RAW 2019 - 26th Reconfigurable Architectures Workshop

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)