Skin temperature of mobile devices intimately affects the user experience. Power management schemes built into smartphones can lead to quickly crossing a user's threshold of tolerable skin temperature. Furthermore, there ...

DRAM is the primary technology used for main memory in modern systems. Unfortunately, as DRAM scales down to smaller technology nodes, it faces key challenges in both data integrity and latency, which strongly affects ...

Bit flips on instructions may affect the execution of the processor depending on the Instruction Set Architecture (ISA) and the location of the flipped bits. Intrinsically, ISAs may detect bit upsets if the errors on the ...

Soft errors caused by the cosmic particles or the radiation from the packaging material of the integrated circuits are an increasingly important design problem. With the shrinking feature sizes, the datapath components of ...

Scaling supply voltage to near-threshold is a very effective approach in reducing the energy consumption of computer systems. However, executing below the safe operation margin of supply voltage introduces high number of ...

Soft errors arose as a critical problem for microprocessor designers due to shrinking feature sizes and increasing clock rates. Many attempts appeared to protect the register file which is the main storage component in ...

Embedded image processing systems have many challenges, due to large computational requirements and other physical, power, and environmental constraints. However recent contemporary mobile devices include a graphical ...

DRAM latency continues to be a critical bottleneck for system performance. In this work, we develop a low-cost mechanism, called ChargeCache, that enables faster access to recently-accessed rows in DRAM, with no modifications ...

Software exploitable Hardware Trojan Horses (HWTs) have been currently inserted in commercial CPUs and, very recently, in memories. Such attacks may allow malicious users to run their own software or to gain unauthorized ...

We empirically evaluate an undervolting technique, i.e., underscaling the circuit supply voltage below the nominal level, to improve the power-efficiency of Convolutional Neural Network (CNN) accelerators mapped to Field ...