CAMEL
THE FIRST INTERNATIONAL WORKSHOP
COMPUTER ARCHITECTURE FOR
MACHINE LEARNING
Portland, OR, USA
June 14, 2015
In conjunction with the 42nd International Symposium on Computer Architecture (ISCA-42)
CALL FOR PAPERS
The first workshop on “Computer Architecture for Machine Learning” (CAMEL) aims at
exploring novel ideas in computer design and HW acceleration for machine learning.
Machine learning is a foundation for many applications like speech recognition, natural
language processing, automatic translation, computer vision, search and recommendation
engines, robotics etc. It is used for complex computing tasks where using explicitly
programmed, rule-based algorithms is either infeasible, or very complex. ML algorithms used
to make predictions or decisions based on large data, rather than following explicitly
programmed instructions.
ML algorithms are very compute and memory intensive. Data is large, and occasionally data
is represented as sparse matrix or graphs. Building the general platform for ML is not trivial,
since there are a huge variety of algorithms: support vector machines, decision trees, deep
learning, Bayesian networks, Hidden Markov Model etc. Machine learning algorithms bring
new challenges to the computer architecture such as:
Can we build a hardware which will significantly accelerate a large set of ML algorithms
while being general enough?
What are the underlying basic blocks?
CAMEL invites research papers and talks on topics related to
HW acceleration for machine learning, deep learning and neural networks
HW acceleration for dense and sparse linear algebra, and large scale graph processing
HW for machine vision, speech recognition and natural language processing
ML workloads and benchmarks
Workshop will include both invited talks and peer-reviewed papers. Peer-reviewed papers
will not be published in proceedings. Therefore, submitting to CAMEL will not preclude
future publication opportunities. Papers and presentation slides will be made available online
with the authors’ approval
SUBMISSION GUIDELINE
Submit a 2-page abstract in PDF format to organizers: boris.ginzburg@intel.com,
ronny.ronen@intel.com, and temam@google.com by March 31, 2015. Please use
the guidelines from the main conference http://cag.engr.uconn.edu/isca2014/submission.html.
For additional information regarding paper submissions, please contact the organizers.
IMPORTANT DATES
Abstract submission: March 31, 2015
Author notification: April 30, 2015
Final camera-ready paper: May 31, 2015
Workshop: June 14, 2015
WORKSHOP ORGANIZERS
Boris Ginzburg, Intel: boris.ginzburg@intel.com
Ronny Ronen, Intel: ronny.ronen@intel.com
Olivier Temam, Google: temam@google.com