Please, accept our apologies in case of multiple copies of this CFP.
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The 7th International Workshop on Parallel and Distributed Computing for
Large Scale Machine Learning and Big Data Analytics
May 21, 2018
Vancouver, British Columbia CANADA
http://parlearning.ecs.fullerton.edu
In Conjunction with 32nd IEEE International Parallel & Distributed
Processing Symposium.
Scaling up machine-learning (ML), data mining (DM) and reasoning
algorithms from Artificial Intelligence (AI) for massive datasets is a
major technical challenge in the time of "Big Data". The past ten years
have seen the rise of multi-core and GPU based computing. In parallel
and distributed computing, several frameworks such as OpenMP, OpenCL,
and Spark continue to facilitate scaling up ML/DM/AI algorithms using
higher levels of abstraction. We invite novel works that advance the
trio-fields of ML/DM/AI through development of scalable algorithms or
computing frameworks. Ideal submissions should describe methods for
scaling up X using Y on Z, where potential choices for X, Y and Z are
provided below.
Scaling up
• Recommender systems
• Optimization algorithms (gradient descent, Newton methods)
• Deep learning
• Sampling/sketching techniques
• Clustering (agglomerative techniques, graph clustering, clustering
heterogeneous data)
• Classification (SVM and other classifiers)
• SVD and other matrix computations
• Probabilistic inference (Bayesian networks)
• Logical reasoning
• Graph algorithms/graph mining and knowledge graphs
• Semi-supervised learning
• Online/streaming learning
• Generative adversarial networks
Using
• Parallel architectures/frameworks (OpenMP, OpenCL, OpenACC, Intel
TBB)
• Distributed systems/frameworks (GraphLab, Hadoop, MPI, Spark)
• Machine learning frameworks (TensorFlow, PyTorch, Theano, Caffe)
On
• Clusters of conventional CPUs
• Many-core CPU (e.g. Xeon Phi)
• FPGA
• Specialized ML accelerators (e.g. GPU and TPU)
IMPORTANT DATES
• Paper submission: February 16, 2018 AoE
• Notification: March 16, 2018
• Camera Ready: March 30, 2018
PAPER GUIDELINES
Submitted manuscripts should be upto 10 single-spaced double-column
pages using 10-point size font on 8.5x11 inch pages (IEEE conference
style), including figures, tables, and references. Format requirements
are posted on the IEEE IPDPS web page.
All submissions must be uploaded electronically at TBA
TRAVEL AWARDS
Students with accepted papers can apply for a travel award. Please find
details at www.ipdps.org
