Recent trends of CMOS scaling and increasing number of on-chip cores have led to a large
increase in the size of on-chip caches. Since SRAM has low density and consumes large …

Emerging Non-Volatile Memories (NVM) such as Spin-Torque Transfer RAM (STT-RAM)
and Resistive RAM (RRAM) have been explored as potential alternatives for traditional …

The separation of computing units and memory in the computer architecture mandates
energy-intensive data transfers creating the von Neumann bottleneck. This bottleneck is …

Much attention has been given to the efficient execution of the scale-out applications that
dominate in datacenter computing. However, the effects of the hardware support in the …

Abstract Non-Volatile Main Memories (NVMMs) have recently emerged as a promising
technology for future memory systems. Generally, NVMMs have many desirable properties …

In recent years, the energy consumption of IoT edge nodes has significantly increased due
to the communication process. This necessitates the need to offload more computation to the …

Hyperdimensional Computing (HDC) is rapidly emerging as an attractive alternative to
traditional deep learning algorithms. Despite the profound success of Deep Neural Networks …

Reuse of large-grain software components offers the potential for significant savings in
application development cost and time. Successful comuonent reuse and substitutability …

Spin-Transfer Torque RAM (STT-RAM) is widely considered a promising alternative to
SRAM in the memory hierarchy due to STT-RAM's non-volatility, low leakage power, high …

The breakdown of Dennard scaling prevents us from powering all transistors
simultaneously, leaving a large fraction of dark silicon. This crisis has led to innovative work …