Workshops and Sessions

— OpenSource HPC collaboration on Arm Architecture──Linaro workshop

This workshop will bringing together the leading Arm vendors, end users and open source development community to discuss the latest products, developments and open source software support in HPC on Arm. We will examine how the Arm-powered supercomputing future will look like and how we can prepare for it.

For more information, please click here.

— Deep Learning for Science DL4Sci

Deep Learning is an emerging field with numerous utilities in the real world, ranging from commercial applications to traditional scientific domains. Its ability to process large volumes of data to find interesting trends has found a number of opportunities in practically all aspects of life. This workshop on Deep Learning for Science aims at bringing together researchers studying both hardware and software aspects related to deep learning as applied to science, it is to serve as a forum to discuss the most recent development on deep-learning based research and its applications to science.

For more information, please click here.

— High Performance Numerical Algorithms and Software for Large-scale Science & Engineering Applications

Parallel numerical algorithms and software play a key role in high performance scientific and engineering applications. The resolution of increasingly diverse length as well as time scales is becoming possible with exciting advancement in both hardware and software capabilities. As concurrency in today’s supercomputers increases rapidly, and the architecture of the machine becomes more and more complicated, scalability in both complexity and parallelism becomes one of the most challenging issues in algorithm and software design. This workshop is to provide a forum for experts from the countries around Asia and Pacific to discuss the recent progresses of high performance numerical algorithms and software.

For more information, please click here.

— Bench-marking in the Data Center

While traditional cloud and high performance computing workloads are quite different, many of the components used in high performance computers are also used in traditional data centers. Furthermore, big data and high performance computing are converging, both in terms of hardware and software used. It is therefore helpful to have a common subset of performance metrics that are useful in assessing data center efficiency. Of particular interest, is that more than half of the computers on the Top500 list are in Asia.

For more information, please click here.

— IXPUG Asia Workshop

The Intel eXtreme Performance Users Group (IXPUG) is an independent users group whose mission is to provide a forum for the free exchange of information that enhances the usability and efficiency of scientific and technical applications running on large HPC systems using the Intel architecture. This is an open workshop on high performance computing application, system and architectural with Intel technologies. The workshop is the second IXPUG Workshop in Asian Region and the first one was held in Tokyo within HPC Asia 2018.

For more information, please click here.

— Challenges and Opportunities Facing Supercomputing Centers around World

An increasing number of HPC systems are being deployed in different sites around the world. Some of the sites have operated several generations of systems while some are newly founded. With the changes brought about by the development of big data and deep learning, supercomputing centers around the world are faced with challenges such as system software and architecture. At the same time, opportunities arise with changes. This workshop will gather leaders and scientists from different supercomputing centers/sites from around the world to discuss those challenges and opportunities, with the aim to bring about international collaboration in related fields.

— Vendor Vision