Hardware and Architecture – Computer Science (HAC)
Section Information
Hardware and Architecture in Computer Science focuses on the design, analysis, and implementation of computing hardware, architectures, and system-level structures that enable efficient, reliable, and high-performance computation. It examines processor architectures, memory systems, parallelism, energy-efficient computing, and hardware–software co-design.
Modern research in computer architecture includes multicore and many-core processors, accelerators, reconfigurable hardware, heterogeneous systems, and emerging technologies such as quantum and neuromorphic computing. These developments support advances in artificial intelligence, high-performance computing, embedded platforms, and large-scale data processing.
This section publishes research articles, reviews, and technical studies on processor design, memory and storage architecture, interconnection networks, low-power systems, hardware security, reconfigurable computing, and novel architectures shaping the future of computing hardware.
Scope
- Processor and System Architecture
- Instruction set architectures and microarchitecture design
- Pipeline techniques, superscalar execution, and speculation
- Multicore, many-core, and heterogeneous computing architectures
- High-performance computing architectures and scalability
- Memory and Storage Systems
- Memory hierarchy design and cache optimization
- DRAM, NVRAM, and emerging storage technologies
- Storage architectures for data-intensive workloads
- Memory coherence, consistency, and performance modeling
- Parallelism, Concurrency, and Interconnects
- Parallel processing models and synchronization techniques
- Interconnection networks, routing, and communication fabrics
- Distributed and shared-memory parallel architectures
- Hardware mechanisms for concurrency and coordination
- Reconfigurable and Specialized Hardware
- FPGA architectures, design flows, and hardware synthesis
- GPUs, TPUs, and domain-specific accelerators
- Custom architectures for machine learning and scientific computing
- Hardware–software co-design and optimization
- Embedded and Real-Time Systems
- Microcontroller and SoC architectures
- Real-time scheduling, timing analysis, and resource management
- Edge computing hardware and low-power design
- Sensor integration, firmware, and embedded system reliability
- Hardware Security and Reliability
- Secure processor architecture and trusted hardware mechanisms
- Fault tolerance, error detection, and resilient systems
- Side-channel attacks, countermeasures, and secure boot
- Reliability modeling and lifetime prediction of hardware components
- Emerging Computing Paradigms
- Quantum architectures and qubit control systems
- Neuromorphic and brain-inspired hardware
- Photonic, spintronic, and nano-scale device architectures
- Energy-efficient and environmentally sustainable computing
Editorial Board
Topical Advisory Panel
Papers Published
Click here to see a list of 2 papers published in this section.