the session is now closed.)
Date: 22 December 2017
Time: 6.00 pm – 7.00 pm
Location: Charles Babbage Room,
National Supercomputer Centre, Singapore, 1 Fusionopolis Way, #17-01 Connexis South
The World’s total data is currently doubling every two years. This data expansion includes not only the
growth in quantity, but also in complexity and the types of data. The enormous rate of generation and online
access to data is profoundly changing the way how health business and biomedical research is
conducted. Biomedical data include R&D data, clinical data, activity and cost data, patient behavior data,
basic science data, and standards and ontologies, among others. Big Data approaches are increasingly
needed for utilization of results from various Omics studies and their translation into clinical practice.
These applications include predictive and content analytics for a variety of applications that support drug
discovery and optimization, the development of new diagnostic methods, and personalization of
medicine. Biomedical data vary in granularity, quality, dimensionality and complexity. There is a variety
of sources and data formats – web pages, publications, technical reports, images and graphs, tables, and
databases. The challenge is to make the transition from data to actionable knowledge. An emerging area
is the use of knowledge-based approaches for Big Data analytics whereby well-annotated data are
combined with specialized analytical tools and integrated into analytical workflows. A set of well-defined
workflow types with rich summarization and visualization capacity facilitates the transformation from
data to critical information and knowledge that enable understanding, decision making, and selection of
actions for solving various problems. Statistical and artificial intelligence methods are used as analytical
engines to make sense of rich datasets. The emerging Big Data requires dynamic integration of
standardized data into knowledge bases to make selected data sources accessible through integration
with the analytical tools. We will demonstrate the utilization of Big Data Analytics, mathematical
modeling, and artificial intelligence tools as well as challenges with two distinct examples: diagnosis of
endometriosis, and design of universal multivalent vaccines.
Dr. Brusic is a Professor at Menzies Health Institute Queensland, Griffith University, Australia. He is an
Adjunct Professor of Computer Science at the Metropolitan College, Boston University, USA and a Visiting
Professor at Kumamoto University, Japan. Dr Brusic holds BEng (Mechanical Engineering), MEng
(Biomedical Engineering), MAppSci (Info Tech), MBA, and PhD degrees. He holds a Honorary Doctorate in
Medicine from Semmelweis Medical University, Budapest, Hungary.
His previous positions include faculty or PI appointments at Harvard Medical School (Boston, USA),
University of Queensland (Brisbane, Australia), National University of Singapore, Nanyang Technological
University (Singapore), Institute for Infocomm Research (Singapore), and Walter and Eliza Hall Institute
for Medical Research (Melbourne, Australia). Dr Brusic is an Associate Editor of Frontiers in Immmunology
and an Editor of Briefings in Bioinformatics. He has published more than 200 scientific publications and
two patents. His work has attracted 12,000 citations and h-index of 47. The list of publications can be
found here: https://goo.gl/qRSmQe
His work is in the fields of Bioinformatics and Medical Informatics in immunology, cancer, medical
diagnostics, and modeling of biological systems. His research interests span the fields of Big Data analytics,
Biological Databases, computational modeling of biological systems, simulation of molecular interactions,
and biological discovery using simulation of laboratory experiments. He has developed knowledge-based
systems for biological data mining and knowledge discovery. Recently, Dr. Brusic has been developing a
new field of elemental metabolomics that focuses on the study of elements in biological and
environmental samples, transfer of elements along the food chain and environmental exposure, and their
effects on human health.
Jointly organized with: