박현선 교수

Hybrid main memory consisting of DRAM and non-volatile memory is attractive since the non-volatile memory can give the advantage of low standby power while DRAM provides high performance and better active power. In this work, we address the power management of such a hybrid main memory consisting of DRAM and phase-change RAM (PRAM). In order to reduce DRAM refresh energy which occupies a significant portion of total memory energy, we present a runtime-adaptive method of DRAM decay. In addition,

Lupus erythematosus panniculitis (LEP) is an inflammatory disorder of the subcutaneous fat in patients with lupus erythematosus (LE). It is a rare variant of the disease, which occurs approximately in 1%-3% of patients with cutaneous LE. The purpose of this study was to investigate the clinical, histopathologic, immunophenotypical, and molecular profiles of LEP. We performed a retrospective study of 19 biopsy specimens from 17 patients with LEP. We reviewed their clinical data and reexamined the

AGA patients showed statistically significant abnormal lipid profiles, and this might partly explain the association between AGA and cardiovascular diseases.

Convolution operations dominate the total execution time of deep convolutional neural networks (CNNs). In this paper, we aim at enhancing the performance of the state-of-the-art convolution algorithm (called Winograd convolution) on the GPU. Our work is based on two observations: (1) CNNs often have abundant zero weights and (2) the performance benefit of Winograd convolution is limited mainly due to extra additions incurred during data transformation. In order to exploit abundant zero weights,