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Moore’s law drove an information revolution that changed the world. But computers will need more than raw performance in the future. Because computers now act as agents for humans, new issues arise that can only be addressed if engineers coordinate with lawyers and businesspeople.
We present a new non-von Neumann architecture, termed "Superstrider," predicated on no more than current projected improvements in semiconductor components and 3D manufacturing technologies, which should offer orders of magnitude advances in both energy efficiency and performance for many high-utility problem classes. The architecture is described, which is based on computing on row-wide...
We define the Superstrider architecture and report simulation results that show it could be key to achieving HIVE hardware goals. Superstrider's performance comes from a novel sparse-to-dense stream converter, which relies on 3D manufacturing to tightly couple DRAM to an internal network so operations like merging and parallel prefix can be performed quickly and efficiently. With the ability to use...
Researchers are now considering alternatives to the von Neumann computer architecture as a way to improve performance. The current approach of simulating benchmark applications favors continued use of the von Neumann architecture, but architects can help overcome this bias.
The familiar story of Moore's law is actually inaccurate. This article corrects the story, leading to different projections for the future. Moore's law is a fluid idea whose definition changes over time. It thus doesn't have the ability to "end," as is popularly reported, but merely takes different forms as the semiconductor and computer industries evolve.
Rather than continue the expensive and time-consuming quest for transistor replacement, the authors argue that 3D chips coupled with new computer architectures can keep Moore’s law on its traditional scaling path.
To maintain Moore’s law, the semiconductor industry decided a decade ago that a new transistor was imperative. That silver bullet has yet to materialize, but computer design innovations are now maintaining or even exceeding expected scaling progress. This theme issue gives a cross-sectional view of these new scaling drivers.
Industry's inability to reduce logic gates' energy consumption is slowing growth in an important part of the worldwide economy. Some scientists argue that alternative approaches could greatly reduce energy consumption. These approaches entail myriad technical and political issues.
The IEEE Rebooting Computing Initiative, proposed in 2012, has launched a 15-year technology roadmap to address escalating computing-performance pressures: stalled device-physics advances coupled with big data demands, novel machine-learning problems, and complex software paradigms. Potential solutions range from new transistor technology to quantum computing.
Continuing to improve computational energy efficiency will soon require developing and deploying new operational paradigms for computation that circumvent the fundamental thermodynamic limits that apply to conventionally-implemented Boolean logic circuits. In particular, Landauer's principle tells us that irreversible information erasure requires a minimum energy dissipation of kT ln 2 per bit erased,...
At roughly kT energy dissipation per operation, the thermodynamic energy efficiency “limits” of Moore's Law were unimaginably far off in the 1960s. However, current computers operate at only 100–10,000 times this limit, forming an argument that historical rates of efficiency scaling must soon slow. This paper reviews the justification for the ∼kT per operation limit in the context of processors for...
Artificial neural networks could become the technological driver that replaces Moore's law, boosting computers' utlity through a process akin to automatic programming--although physics and computer architecture would also factor in.
Moore's law relies on device size reduction for progress, but an energy tax due to Boolean logic properties could block this progress. There are alternatives.
“Rebooting Computing” (RC) is an effort in the IEEE to rethink future computers. RC started in 2012 by the co-chairs, Elie Track (IEEE Council on Superconductivity) and Tom Conte (Computer Society). RC takes a holistic approach, considering revolutionary as well as evolutionary solutions needed to advance computer technologies. Three summits have been held in 2013 and 2014, discussing different technologies,...
We discuss a new approach to computing that retains the possibility of exponential growth while making substantial use of the existing technology. The exponential improvement path of Moore's Law has been the driver behind the computing approach of Turing, von Neumann, and FORTRAN-like languages. Performance growth is slowing at the system level, even though further exponential growth should be possible...
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