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High-order Drug-Drug Interactions (DDI) are common particularly for elderly people. It is highly non-trivial to detect such interactions via in vivo/in vitro experiments. In this paper, we present SVM-based classification methods to predict whether a high-order directional drug-drug interaction (HoDDDI) instance is associated with adverse drug reactions (ADRs) and induced side effects. Specifically,...
This paper presents the first systematic study on co-scheduling independent jobs on integrated CPU-GPU systems with power caps considered. It reveals the performance degradations caused by the co-run contentions at the levels of both memory and power. It then examines the problem of using job co-scheduling to alleviate the degradations in this less understood scenario. It offers several algorithms...
GPU has become an important component of the high performance computing system and its principal duty is parallel computing rather than graphical display. Determining the power and energy consumption is necessary to the scaling of GPU. This paper presents a statistic model to evaluate the power and energy consumption of AMD's integrated GPU (iGPU). By collecting the data of performance counters from...
Karyote segmentation, a significant procedure to computer aided leukemia diagnosis, constitutes a difficult problem due to the morphological complexity, categorical diversity and distributional density of bone marrow cells. Most of the current techniques are based on the internal consistency of the karyote's intensities with little or none considerations on color or texture properties. However, neither...
Alzheimer's disease (AD) is the most common form of dementia that causes progressive impairment of memory and other cognitive functions. Multivariate regression models have been studied in AD for revealing relationships between neuroimaging measures and cognitive scores to understand how structural changes in brain can influence cognitive status. Existing regression methods, however, do not explicitly...
Xen is popular in Server Consolidation, in which performance evaluation is very important to get the best configuration. However, existed works paid much attention to single-thread benchmarks in SMP, and few works are focused on multithreaded benchmarks in chip-multiprocessors (CMP). Therefore, we dedicate to evaluate Xen hyper visor using a new multithreaded benchmark suit named PARSEC developed...
Current loop buffer has been mainly explored as an effective architectural technique for low-power execution in embedded processor. Another avenue, however, for exploiting loop buffer is to obtain its performance benefit. In this paper, we propose an application specific loop buffer organization for vectorized processing kernels, to achieve low-power and high-performance goals. The vectorized loop...
Dynamic binary translation and optimization is one of the most important essential techniques for computing system virtualization. This paper proposes a new dynamic translation framework for co-designed virtual machines. It generates and handles translation requests based on page fault mechanism provided in Linux kernel. In this new framework, the translation of guest codes and the execution of translated...
SIMD extension is one of the most effective ways to exploit data level parallelism in current microprocessor design. But limited by some constraints, such as memory address alignment and in consecutive memory access, data permutation operations are usually needed before SIMD calculations, which impede us to exploit more parallelism. In this paper, an implicit data permutation mechanism is proposed...
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