Digital twins provide living digital models of physical systems that enable data-driven analysis and application of artificial intelligence to better manage selective aspects of the data center and drive efficiency for sustainability.

As computer architects continually push the limits of microarchitectural performance optimizations, securing hardware against speculative execution attacks feels like a Sisyphean task. This article explores the critical role computer architects can play ...

Heterogeneous computing is a way to deliver solutions suitable for real-time and computationally intensive workloads on intelligent systems, including the Internet of Things and edge devices. This article systematically overviews the most critical ...

After nearly 50 years, the fabrication lines for the Z80 microprocessor have ceased. As an early processor in personal computing, the Z80 enabled budding computer scientists and engineers to tinker at home and discover the delight of computing.

We address the increasing complexity of scientific workflows in the context of high-performance computing (HPC) and their associated need for robust, adaptable, and flexible computational support systems. We explore five key trends as well as future ...

Heterogeneous integration, a process that involves the amalgamation of chiplets, enhances system performance and spurs innovation in various applications, including, but not limited to, artificial intelligence, sensors, and cloud computing.

Much is written about the energy consumption requirements for data centers. However less is written about the water required to cool data centers. We open a discussion about this topic here.

Virtualization, which allows the sharing and partitioning of underlying hardware, enables application scalability and consolidation. Its broad use brings relevant opportunities along with challenges that are crucial for the success of modern computer ...

Traditional high-performance computing and modern artificial intelligence computing are converging with workflows as a common paradigm. We predict nine principles of heterogeneity and serverless computing for this convergence, from high-level programming ...

Industry is a leading application domain for the Internet of Things. The wide availability of industrial control systems (operational technology) combined with the Internet revolutionizes infrastructures and services, especially critical ones, providing ...

Continuing advances in computing will require chiplets connected by the Universal Chiplet Interconnect Express (UCIe) to create cost-effective high-performance customized applications and new memory hierarchies. The optical UCIe can expand this ...

We propose a generic framework for mapping the training and federation tasks of three artificial intelligence for Internet of Things as a service (AIoTaS) systems to multiple cloud–edge–fog paradigms. A total of 31 possible mappings are identified as ...

We propose a consensus mechanism based on the consistent hash algorithm for multiple master nodes. The consensus mechanism uses a consistent hash algorithm to select consensus group nodes and common nodes and further selects multiple master nodes on this ...

The next-generation Industrial Internet of Things (IIoT) requires smart devices featuring rich connectivity, local intelligence, and autonomous behavior. We review representative solutions, highlighting aspects that are the most relevant for integration ...

This installment of Computer’s series highlighting the work published in IEEE Computer Society journals comes from IEEE Transactions on Visualization and Computer Graphics.

We discuss the differences and commonalities between network technologies used in supercomputers and data centers and outline a path to convergence at multiple layers. We predict that emerging smart networking solutions will accelerate that convergence.

This installment of Computer’s series highlighting the work published in IEEE Computer Society journals comes from IEEE Transactions on Parallel and Distributed Systems.

Driven by artificial intelligence (AI), accelerators are taking away the “central” aspect of CPUs to become dominant processors of the vast amounts of generated data today. This transition happened in your phones and embedded devices a decade ago and, ...

Insecure cloud-native applications (CNAs) will continue to experience security compromises including data breaches due to their dynamic, complex, and varied threat landscape. We review current application security techniques, examine their benefits and ...

Current programming models for developing Internet of Things (IoT) applications are logically centralized and ill-suited for most IoT applications. We contribute Protocols over Things, a decentralized programming model that represents an IoT application ...