- HP and Memory-Abundant Computing - Hewlett Packard researchers presented novel approaches in computer architecture at IEEE Rebooting Computing Summit
- RC and Internet of Things - RC Committee Member David Mountain talks about cybersecurity, IoT, and RC.
- DRAM Defects - Local defects in memory chips may be responsible for a majority of errors in many computer systems, according to a recent study.
- How Supercomputing Can Survive Beyond Moore's Law - An Interview with Erik DeBenedictis of RC and Sandia.
- Nanotechnology Grand Challenge - Nanocomputers that can learn - RC is collaborating on a White Paper for a government-sponsored research program into small, low-power "Sensible Machines".
- Graphene Key to High-Density, Energy-Efficient Memory Chips - Research at Stanford University focuses on using ultra-thin graphene to contact nanoscale elements with switchable resistance.
- IEEE-RC Supports National Strategic Computing Initiative - New US inter-agency initiative in future High-Performance Computing and Emerging Electronic Technologies.
Decoupled Control and Data Processing for Approximate Near-Threshold-Voltage Computing
As device voltage is reduced in order to reduce system power, circuit reliability may be degraded. This article by Akturk, Kim, and Karpuzko in IEEE Micro Magazine proposes to design a processor so that error-tolerant data processing can be operated using low-power cores, while high-reliability cores are reserved for less error-tolerant control algorithms. This provides an example of Heterogeneous Computing, which is also the topic of other articles in this special issue.
Brain-Inspired Computing at Qualcomm
Qualcomm has introduced a cognitive computing chip, Zeroth, which enables deep learning in a low-power platform suitable for cell phones. Matt Grob, the CTO of Qualcomm, describes some of the capabilities of this new Neural Processing Unit (NPU) as applied to robot control, image recognition, and Big Data processing.
For further information on Cognitive Computing on the Zeroth Platform, see here
- Thinking Outside the Chip
- Berkeley Symposium on Energy Efficient Electronic Systems
- Low-Power Image Recognition Challenge
- RC-ITRS Report on the Foundation of the New Computer Industry Beyond 2020
- 3 Scenarios for Exascale Computing
- Electronics Butterfly Effect
- US Government Report on IT Research Funding
- New ITRS 2.0 Website
- New National HPC Strategy
- Future of Computer Architectures
- The Future of Exascale Computing
- Computing Needs a Reboot
- Report on Neuro-Inspired Computational Elements Workshop
- IEEE Computer Society 2014 Report on Future Computing in 2022