Search Results - "Xipeng Shen"

TADOC: Text analytics directly on compression by Zhang, Feng, Zhai, Jidong, Shen, Xipeng, Wang, Dalin, Chen, Zheng, Mutlu, Onur, Chen, Wenguang, Du, Xiaoyong

“…This article provides a comprehensive description of text analytics directly on compression (TADOC), which enables direct document analytics on compressed…”
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Serum CRP interacts with SPARC and regulate immune response in severe cases of COVID-19 infection by Liu, Chengyang, Zheng, Chenyang, Shen, Xipeng, Liang, Ling, Li, Qiuyu

“…Serum C-reactive protein (CRP) has been found elevated during COVID-19 infection, and associated with systematic inflammation as well as a poor clinical…”
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Optimizing Data Placement on GPU Memory: A Portable Approach by Chen, Guoyang, Shen, Xipeng, Wu, Bo, Li, Dong

“…Modern GPUs feature complex memory system designs. One GPU may contain many types of memory of different properties. The best way to place data in memory is…”
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Free launch: Optimizing GPU dynamic kernel launches through thread reuse by Guoyang Chen, Xipeng Shen

“…Supporting dynamic parallelism is important for GPU to benefit a broad range of applications. There are currently two fundamental ways for programs to exploit…”
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Hypoxia induces alterations in tRNA modifications involved in translational control by Guo, Huanping, Xia, Lin, Wang, Wei, Xu, Wei, Shen, Xipeng, Wu, Xiao, He, Tong, Jiang, Xuelin, Xu, Yinying, Zhao, Pan, Tan, Dongmei, Zhang, Xi, Zhang, Yunfang

“…Adaptation to high-altitude hypobaric hypoxia has been shown to require a set of physiological traits enabled by an associated set of genetic modifications, as…”
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A Machine Learning Based Ensemble Forecasting Optimization Algorithm for Preseason Prediction of Atlantic Hurricane Activity by Sun, Xia, Xie, Lian, Shah, Shahil Umeshkumar, Shen, Xipeng

“…In this study, nine different statistical models are constructed using different combinations of predictors, including models with and without projected…”
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PORPLE: An Extensible Optimizer for Portable Data Placement on GPU by Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen

“…GPU is often equipped with complex memory systems, including globalmemory, texture memory, shared memory, constant memory, and variouslevels of cache. Where to…”
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Adhesive Calcium Alginate Networks Enable Robust Silver Nanowire Electrodes for Flexible Electronics by Li, Hui, Duan, Meng, Chen, Qiaomei, Zhang, Guangcong, Zhang, Zhou, Gao, Bin, Shen, Xipeng, Wei, Yen, Li, Weiwei

“…Silver nanowires (AgNWs) deposited on plastic substrates show potential as electrodes for flexible electronics but face challenges due to high surface…”
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Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity by Guoyang Chen, Yufei Ding, Xipeng Shen

“…Finding the k nearest neighbors of a query point or a set of query points (KNN) is a fundamental problem in many application domains. It is expensive to do…”
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POSTER: Cutting the Fat: Speeding Up RBM for Fast Deep Learning Through Generalized Redundancy Elimination by Lin Ning, Pittman, Randall, Xipeng Shen

“…Restricted Boltzmann Machine (RBM) is the building block of Deep Belief Nets and other deep learning tools. Fast learning and prediction are both essential for…”
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Enabling Portable Optimizations of Data Placement on GPU by Chen, Guoyang, Wu, Bo, Li, Dong, Shen, Xipeng

“…Modern GPU memory systems manifest more varieties, increasing complexities, and rapid changes. Different placements of data on memory systems often cause…”
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Reuse-Centric K-Means Configuration by Hui Guan, Yufei Ding, Xipeng Shen, Krim, Hamid

“…K-means configuration is a time-consuming process due to the iterative nature of k-means. This paper proposes reuse-centric k-means configuration to accelerate…”
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Analysis and approximation of optimal co-scheduling on Chip Multiprocessors by Jiang, Yunlian, Shen, Xipeng, Jie, Chen, Tripathi, Rahul

“…Cache sharing among processors is important for Chip Multiprocessors to reduce inter-thread latency, but also brings cache contention, degrading program…”
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Alterations of RNA Modification in Mouse Germ Cell-2 Spermatids Under Hypoxic Stress by He, Tong, Guo, Huanping, Xia, Lin, Shen, Xipeng, Huang, Yun, Wu, Xiao, Jiang, Xuelin, Xu, Yinying, Tan, Yi, Zhang, Yunfang, Tan, Dongmei

“…Hypoxia is a known stress factor in mammals and has been shown to potentially impair male fertility, which manifests as spermatogenic dysfunction and decreased…”
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Exploring hybrid memory for GPU energy efficiency through software-hardware co-design by Wang, Bin, Wu, Bo, Li, Dong, Shen, Xipeng, Yu, Weikuan, Jiao, Yizheng, Vetter, Jeffrey S.

“…Hybrid memory designs, such as DRAM plus Phase Change Memory (PCM), have shown some promise for alleviating power and density issues faced by traditional…”
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POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection by Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen

“…In this work, we conduct a systematic exploration on the promise and challenges of deep learning for the sparse matrix format selection. We propose a set of…”
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The Significance of CMP Cache Sharing on Contemporary Multithreaded Applications by Zhang, E. Z., Yunlian Jiang, Xipeng Shen

“…Cache sharing on modern Chip Multiprocessors (CMPs) reduces communication latency among corunning threads, and also causes interthread cache contention. Most…”
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Understanding co-run performance on CPU-GPU integrated processors： observations, insights, directions by ZHU, Qi, WU, Bo, SHEN, Xipeng, SHEN, Kai, SHEN, Li, WANG, Zhiying

“…Recent years have witnessed a processor develop- ment trend that integrates central processing unit （CPU） and graphic processing unit （GPU） into a single chip…”
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The Complexity of Optimal Job Co-Scheduling on Chip Multiprocessors and Heuristics-Based Solutions by Yunlian Jiang, Kai Tian, Xipeng Shen, Jinghe Zhang, Jie Chen, Tripathi, R

“…In Chip Multiprocessors (CMPs) architecture, it is common that multiple cores share some on-chip cache. The sharing may cause cache thrashing and contention…”
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Tuning for software analytics: Is it really necessary? by Fu, Wei, Menzies, Tim, Shen, Xipeng

“…Context: Data miners have been widely used in software engineering to, say, generate defect predictors from static code measures. Such static code defect…”
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