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Camera-Ready Papers Due

April 4, 2018
March 31, 2018

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April 13, 2018
April 9, 2018
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Previous Conferences

2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004

General Co-Chairs

David Kaeli
Northeastern University, US
Miquel Pericas
Chalmers University of Technology, SE

Program Co-Chairs

Miquel Moreto
Barcelona Supercomputing Center, ES
Josef Weidendorfer
Leibniz Supercomputing Centre /
Technical University of Munich, DE

For more information, visit the website at
Computing Frontiers 2018 is proud to announce the following keynote speakers and talks this year:
  • Keynote 1: Arvind
    Low-Power Appliances for Big-Data Analytics Using Flash Storage and Hardware Accelerators
  • Keynote 2: Rosa M. Badia
    Programmability versus performance tradeoff: overcoming the hardware challenges from a task-based approach

Low-Power Appliances for Big-Data Analytics Using Flash Storage and Hardware Accelerators

Arvind, CSAIL, MIT

We live in an age where enormous amount of data is being collected constantly because of smart phones, ubiquitous presence of sensors and the wide-spread use of social media. Useful and cost-effective analysis of this data is the biggest economic driver for the IT industry. Such analyses are often done in data centers or on cluster of machines because they involve applying sophisticated algorithms to terabyte-size graphs, which are extremely irregular and sparse. We will show how low-power appliances for such analyses can be built using flash storage and hardware accelerators. Such appliances are likely to be 10X cheaper than 16-32 node server clusters and will come in the form factor of an SSD to be plugged into your laptop.

This work has been done by Sang-Woo Jun and Andy Wright under my supervision

Arvind is the Johnson Professor of Computer Science and Engineering at MIT. Arvind's group, in collaboration with Motorola, built the Monsoon dataflow machines and its associated software in the late eighties. In 2000, Arvind started Sandburst which was sold to Broadcom in 2006. In 2003, Arvind co-founded Bluespec Inc., an EDA company to produce a set of tools for high-level synthesis. Arvind's current research focus is to enable rapid development of embedded systems. Arvind is a Fellow of IEEE and ACM, and a member of the National Academy of Engineering and the American Academy of Arts and Sciences.

Programmability versus performance tradeoff: overcoming the hardware challenges from a task-based approach

Rosa M. Badia, Barcelona Supercomputing Center

Programming languages that offer simple, elegant interfaces with strong semantics are valued by the applications developers. Python is one example of such a programming language, adopted both by the High Performance Computing and Data Analytics communitites, with a design philosophy that emphasizes code readibilty and a syntax that allows programmers to express concepts in fewer lines of code, while still offering object-orientation and advanced programming features such as generators and list comprehensions. However, Python is an interpreted language and concurreny is ill-supported. This talk will be based on PyCOMPSs, a task-based programming model that aims to parallelize Python sequential codes and to execute them in distributed computing platforms. The talk will overview the system, and present how different hardware challenges are overcome: multicore architectures, accelerators such as GPUs with specific APIs, memory hierarchy. distributed computing, or distributed file systems.

Rosa M. Badia holds a PhD on Computer Science (1994) from the Technical University of Catalonia (UPC). She is the manager of the Workflows and Distributed Computing research group at the Barcelona Supercomputing Center (BSC). Her current research interest are programming models for complex platforms (from multicore, GPUs to Cloud). The group lead by Dr. Badia has been developing StarSs programming model for more than 10 years, with a high success in adoption by application developers. Currently the group focuses its efforts in PyCOMPSs/COMPSs, an instance of the programming model for distributed computing including Cloud. Dr. Badia has published near 200 papers in international conferences and journals in the topics of her research. Her group is very active in projects funded by the European Commission and in contracts with industry.