ParLearning 2012 - overview
(Click Here for Chinese Version)
Workshop on Parallel and Distributed Computing for Machine Learning and Inference Problems
Shanghai, China, May 25, 2012
In Conjunction with IPDPS 2012
|[TALK - 1]
NEC Laboratories America, USA
"Accelerating Machine Learning on Heterogeneous Clusters: Lessons Learnt and Future Directions"
The past decade has witnessed general-purpose hardware platforms evolving from single-core processors to multi- and many-core processors like the GPU and the more recent Intel MIC. The decade has also witnessed the birth (and death) of some special-purpose hardware accelerators. At the same time, applications are evolving to impose more stringent performance constraints and big data requirements. In this talk, we will describe our experiences in parallelizing and accelerating machine learning algorithms. Starting from parallelizing SVM on a cluster of dual-core machines back in 2005, we will walk through our experiments in designing FPGA-based learning engines, accelerating image classification using GPUs, and finally parallelizing digital pathology on current high-end clusters. In each case, we will summarize what worked, what did not, what was hard, what was easy and what we learnt.
Hari Cadambi is a senior research staff member at NEC Laboratories America in Princeton, New Jersey, USA. His interests span the breadth of parallel computing systems, including programming frameworks, runtimes and hardware infrastructure. He currently works on software and middleware for heterogeneous clusters, and is particularly interested in how heterogeneity due to the use of many-cores like the GPU or the more recent Intel MIC may be used to improve performance and energy efficiency of big data applications.
[TALK - 2]
IBM Research - China
"DeepQA technique and its application on healthcare domain"
The supercomputer Watson has beaten the human beings in the Jeopardy! game, which demonstrates the ahead of IBM in artificial intelligence. The goal is to have computers start to interact in natural human terms across a range of applications and processes, understanding the questions that humans ask and providing answers that humans can understand and justify. In fact, Watson's breakthrough computation & analytic capability could help to build a smarter planet and help people's work and life. For example, Watson could help doctors to diagnose patients' disease, help to improve the online self-service center, provide information for tourists and citizens, etc. In this talk, we will introduce the challenges we encountered to build watson, and discuss the Watson's DeepQA technique and system architecture to support high performance computing. We will also talk its potential applications in healthcare domain.
Dr. Feng Cao, Research Staff Member, is the manager of Business Intelligence & Semantic Search in IBM Research - China. He and his team focus on semantic technology and innovation applications in healthcare. Their research results have been successfully applied in China main land, Taiwan, Korea and US, selected into the final list of Wall Street Asian Best Innovation Award 2010, IBM Century Celebration Global Reference Cases 2011, and demonstrated in CeBit 2011 (the No.1 Business Technology Exhibition, Global Conferences and Networking events) in Germany, Asian HIMSS, MIE in Norway and IOD in US. He got 16 patents filed.
|Call For Papers
|(PDF, TXT, Chinese/中文)
Learning and inference using large scale Bayesian Networks
| Important Date (US Eastern Time)
| Paper Guidelines (camera-ready only)
|Camera-ready manuscripts are expected to be 10 pages in the IEEE conference style, including figures, tables, and references.
Authors can purchase up to 2 additional pages for camera-ready papers after acceptance. Please find details on www.ipdps.org.
Here are the style templates:
LaTex Package (ZIP)
Word Template (ZIP)
Check the IPDPS web page for additional information (www.ipdps.org) shortly after the author notification
All papers must be submitted through the EDAS portal. Click HERE or visit http://edas.info/N11575 to submit your paper.
Please follow the instructions on IPDPS web (http://www.ipdps.org/ipdps2012/2012_author_resources.html) (see section IPDPSW AUTHORS (Workshops & PhD Forum)) for preparing and submitting your camera-ready paper. Please pay attention to the hard deadline. Authors may want to upload a version of your paper a few days before the deadline so as to check the format of your camera-ready version.
Students with accepted papers may have a chance to apply for a travel award. Please find details at www.ipdps.org.
Please find our Paper ID as follows:
|All papers accepted by the workshop will be included in the proceedings of the IEEE International Symposium on Parallel & Distributed Processing, Workshops and PhD Forum (IPDPSW), indexed in EI and possibly in SCI.|
|Registration and Hotel Info|
|At least one author must register for the workshop via IPDPS registration page (http://www.ipdps.org/) and present the paper at the workshop. The registration fees are available HERE.
Attendees should book hotel rooms themselves. The conference hotel is the Regal Shanghai East Asia Hotel, Set in the Xu Jia Hui commercial district, the Regal Shanghai East Asia Hotel is 15 minutes from the Heng Shan Road entertainment area, 25 minutes from downtown, and convenient to Shanghai's industrial zones. The hotel offers a full service business center, sophisticated meeting and conference facilities, Premier and Regal Club Floors, five restaurants and bars, and a state-of-the-art health club and indoor heated swimming pool.
The Special Run-of-the-house Rates for IPDPS 2012 are available HERE. These special guaranteed rates are available from May 16th through May 30th. This rate cannot be guaranteed for reservations made after April 20, 2012.
Please find the 3 ways to make reservations at http://www.ipdps.org/ipdps2012/2012_hotel.html
Please feel free to book other hotels up on your convenience.
Sutanay Choudhury, Pacific Northwest National Laboratory, USA
George Chin, Pacific Northwest National Laboratory, USA
Yinglong Xia, IBM T.J. Watson Research Center, USA
Yihua Huang, Nanjing University, China
John Feo, Pacific Northwest National Laboratory, USA
Chandrika Kamath, Lawrence Livermore National Laboratory, USA
Anshul Gupta, IBM T.J. Watson Research Center, USA
Arindam Banerjee, University of Minnesota, USA
Weizhu Chen, Microsoft Research, China
Jatin Chhugani, Intel Corp., USA
Edmond Chow, Georgia Tech, USA
Tina Eliassi-Rad, Rutgers University, USA
Mahantesh Halappanavar, Pacific Northwest National Lab, USA
Lawrence B. Holder, Washington State U., USA
Yihua Huang, Nanjing University, China
Yan Liu, University of Southern California, USA
Arindam Pal, Indian Institute of Technology, India
Yangqiu Song, Microsoft Research, China
Oreste Villa, Pacific Northwest National Lab, USA
Jun Wang, IBM T.J. Watson Research Center, USA
Yi Wang, Tencent Holdings Lt., China
Haixun Wang, Microsoft Research, China
Lexing Xie, Australian National University, Australia
| Local Information
|Shanghai, with a population of more than 23 million (with over 9 million migrants), is one of the largest and most developed city in China. Shanghai was the largest and most prosperous city in the Far East already during the 1930's, and has remained the most developed city in mainland China. In the past 20 years Shanghai has again become an attractive city for tourists from all over the world. The world once again had its eyes on the city when it hosted the 2010 World Expo, recording the greatest number of visitors in the event's history...(click here)
Travel information of Shanghai can be find in here.
|Should you have any questions regarding the workshop or this webpage, please contact yxia ~AT~ us DOT ibm DOT com, or sutanay DOT choudhury ~AT~ pnnl DOT gov.|