Learn More
Neuromorphic systems recently gained increasing attention for their high computation efficiency. Many designs have been proposed and realized with traditional CMOS technology or emerging devices. In this work, we proposed a spiking neuromorphic design built on resistive crossbar structures and implemented with IBM 130nm technology. Our design adopts a rate(More)
As process technology continues scaling down, the memory barrier becomes more severe. Thus, spiking neuromorphic computing that can significantly enhance computing and communication efficiencies has been widely studied. Both conventional CMOS technology and emerging devices have been used in hardware implementation of spiking neuromorphic computing.(More)
Matrix-vector multiplication, as a key computing operation, has been largely adopted in applications and hence greatly affects the execution efficiency. A common technique to enhance the performance of matrix-vector multiplication is increasing execution parallelism, which results in higher design cost. In recent years, new devices and structures have been(More)
In recent years, Spin-Transfer Torque Random Access Memory (STT-RAM) has attracted significant attentions from both industry and academia due to its attractive attributes such as small cell area and non-volatility. However, long switching time and large programming energy of Magnetic Tunneling Junction (MTJ) continue being major challenges in STT-RAM(More)
As manufacture process scales down rapidly, the design of <i>ternary content-addressable memory</i> (TCAM) requiring high storage density, fast access speed and low power consumption becomes very challenging. In recent years, many novel TCAM designs have been inspired by the research on emerging nonvolatile memory technologies, such as <i>magnetic tunneling(More)