Computer Science: Hardware and Computation

High-quality image of a computer motherboard showcasing circuit boards and chips.

The Journal of Computer Science: Hardware and Computation serves as a platform for high-quality research and innovation in the domains of computer hardware systems and computational theory. The journal welcomes original contributions that advance the understanding, design, analysis, and implementation of hardware components and computational models.

Research Areas

The journal targets researchers, engineers, and academicians who are shaping the future of computational hardware and theoretical models. Both theoretical studies and practical implementations with strong evaluation are encouraged.

Computer Architecture and Design

Embedded and Real-Time Systems

Parallel and Distributed Computation

High Performance Computing

Computational Modeling and Simulation

VLSI and Integrated Circuit Design

Reconfigurable and FPGA Systems

Hardware Security and Trust

Hardware Acceleration Technologies

Low Power and Energy Efficient Computing

Heterogeneous and Multi-Core Systems

Cyber-Physical Systems

Neuromorphic and Bio-Inspired Hardware

Quantum Hardware and Computational Devices

Processor and Microarchitecture Design

Circuit and VLSI Systems

Reconfigurable and FPGA Systems

Embedded Systems and IoT Hardware

Real-Time and Cyber-Physical Systems

Parallel Hardware and Multi-Core Architectures

Distributed Hardware Platforms

High Performance and Scalable Computing

Hardware Software Co-Design

Low Power and Energy Aware Hardware

Hardware Security and Trust

Fault Tolerance and Reliable Computing

Memory and Storage Architecture

Hardware Benchmarking and Evaluation

Neuromorphic and Bio-Inspired Hardware

Quantum Computing Hardware

Heterogeneous and Accelerator-Based Systems

Hardware for Machine Learning and AI

ASIC and SoC Design

Computational Modeling and Simulation

Hardware Testing and Verification

High Throughput Computing Systems

Sensor and Actuator Interface Hardware

Network-On-Chip (NoC) Architecture

Embedded Graphics and Vision Hardware

3D Integrated Circuits

The scope includes, but is not limited to

Advanced processor pipelines

FPGA-based computing systems

System-on-Chip (SoC) and ASIC design methodologies

Hardware/software co-design

Memory and cache optimization

Hardware for AI acceleration

Low power hardware solutions

Real-time embedded platforms

Parallel computing frameworks

Scalable computation environments

Hardware reliability and fault tolerance

Hardware benchmarking and evaluation

Heterogeneous computing architectures

High throughput computing strategies

Computational hardware simulation

Secure hardware design

Neuromorphic circuits and architectures

Energy-aware system design

Quantum device implementation

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