Rebooting Computing: New Strategies for Technology Scaling

  title={Rebooting Computing: New Strategies for Technology Scaling},
  author={Thomas M. Conte and Elie K. Track and Erik P. Debenedictis},
Year-over-year exponential computer performance scaling has ended. Complicating this is the coming disruption of the "technology escalator" underlying the industry: Moore's law. To fundamentally rethink and restart the performance-scaling trend requires bold new ways to compute and a commitment from all stakeholders. 
New Frontiers in Energy-Efficient Computing [Guest editors' introduction]
Karlheinz Meier from Ruprecht-Karls University in Heidelberg speaks about neuromorphic computing's concepts, achievements, and challenges at the 2016 International Supercomputing Conference.
Proposal of disruptive computing (A computing-domain-oriented approach)
The challenges of research and development on disruptive computing which enhance the conventional computing system with high performance and low power consumption are shown.
Von-Neumann and Beyond: Memristor Architectures
This work proposes using the stochastic memristor as an inherent source of variability in the neuron that allows it to produce spikes stochastically and proposes and verifying a statistical approach to modelling the Stochastic Memristor behaviour, allowing for innovative computing designs within the approximate computing and beyond Von-Neumann domains.
Simulated execution of hybrid quantum computing systems
This work uses discrete-event simulating to track the dynamical state of hierarchical abstract machine models while executing test programs, and collects statistics on time and energy consumption to forecast the resources required by quantum processors for future scientific computation.
Recent progress in analog memory-based accelerators for deep learning
The extensive but rapidly developing literature on what would be needed from an analog memory device to enable such a DNN accelerator is surveyed, and progress with various analog memory candidates including non-volatile memory such as resistive RAM, phase change memory, Li-ion- based devices, capacitor-based and other CMOS devices, as well as photonics-based devices and systems are summarized.
Implementation of Quantum Gates based Logic Circuits using IBM Qiskit
  • E. H. ShaikR. Nakkeeran
  • Computer Science
    2020 5th International Conference on Computing, Communication and Security (ICCCS)
  • 2020
This article presents simple methods to implement logic circuits using quantum gates using Qiskit in Python and proposes a way of instantiating the basic logic circuits to design high-end logic expressions.
Consumer Applications of Quantum Computing: A Promising Approach for Secure Computation, Trusted Data Storage, and Efficient Applications
  • T. Humble
  • Computer Science
    IEEE Consumer Electronics Magazine
  • 2018
The growing awareness that quantum computing can impact a broad variety of consumer concerns and applications is discussed, including secure computation, trusted data storage, and efficient applications.
Quantum Accelerators for High-Performance Computing Systems
A novel quantum-accelerator framework that uses specialized kernels to offload select workloads while integrating with existing computing infrastructure and the development of architectures for hybrid high-performance computing systems and the realization of software stacks for controlling quantum devices is discussed.