The 8th International Workshop on Parallel and Distributed Computing for Large-Scale Machine Learning and Big Data Analytics (ParLearning 2019)

August 5, 2019
Anchorage, Alaska, USA

In conjunction with the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019)
August 4-8, 2019
Dena’ina Convention Center and William Egan Convention Center
Anchorage, Alaska, USA
KDD 2019 logo

Program (August 5, 2019)

8am - 8:05am: Introduction to ParLearning 2019
8:05am - 9am: Keynote talk 1: Dr. Lifeng Nai (Google Research, Mountain View, CA, USA)
9am - 9:30am: Regular paper 1: Large Scale Cloud Deployment of Spectral Topic Modeling
9:30am - 10am: Coffee break
10am - 10:45am: Keynote talk 2: Professor V.S. Subrahmanian (Dartmouth College, Hanover, NH, USA)
10:45am - 11:30am: Keynote talk 3: Dr. Satish Nadathur (Facebook Research, Menlo Park, CA, USA)
11:30am - 12pm: Regular paper 2: Expedite Neural Network Training via Software Techniques
12pm - 12:30pm: Regular paper 3: Scaling up Stochastic Gradient Descent for Non-convex Optimisation

Call for Papers

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

Using

On

Awards

Best Paper Award: The program committee will nominate a paper for the Best Paper award. In past years, the Best Paper award included a cash prize. Stay tuned for this year!

Travel Awards: Students with accepted papers will get a chance to apply for a travel award. Please find details on the ACM KDD 2019 website.

Important Dates

Paper Guidelines

All submissions are limited to a total of 6 pages, including all content and references, and must be in PDF format and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available online as the ACM Master Article Template. Papers that do not meet the formatting requirements will be rejected without review.

All submissions must be uploaded electronically at EasyChair.

Special Issue

We are planning to publish a special issue of a journal, consisting of the best papers of ParLearning 2019. We are about to publish a special issue of the Springer journal Future Generation Computer Systems, containing the selected papers of ParLearning 2017.

Keynote Speakers

Organization

Past Workshops

The first 7 editions of ParLearning were organized in conjunction with the International Parallel and Distributed Processing Symposium (IPDPS). The details of the past workshops can be found on the old website of ParLearning. From 2019, the organizers have decided to conduct it with KDD.