Seminar of Institute of Information Systems and Applications

Abstract

Negative-Bias Temperature Instability (NBTI) has become one of the most drastic reliability threats in modern IC designs. To tolerance NBTI on multi-core systems, previous researchers have proposed various task assignment and/or dynamic voltage frequency scaling algorithms. Most of the proposed methods maintain all cores in the multi-core system under similar aging conditions (symmetric aging). Although these methods can mitigate NBTI, the symmetric aging may reduce the lifetime of a multi-core system. If a critical task (i.e., a task with a tight timing constraint) arrives when the system has already operated for years, it is possible that none of the equivalently aged cores can complete the critical task within its timing constraints. This unavoidable timing failure then will shorten the lifetime of the system. With the above observation, this paper proposes a novel reliability improvement framework which realize the concept of asymmetric aging by task graph Retiming, task Ordering, task Assignment under asymmetric aging, and Dynamic voltage selection (ROAD) for multi-core systems. Experimental results show that our approach can significantly increase the system lifetime with no or insignificant energy overhead.

Bio:

Dr. Yu-Guang Chen received the B.S. degree and Ph.D. degree in Dept. of Computer Science from the National Tsing Hua University, Hsinchu, Taiwan, in 2009 and 2016, respectively.

In 2014, He was a visiting scholar at Kyoto University, Kyoto, Japan. In 2015, he was a lecturer at Missouri University of Science and Technology, MO, USA. In 2016, he was a research fellow in University of Notre Dame, IN, USA. From 2017 to 2019, he was with the faculty at the Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan. He is currently an Assistant Professor with the Department of Electrical Engineering, National Central University. He has served on the technical program committee of several conferences such as ASP-DAC and GLSVLSI. He also served as co-chair of CADathlon at ICCAD 2019.

His current research interests include low power design/optimization and reliability issues in computer-aided design, especially on power gating, DVFS, NBTI, and 3D-IC optimization.

All faculties and students are welcome to join.

Speaker :   莊偉赳 博士(Cloudera, Inc)

Topic :      Emerging Trends in Big Data Analytics

Date :      11:00-12:00 Wednesday 11-Sept-2019

Location :   台達館R615（Delta Building R615）

Hosted by:  Prof. Jerry Chou

Abstract

The past few years have seen a paradigm shift towards the cloud. Today, the clouds have matured to the point where enterprises are willing to migrate existing applications to the cloud or to build cloud-native applications. That is quickly changing the landscape of Big Data systems.

It is interesting to see different players in the industry employ various strategies and play their strength. In this talk, I will cover the following topics from multiple angles:

1. Scale-out big data systems

2. No more “big” data. It’s just data.

3. Landscape of commercial open source data analytics software

4. Data Engineer communities

5. Open source software developer communities

6. Will the Cloud kill Open Source? How major cloud providers (AWS, Azure, Google) treat open source software vendors. How open source software vendors (MongoDB, ElasticSearch, Confluent, DataBricks, Cloudera) react to cloud vendors’ strategy.

7. Future and Opportunities.

Bio

Wei-Chiu Chuang, Ph.D., Staff Software Engineer

Wei-Chiu joined Cloudera in 2015 as a software engineer, where he is responsible for development of Cloudera’s storage systems, mostly the Apache Hadoop Distributed File System (HDFS) and Apache HBase He is an Apache Hadoop Committer/Project Management Committee member for his contribution in the open source project. He is also a founding member of Taiwan Data Engineering Association, a non-profit organization promoting better Data Engineering technologies and applications in Taiwan. Wei-Chiu received his Ph.D. in Computer Science from Purdue University for his research in distributed systems and programming models.

All faculties and students are welcome to join.