会议介绍
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Research Institution Attendees CNY 1000
Corporate Attendees CNY 2000
Registration fees: including conference expenses and three meals a day during the conference period.
【】On behalf of the program committee, we cordially invite you to attend the “MIC and GPU Solutions to Multiscale Problems in Science and Engineering Workshop 2014” (MIC-GPU2014), supported by Supercomputing Center, Computer Network Information Center, Chinese Academy of Sciences and Cold and Arid Environmental and Engineering Research Institute of Chinese Academy of Sciences. We are planning to hold the workshop in Xining, Qinghai, China Aug 22 – 25, 2014 (Friday through Monday) with people arriving in time for a reception on Aug 22 (Friday).
The next few years will see the passing of the petascale, and the dawning of the exascale era. This transition will be largely driven by the adoption of accelerators, such as Graphics Processing Units (GPU) and many-core CPU (e.g. MIC from Intel), and the creation of large hybrid machines. This international conference in Changchun will focus on understanding the potential usage of GPU and MIC from a computational scientific user point of view, particularly for multiscale problems in science on engineering. It brings together experts from China, Japan, and bordering Pacific countries such as the USA, Korea，Australia and Singapore. In addition to algorithmic research, we will focus on high level libraries and programming environments, such as PETSc from Argonne National Laboratory, USA, and visualization tools, that can improve the performance and productivity of large-scale applications. These advancements in GPU and accelerator research will be illustrated by both computational kernels and entire large-scale applications, which exercise these tools and libraries. The conference will bring together scientists with algorithm and hardware designers, especially students and young researchers, who are heavily involved in application studies for GPU, MIC, or hybrid systems. This will familiarize everyone with the challenges we will face using the coming architectures and give us a chance to learn from each other the wonderful opportunities available in the near future for surmounting them.
Topics:
1. Large-scale problems using GPU and hybrid systems
2. physical, chemical, biological, geological and industrial applications
3. Techniques for optimizing kernels in GPU and other many-core systems ( MIC)
4. mixed precision computing
5. Benchmarking and performance evaluation for GPU, MIC, and hybrid systems
6. Visualization tools and techniques to help applications for GPU, MIC, and hybrid systems
7. Aspects of Green Computing from GPU and MIC
8. The relative advantages of directives versus libraries in converting legacy codes to Green Computing