The energy consumed by data centers is starting to make up a significant fraction of the world’s energy consumption and carbon emissions. A large fraction of the consumed energ...
Nosayba El-Sayed, Ioan A. Stefanovici, George Amvr...
DRAM is facing severe scalability challenges in sub-45nm technology nodes due to precise charge placement and sensing hurdles in deep-submicron geometries. Resistive memories, suc...
Engin Ipek, Jeremy Condit, Edmund B. Nightingale, ...
Embedded DRAM (eDRAM) power-energy estimation is presented for system-on-a-chip (SOC) applications. The main feature is the signal swing based analytic (SSBA) model, which improve...
Dynamic Random Access Memory (DRAM) is used as the bulk of the main memory in most computing systems and its energy and power consumption has become a first-class design considera...
Portable systems demand energy efficiency in order to maximize battery life. IRAM architectures, which combine DRAM and a processor on the same chip in a DRAM process, are more en...
Richard Fromm, Stylianos Perissakis, Neal Cardwell...