IEEE Transactions on Computers (TC) is a monthly publication with a wide distribution to researchers, developers, technical managers, and educators in the computer field. It publishes papers on research in areas of current interest to the readers. These areas include, but are not limited to, the following: a) computer organizations and architectures; b) operating systems, software systems, and communication protocols; c) real-time systems and embedded systems; d) digital devices, computer components, and interconnection networks; e) specification, design, prototyping, and testing methods and tools; f) performance, fault tolerance, reliability, security, and testability; g) case studies and experimental and theoretical evaluations; and h) new and important applications and trends.

Additional Information

IEEE Transactions on Computers publishes papers on research in areas of current interest to the readers, including but not limited to the following: a) computer organizations and architectures (multicores, manycores, accelerators, application-specific, domain-specific and reconfigurable processors, processing-in-memory, near-data processing, and  datacenters); b) operating systems, software systems, and cloud computing  (runtime systems, parallel and distributed systems, virtualization, and software-hardware interactions); c) real-time, mobile and embedded systems (Internet of Things, edge computing, wearables, actuators, and sensor networks); d) digital devices, computer components, and interconnection networks (volatile and non-volatile emerging memory technologies, solid-state devices for storage, emerging technologies for interconnects); e) specification, design, prototyping, and testing methods and tools; f) performance, fault tolerance, reliability, security, and testability (availability, scalability, energy/power management); g) case studies and experimental and theoretical evaluations (workload characterization, tracing, analyzing, and troubleshooting) ; and h) new and important applications and trends (computing issues for emerging technologies and applications, machine learning, approximate computing, quantum computing, neuromorphic computing, and analog computing).

TC is a scholarly, archival journal published monthly. In addition to full papers, brief contributions are also published.

Special Issue on Carbon Efficient Computer Architectures and Systems
截稿日期: 2024-12-01

IEEE Transactions on Computers seeks original manuscripts for a special issue/section on Carbon Efficient Computer Architectures and Systems scheduled to appear in the September 2025 issue.

Green and sustainable computing has long been relatively synonymous with energy-efficient computing. Over the last decade there is evidence that energy and resulting carbon and other environmentally impactful emissions from Information and Communications Technology (ICT) is growing dramatically due to wide growth in cloud computing, IoT, and edge installations, globally. Additionally, during the same time period, awareness of concerns from embodied energy and carbon have emerged with the recognition that these impacts may even outstrip operational energy and carbon. Furthermore, electronic waste from disposal of electronics, exacerbated by short lifetimes of particularly mobile electronics continues to be a growing concern. Shortages of rare materials further impacts the future of electronics.

This special issue seeks impactful work on addressing the carbon problem in ICT and computing broadly. Papers that propose methods to address carbon or other environmentally impactful metrics throughout the lifecycle, particularly with consideration of the manufacturing and/or disposal phase are especially encouraged.

Papers on a range of topics are invited, including, but not limited to:

 - New models and metrics for carbon-efficient or sustainable computing architectures and systems including both embodied and operational greenhouse gas emissions (GHGs) including CO2

 - Architectures and systems to avoid obsolescence, promote reusability, and enable longer lifetimes for saving CO2, GHGs

 - Advances in edge and cloud technologies broadly to address provisioning and disaggregated computing to minimize CO2, GHGs

 - Carbon efficient accelerators for computationally complex algorithms such as machine learning, blockchain, homomorphic encryption, among others

 - Advances in architectures and systems leveraging emerging technologies targeting reduction of CO2, GHGs

 - Techniques to advance computing within the circular economy that considers manufacturing, operation, reuse, recycling, and disposal phases of systems

 - Architectures and systems that collaboratively enable sustainability in an application domain and through their ICT equipment