RAW 2019
26th Reconfigurable Architectures Workshop (RAW 2019)
The 26th Reconfigurable Architectures Workshop (RAW 2019) will be held in Rio the Janeiro, Brazil in May 2019. RAW 2019 is associated with the 33rd Annual IEEE International Parallel & Distributed Processing Symposium (IEEE IPDPS 2019) and is sponsored by the IEEE Computer Society and the Technical Committee on Parallel Processing. The workshop is one of the major meetings for researchers to present ideas, results, and on-going research on both theoretical and practical advances 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.
Topics of interest
Architectures & 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)
Hot Topics in Reconfigurable Computing
- Configurable Cloud
- Heterogeneous Computing in Data Centers
- Accelerating Data Center Workloads
- FPGA-based Deep Learning
- Accelerating Genomic Computations
- Acceleration of Data Analytics
- Reconfigurable Computing in the IoT era
- Organic Computing, Biology-Inspired Solutions
- Applications in Finance
Runtime & System Management
- Run-Time Reconfiguration Models and Architectures
- Autonomic computing systems
- Operating Systems and High-Level Synthesis
- High-Level Design Methods (Hardware/Software co-design, Compilers)
- System Support (Soft processor programming)
- Runtime Support
- Reconfiguration Techniques (reusable artifacts)
- Simulations and Prototyping (performance analysis, verification tools)
Organization
Workshop Chairs
- Marco D. Santambrogio, Politecnico di Milano, Italy
- Diana Goehringer, TU Dresden, Germany
Program Chairs
- Fernanda Lima Kastensmidt, Universidade Federal Do Rio Grande Do Sul, Brasil
- Oliver Diessel, University of New South Wales, Australia
Steering Committee
- Juergen Becker, Karlsruhe Institute of Technology, Germany
- Viktor K. Prasanna, University of Southern California, USA
- Ramachandran Vaidyanathan, Louisiana State University, USA
Steering Chair:
- Viktor K. Prasanna, University of Southern California, USA
Publicity Co-Chairs
- Brian Veale, IBM, USA
- Ivan Beretta, University of Westminster, UK
Webmaster
- Marco Rabozzi, Politecnico di Milano, Italy