IEEE Transactions on Multi-Scale Computing Systems

From the April-June 2016 issue

Wearables, Implants, and Internet of Things: The Technology Needs in the Evolving Landscape

By Sandip Ray, Jongsun Park, and Swarup Bhunia

The proliferation of wearable and implantable computing devices in the recent years, and the emergence of the Internet of Things, have ushered in an era of computing characterized by an explosion in growth and diversification of computing platforms. Unfortunately, the traditional research silos in computing science and engineering appear inadequate for enabling and sustaining the requirements of this new computing era. This paper examines some of these key requirements, explains why the current computing abstractions and research silos are insufficient, and identifies several research challenges. The challenges cross-cut several computing disciplines, including programming languages, computer architecture, physical designs, security, algorithms, and analytics.

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Editorials and Announcements


  • We're pleased to announce that Partha Pratim Pande, professor at Washington State University, has accepted the position of inaugural Editor-in-Chief.


Guest Editorials

Call for Papers

Special Issue on System Support for Intermittent Computing

Submission Deadline: October 1, 2016. View PDF.

Low-power computing devices that harvest radio waves, vibration, light, etc. are key enablers of emerging applications, including infrastructure sensing, medical implants, IoT. A key challenge for energy-harvesting systems is that they operate only intermittently as energy is available. Systems may power off hundreds of times per second and when power fails, software, peripherals, and memory are disrupted. The intermittent execution model presents system designers with fundamentally new system design challenges that we must solve to make energy-harvesting computers viable. Today’s circuits, architectures, software & compilers, programming languages, and even programmers all assume that energy is continuously available. Intermittence invalidates this assumption demanding that we rethink s all layers of the system stack. This issue invites submissions solving problems faced by intermittent systems, with an emphasis on cross-cutting work with contributions in multiple areas.

Special Issue on Cognitive Computing with Emerging Technology

Submission Deadline: October 15, 2016. View PDF.

Over the last several decades, Dennard scaling and Moore’s law have dramatically improved the capabilities of Von Neumann-style computing systems – where “memory” delivers instructions and data to a dedicated “processing unit”. However, as scaling limitations of 2-D ICs are becoming more apparent, there is a growing interest in innovations that will ensure that future computing systems continue to be exponentially-more-capable than the systems of today.

In particular, cognitive computing systems inspired by facets of the human brain such as unsupervised, autonomous and continuous learning, are emerging as a promising alternative. Research in this area often involves cross-disciplinary exploration at multiple scales, combining new materials and devices with novel architectural concepts and integration schemes. Targeting the broad device, circuit, and architecture, as well as nanotechnology research communities, this special issue seeks papers on innovative new concepts for such systems. High-risk high-reward type of ideas, rethinking system design at multiple scales, will be preferred to incremental research. While many of these systems will not rely on non-Von Neumann architectures, the call does not preclude massively parallel systems with conventional hardware components, where novel integration and/or packaging could enable new capabilities such as the high degree of connectivity and collective functions reminiscent of the neocortex and other natural systems.

Special Issue on Emerging Technologies and Architectures for Manycore Computing

Submission Deadline: December 1, 2016. View PDF.

The pursuit of Moore's Law is slowing and the exploration of alternative devices is underway to replace the CMOS transistor and traditional architectures at the heart of data processing. Moreover, the emergence of stringent application constraints, particularly those linked to energy consumption, require new system architectural strategies (e.g. manycore) and real-time operational adaptability approaches. Such complex systems require new and powerful design and programming methods to ensure optimal and reliable operation. This special issue aims at collating new research along all the dimensions of emerging technologies and architectures for computing in manycores.

General Call for Papers

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