Accelerator design for complex workloads, e.g., AI, big data, computational genomics, finance, network processing, etc.

Application-specific instruction-set processors and architectures

Approximate computing

Autonomous computing systems

Cloud computing accelerators

Compression

Computer arithmetic

Cryptography and security

Design methods, tools, and compilers

Edge computing, wireless, mobile, IoT, and Cyber-Physical Systems

Embedded systems and domain-specific solutions

Heterogeneous computing, ranging from embedded to HPC systems and data centers

Reconfigurable and custom computing (FPGAs, CGRAs, etc.)

Signal and image processing

Simulation and prototyping (e.g., validation, performance analysis)

System quality attributes (energy efficiency, fault tolerance, security, etc.)

Systems using emerging technologies (e.g., optical computing or communication, 3D devices and interconnects, memristors for storage and logic, in-memory computing)