[hpc-announce] Submission extension: Workshop on Hardware Accelerated Data Mining to be held at ICDM
Anand Vijayan Panangadan
anandvp at usc.edu
Tue Jul 21 15:39:09 CDT 2015
The submission deadline of the International Workshop on Hardware Accelerated Data Mining (HADM'15) to be held with IEEE International Conference on Data Mining has been moved to July 27, 2015.
14 November 2015, Atlantic City, New Jersey, USA.
Submission page: http://wi-lab.com/cyberchair/2015/icdm15/scripts/submit.php?subarea=S18&undisplay_detail=1&wh=/cyberchair/2015/icdm15/scripts/ws_submit.php
Call for papers:
Data mining is expected to work on increasingly complex workloads (e.g., Petabytes of networked-data under real-time constraints) using emerging hardware accelerators (e.g., commodity and specialized Multi-core, GPUs, FPGAs, and ASICs) and corresponding programming models (e.g., MapReduce, GraphLab, CUDA, OpenCL, and OpenACC). The use of hardware accelerators for mining high-rate data streams is becoming common mainly due to the rapidly increasing amount of data available for real-time analytics. The idea of using special-purpose hardware to accelerate computation has a long tradition in data processing but has thus far not made its way into mainstream data mining. Many essential issues in this area have yet to be explored. For instance, large-scale graph computations are commonplace in many fields. However, this graph data is sparse and highly non-uniform. Graph structure mining algorithms exhibit weak spatial locality when processing graphs with power law distributions and such algorithms are data-intensive and cache-hostile.
The aim of this workshop is to provide a venue for designers, practitioners, researchers, developers, and industrial/governmental partners to come together, present and discuss leading research results, use cases, innovative ideas, challenges, and opportunities that arise from accelerating mining of big data using new hardware, and identify future directions and challenges in this area.
Topics of Interest
* Algorithms, models, and theory of hardware accelerated data mining
* Hardware accelerated data mining systems and platforms
* Scalable algorithms & architectures for Machine learning over structured, semi-structured, spatio-temporal, graph, and streaming data
* Domain-Specific Languages for hardware synthesis of data mining applications
* Novel data mining algorithms optimized for massively parallel architectures
* Hardware acceleration of data mining in applications from different domains, including social science, bioinformatics, and smart grids
Due date for full workshop papers: July 27, 2015
Notification of workshop papers acceptance to authors: September 1, 2015
Camera-ready deadline for accepted papers: September 10, 2015
Workshop date: November 14, 2015
Papers should be at most 10 pages in the IEEE 2-column format (for IEEE Computer Society conference proceedings).
Charalampos Chelmis, University of Southern California, USA; Anand Panangadan, University of Southern California, USA
Technical Program Committee
Jaume Bacardit, Newcastle University, United Kingdom; Zachary Baker, Los Alamos National Laboratory, USA; Rajesh Bordawekar, Thomas J. Watson Research Center, USA; Sutanay Choudhury, Pacific Northwest National Laboratory, USA; Eric Chung, Microsoft Research, USA; Hadi Esmaeilzadeh, Georgia Institute of Technology, USA; Joo-Young Kim, Microsoft Research, USA; Ioannis Koltsidas, IBM Zurich Research Laboratory, Switzerland; Walid Najjar, University of California, Riverside, USA; Arindam Pal, Innovation Labs Kolkata, TCS Research, India; Ippokratis Pandis, Cloudera, USA; Edward Yi-Hua Yang, Google, Inc., USA; Yinglong Xia, IBM Thomas J. Watson Research Center, USA
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