[hpc-announce] CFP: The 1st Int'l Workshop on Heterogeneous Computation in Specific Domain Accelerations (HC-SDA 2019)

[Chen Liu]

The First International Workshop on Heterogeneous Computation in Specific
Domain Accelerations (HC-SDA 2019)
February 16, 2019
Washington D.C., USA
https://hcsda-workshop.github.io/
In conjunction with the 25th IEEE International Symposium on
High-Performance Computer Architecture (HPCA-2019)

Data is being generated at an unprecedented rate in the IoT era across
countless applications. How to process the Big Data in a timely manner is a
major obstacle we are facing nowadays. The growing diversity and
heterogeneity of the hardware platforms just adds another layer of
complexity on top of a challenging problem. Even though heterogeneous
platforms such as GPUs, Xeon Phis, and FPGAs, has been widely adopted, the
emerging computer architectures with coprocessors and hybrid memories are
encountering big challenges. Therefore, how to effectively and efficiently
utilize different hardware accelerators together to serve one single
application remains a challenge for heterogeneous computing researchers.
HC-SDA 2019 seeks original unpublished research on algorithms, models,
applications and tools for heterogeneous computing to accelerate the
performance, to improve energy efficiency, and to enhance the reliability
of heterogeneous platforms from edge to cloud and in between. We are
particularly interested in heterogeneous computing research employing two
or more different types of hardware accelerators. The topics to be covered
include but are not limited to:
* Microarchitecture design on heterogeneous processor/system combined with
emerging memory/storage system (PCM, SSD, etc.)
* Heterogeneous parallel programming paradigms and models.
* Energy efficient parallel accelerating models for heterogeneous
platforms.
* Parallel algorithms for heterogeneous and/or hierarchical systems,
including many-cores and hardware accelerators (FPGAs, GPUs, Xeon Phis,
etc.)
* Heterogeneous computation support for autonomous vehicle driving or other
applications using artificial intelligent algorithms (e.g., images
processing, features recognition).
* Heterogeneous computing in large-scale data centers.
* Software engineering implementation on heterogeneous computing platforms.
* Multiple objectives optimization on heterogeneous platforms.
* Task scheduling algorithms with heterogeneous cloud and datacenter
platforms.
* Experience with porting parallel software from supercomputers to
heterogeneous platforms
* Fault tolerance of parallel computations on heterogeneous platforms.

General Chairs:
Songwen Pei, University of Shanghai for Science and Technology, China
Chen Liu, Clarkson University, USA
Neal N. Xiong, Northeastern State University, USA

Submission Guidelines:
Interested authors are encouraged to submit unpublished works (up to 8
pages) following the IEEE conference paper format via the easy-chair
system.

Submission Link: https://easychair.org/conferences/?conf=hcsda2019

 Important Dates:
Regular Paper Submission Deadline: Jan. 4th, 2019
Acceptance Notification: Jan 18th, 2019
Camera Ready Submission: February 1st, 2019
Workshop: Feb 16th, 2019 (1:00pm – 5:30 pm)

There are no proceedings to this workshop. However, the selected
non-published top-quality papers accepted into the workshop will be invited
to submit to the Special Issue on Heterogeneous Computation in Specific
Domain Accelerations (HCSDA), at Future Generation Computing Systems
(FGCS), Elsevier.

https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/heterogeneous-computation-in-specific-domain-accelerations

If you have any questions, please contact general chairs without
hesitation.
Email: swpei at usst.edu.cn and cliu at clarkson.edu
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