Graphics Processing Units (GPUs) employ large register files to accommodate all active
threads and accelerate context switching. Unfortunately, register files are a scalability …

Graphics Processing Units (GPUs) are widely-used accelerators for data-parallel
applications. In many GPU applications, GPU memory bandwidth bottlenecks performance …

The on-chip memory design is critical to the GPGPU performance because it serves
between the massive threads and the huge external memory as a low-latency and high …

In Wireless Sensor Network (WSN), Clustering sensor nodes is an efficient topology control
method to reduce energy consumption of the sensor nodes. Many link quality-based …

The disparity between memory and CPU have been ameliorated by the introduction of
Network-on-Chip-based Chip-Multiprocessors (NoC-based CMPS). However, power …

Embedded DRAM (eDRAM) is an alternative technology that can replace the area and
power consumed by SRAM cache memories. eDRAM consumes half the area and an order …

Graphics Processing Units (GPUs) employ large register files to accommodate all active
threads and accelerate context switching. Unfortunately, register files are a scalability …

Modern GPUs require an enormous register file (RF) to store the context of thousands of
active threads. It consumes considerable energy and contains multiple large banks to …

Gain-cell embedded DRAM (GC-eDRAM) is a dense, low power option for embedded
memory implementation, supporting low supply voltages; however, it suffers from limited …

To protect wireless sensor networks from selective forwarding attacks, a lightweight WSN
selective forwarding attack detection technique (LSFAD) is presented. The proposed …