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Spin-transfer torque random access memory (STT-RAM) has received increasing attention because of its attractive features: good scalability, zero standby power, non-volatility and radiation hardness. The use of STT-RAM technology in the last level on-chip caches has been proposed as it minimizes cache leakage power with technology scaling down. Furthermore,(More)
Using the spin-transfer torque random access memory (STT-RAM) technology as lower level on-chip caches has been proposed to minimize leakage power consumption and enhance cache capacity at the scaled technologies. However, programming STT-RAM is a stochastic process due to the random thermal fluctuations. Conventional worst-case (corner) design with a fixed(More)
Modern GPGPUs employ a large register file (RF) to efficiently process heavily parallel threads in single instruction multiple thread (SIMT) fashion. The up-scaling of RF capacity, however, is greatly constrained by large cell area and high leakage power consumption of SRAM implementation. In this work, we propose a novel GPU RF design based on the emerging(More)
The <i>spin-transfer torque random access memory</i> (STT-RAM) has gained increasing attentions for its high density, fast read access, zero standby power, and good scalability. The recently proposed retention-relax design further improves STT-RAM write access performance and makes it even more promising as an on-chip memory technology. Nevertheless, the(More)
Spin-Transfer Torque Random Access Memory (STT-RAM) has been proved a promising emerging nonvolatile memory technology suitable for many applications such as cache memory of CPU. Simulation results show that the switching time of Magnetic Tunnel Junction (MTJ), which is the core element of the STT-RAM cell, varies when the temperature changes. In this(More)
The spin-transfer torque random access memory (STT-RAM) has been widely investigated as a promising candidate to replace the static random access memory (SRAM) as on-chip cache memories. However, the existing STT-RAM cell designs can be used for only single-port accesses, which limits the memory access bandwidth and constraints the system performance. In(More)
The recent successful integration of magnetic racetrack memory forecasts a new computing era with unprecedentedly high-density on-chip storage. However, racetrack memory accesses require frequent magnetic domain shifting, introducing overheads in access latency and energy consumption. In this paper, we evaluate and compare several different physical layout(More)
As the technology scales down, the increased power density brings in significant system reliability issues. Therefore, the temperature monitoring and the induced power management become more and more critical. The thermal fluctuation effects of the recently discovered spintronic memristor make it a promising candidate as a temperature sensing device. In(More)