Algorithms and Models of Computing — Approximate and inexact computing, quantum and probabilistic computing

Biological Computing Models — Brain computing, neural computing, computational neuroscience, biologically-inspired architectures Limits on Technology Scaling and Moore's Law — Defect- and variability-tolerant designs, graphene and other novel materials, nanoscale design, optoelectronics, dark silicon

Uses of Technology Scaling — 3D stacked technology, challenges of many-core designs, accelerators, PCM's, novel memory architectures, mobile devices

Embedded and Cyber-Physical Systems — Design space exploration, modeling and development frameworks for interconnected systems and CPS and CPSoS, ultra-low power designs, energy scavenging, reactive and real-time systems, reconfigurable and self-aware systems, sensor networks and internet of things, and architectural innovation for wearable computing

Big Data Analytics — High performance data analytics, data search and representation, architecture, and system design

Machine and Deep Learning — innovative algorithms and architectures, neuromorphic approaches

Large-Scale System Design — Homogeneous and heterogeneous architectures, runtimes, networking technologies and protocols, power- and energy-management for cloud and grid systems, data centers, exa-scale computing

Compiler Technologies — Advanced/novel analyses, hardware/software integrated solutions, domain-specific languages, high-level synthesis

Security — Methods, system support, and hardware for protecting against malicious code; real-time implementations of security algorithms and protocols; quantum and post-quantum cryptography; advanced persistent threats; cyber and physical attacks and countermeasures

Computers and Society — Education, health, cost/energy-efficient design, smart cities, and emerging markets

Interdisciplinary Applications — Applications bridging multiple disciplines in interesting ways