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 …

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 …

Technology scaling along with the ever evolving demand for media-rich software stacks
have motivated the need for many-core platforms. With the increase in compute power and …

Complicated approaches to fault-tolerant voltage-scalable (FTVS) SRAM cache
architectures can suffer from high overheads. We propose static (SPCS) and dynamic …

Power and energy minimization is a critical concern for the battery life, reliability, and yield of
many minimum-sized SRAMs. In this paper, we extend our previously proposed hybrid …

Compressive Sensing (CS) is a novel scheme, in which a signal that is sparse in a known
transform domain can be reconstructed using fewer samples. However, the signal …

IoT devices need reliable hardware at low cost. It is challenging to efficiently cope with both
hard and soft faults in embedded scratchpad memories. To address this problem, we …

With memories continuing to dominate the area, power, cost and performance of a design,
there is a critical need to provision reliable, high-performance memory bandwidth for …

Fault-Tolerant Voltage-Scalable (FTVS) SRAM cache architectures are a promising
approach to improve energy efficiency of memories in the presence of nanoscale process …

Technology scaling and process variation severely degrade the reliability of Chip
Multiprocessors (CMPs), especially their large cache blocks. To improve cache reliability, we …