Process variation—deviation in parameters from their nominal specifications—threatens to
slow down and even pause technological scaling, and mitigation of it is the way to continue …

Variation in performance and power across manufactured parts and their operating
conditions is an accepted reality in modern microelectronic manufacturing processes with …

Multimedia applications running on thousands of deep and wide pipelines working
concurrently in GPUs have been an important target for power minimization both at the …

While the memory subsystem is already a major contributor to energy consumption of
embedded systems, the guard-banding required for masking the effects of ever increasing …

Current manycore processors exhibit large on-chip last-level caches that may reach sizes of
32MB-128MB and incur high power/energy consumption. The emerging Multi-Level Cells …

Energy efficiency has now become the primary obstacle in scaling the performance of all
classes of computing systems. Low-voltage computing, specifically, near-threshold voltage …

Inherently error-resilient applications in areas such as signal processing, machine learning
and data analytics provide opportunities for relaxing reliability requirements, and thereby …

Using associative memories to enable computing-with-memory is a promising approach to
improve energy efficiency. Associative memories can be tightly coupled with processing …

The wide recognition that emerging nano-devices will be inherently unreliable motivates the
evaluation of information processing algorithms running on noisy hardware as well as the …

The densification of the network based on a large scale deployment of small cells represents
a promising solution that meets the requirements of the 5th generation wireless systems …