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The world’s appetite for abundant-data computing, where a massive amount of structured and unstructured data is analyzed, has increased dramatically. The computational demands of these applications, such as deep learning, far exceed the capabilities of today’s systems, especially for energy-constrained embedded systems (e.g., mobile systems with limited battery capacity). These demands are unlikely...
Next-generation information technologies will process unprecedented amounts of loosely structured data that overwhelm existing computing systems. N3XT improves the energy efficiency of abundant-data applications 1,000-fold by using new logic and memory technologies, 3D integration with fine-grained connectivity, and new architectures for computation immersed in memory.
The end of Dennard scaling has made all systemsenergy-constrained. For data-intensive applications with limitedtemporal locality, the major energy bottleneck is data movementbetween processor chips and main memory modules. For such workloads, the best way to optimize energy is to place processing near the datain main memory. Advances in 3D integrationprovide an opportunity to implement near-data processing...
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