[IPDPS] [Deadline Jan 25] CFP: 27th Reconfigurable Arch. Workshop - New Orleans, LA - May 18-19, 2020
Brian Veale
veale at acm.org
Mon Jan 6 16:10:51 UTC 2020
C A L L F O R P A P E R S
26TH RECONFIGURABLE ARCHITECTURES WORKSHOP
MAY 18-19, 2020 - New Orleans, LOUISIANA, USA
Submissions Quick Link: https://easychair.org/conferences/?conf=raw20
The 27th Reconfigurable Architectures Workshop (RAW 2020) will be held
in New Orleans, USA in May 2020. RAW 2020 is associated with the 34th
Annual IEEE International Parallel & Distributed Processing Symposium
(IEEE IPDPS 2020) and is sponsored by the IEEE Computer Society and the
Technical Committee on Parallel Processing. The workshop is one of the
oldest platforms and a vibrant forum for researchers to present new
ideas, fresh results, and on-going research into both theoretical and
practical advances including novel innovations in Reconfigurable
Computing.
A reconfigurable computing environment is characterized by the ability of
underlying hardware architectures or devices to rapidly alter (often on
the fly) the functionalities of their components and the interconnection
between them to suit the problem at hand. The area has a rich theoretical
tradition and wide practical applicability. There are several commercially
available reconfigurable platforms (FPGAs and coarse-grained devices)
and many modern applications (including embedded systems and HPC) use
reconfigurable subsystems. An appropriate mix of theoretical foundations
and practical considerations, including algorithms architectures,
applications, technologies and tools, is essential to fully exploit the
possibilities offered by reconfigurable computing. The Reconfigurable
Architectures Workshop aims to provide a forum for creative and productive
interaction for researchers and practitioners in the area. This year the
workshop will also provide a platform for work in progress
TOPICS OF INTEREST
Hot Topics
* Configurable Cloud
* Heterogeneous Computing in Data Centers
* Accelerating Data Center Workloads
* FPGA-based Deep Learning
* Accelerating Genomic Computations
* Accelerating Data Analytics
* Reconfigurable Computing in the IoT era
* Organic Computing, Biologically-Inspired Solutions
* Applications in Finance
Architecture & CAD
* Algorithmic Techniques and Mapping
* Emerging Technologies (optical models, 3D Interconnects, devices)
* Reconfigurable Accelerators
* Embedded Systems and Domain-Specific solutions (Digital Media, Gaming,
Automotive applications)
* FPGA-based MPSoC and Multicore
* Distributed Systems & Networks
* Wireless and Mobile Systems
* Critical issues (Security, Energy efficiency, Fault-Tolerance)
Runtime/System Management
* Runtime Reconfiguration Models
* Autonomic computing systems
* Operating Systems and High-Level Synthesis
* High-Level Design Methods (HW/SW co-design, Compilers)
* System Support (Soft processor programming)
* Runtime Support
* Reconfiguration Techniques (reusable artifacts)
* Simulation and Prototyping (performance analysis, verification tools)
PAPER SUBMISSION
Submissions reporting your latest results, exciting developments
and, in special cases, summaries of relevant work are sought.
Manuscripts for full papers should not exceed 8 single-spaced,
double-column pages using 10-point font on 8.5 x 11 inch pages (IEEE
conference style) including references, figures and tables. Manuscripts
for short papers should not exceed 4 single-space, double-column pages.
Papers are to be submitted through EasyChair. Submitted papers should
not have appeared in or be under consideration for another workshop,
conference or journal.
Submission site: https://easychair.org/conferences/?conf=raw20
Submission deadline January 25, 2020
Decision notification February 15, 2020
Camera-ready papers due March 2, 2020
ORGANIZATION
Workshop Chairs
Marco D. Santambrogio, Politecnico di Milano
Yu Wang, Tsinghua University
Program Chairs
Oliver Diessel, University of New South Wales, Australia
Christophe Bobda, University of Florida, USA
For current and further information, refer to the RAW’20 website:
http://raw.necst.it
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