Given that the concurrent L1-minimization(L1-min)problem is often required in some real applications,we investigate how to solve it in parallel on GPUs in this paper.First,we propose a novel self-adaptive warp impleme...Given that the concurrent L1-minimization(L1-min)problem is often required in some real applications,we investigate how to solve it in parallel on GPUs in this paper.First,we propose a novel self-adaptive warp implementation of the matrix-vector multiplication(Ax)and a novel self-adaptive thread implementation of the matrix-vector multiplication(ATx),respectively,on the GPU.The vector-operation and inner-product decision trees are adopted to choose the optimal vector-operation and inner-product kernels for vectors of any size.Second,based on the above proposed kernels,the iterative shrinkage-thresholding algorithm is utilized to present two concurrent L1-min solvers from the perspective of the streams and the thread blocks on a GPU,and optimize their performance by using the new features of GPU such as the shuffle instruction and the read-only data cache.Finally,we design a concurrent L1-min solver on multiple GPUs.The experimental results have validated the high effectiveness and good performance of our proposed methods.展开更多
Compressive sensing(CS)is an emerging methodology in computational signal processing that has recently attracted intensive research activities.At present,the basic CS theory includes recoverability and stability:the f...Compressive sensing(CS)is an emerging methodology in computational signal processing that has recently attracted intensive research activities.At present,the basic CS theory includes recoverability and stability:the former quantifies the central fact that a sparse signal of length n can be exactly recovered from far fewer than n measurements via l1-minimization or other recovery techniques,while the latter specifies the stability of a recovery technique in the presence of measurement errors and inexact sparsity.So far,most analyses in CS rely heavily on the Restricted Isometry Property(RIP)for matrices.In this paper,we present an alternative,non-RIP analysis for CS via l1-minimization.Our purpose is three-fold:(a)to introduce an elementary and RIP-free treatment of the basic CS theory;(b)to extend the current recoverability and stability results so that prior knowledge can be utilized to enhance recovery via l1-minimization;and(c)to substantiate a property called uniform recoverability of l1-minimization;that is,for almost all random measurement matrices recoverability is asymptotically identical.With the aid of two classic results,the non-RIP approach enables us to quickly derive from scratch all basic results for the extended theory.展开更多
lin-12-like抑制/增强子(suppressor/enhancer of lin-12-like,SEL1L)分子可以参与调控多种肿瘤进展;同时,其作为内质网相关降解途径(endoplasmic reticulum-associated degradation,ERAD)的重要组成,还参与调控蛋白质合成,与内质网应激...lin-12-like抑制/增强子(suppressor/enhancer of lin-12-like,SEL1L)分子可以参与调控多种肿瘤进展;同时,其作为内质网相关降解途径(endoplasmic reticulum-associated degradation,ERAD)的重要组成,还参与调控蛋白质合成,与内质网应激(ER stress)及其引起的未折叠蛋白反应(unfolded protein response,UPR)密切相关。在肿瘤微环境中,ERAD不仅参与调控肿瘤细胞的生物学行为,对肿瘤进展发挥重要作用;其还参与对免疫细胞增殖分化、功能以及代谢途径的调节,影响免疫细胞发挥抗肿瘤免疫作用。因此,深入了解探索肿瘤微环境中SEL1L分子及ERAD的潜在机制,可为肿瘤发生、发展及免疫治疗提供新理论和新靶点。本文就SEL1L分子及其参与的内质网相关降解途径在肿瘤进展与免疫调节中的作用进行简要综述。展开更多
目的:总结MAB21L2基因的变异和临床特点,并与高度同源的MAB21L1基因进行比较。方法:对中山眼科中心临床基因数据库中MAB21L2基因变异患者进行基因型和表型分析,回顾性分析既往文献报道的MAB21L2基因和高度同源基因MAB21L1变异的表型-基...目的:总结MAB21L2基因的变异和临床特点,并与高度同源的MAB21L1基因进行比较。方法:对中山眼科中心临床基因数据库中MAB21L2基因变异患者进行基因型和表型分析,回顾性分析既往文献报道的MAB21L2基因和高度同源基因MAB21L1变异的表型-基因型的关系。结果:在2个小眼畸形家系中发现2个MAB21L2基因杂合变异:先证者1携带已知变异c.151C>G/p.(Arg51Gly),患者双眼小眼畸形伴虹膜脉络膜缺损,伴骨关节屈曲。母亲携带相同杂合变异但表型正常;先证者2携带未报道的变异c.1042G>T/p.(Glu348*),左眼小眼畸形,右眼正常且无全身异常。结合文献回顾发现,在显性遗传模式下,80%的MAB21L2杂合致病变异(20/25)和100%的MAB21L1杂合致病变异(25/25)发生在氨基酸49-52区域,导致小眼无眼或眼缺损异常(microphthalmia,anophthalmia or coloboma,MAC);携带该区域MAB21L2基因杂合突变的患者除MAC外,部分还伴骨骼关节发育异常(12/24,50%);杂合截短变异发生在MAB21L2基因可导致MAC(5/5,100%),而发生在MAB21L1则不致病。结论:在2个小眼畸形家系中发现了MAB21L2基因1个新致病变异和1个已知热点致病变异,通过文献综述比较和总结了MAB21L1和MAB21L2基因的突变频谱以及基因型-表型相互关系,为此类基因缺陷导致遗传病的诊断和鉴别诊断提供依据。展开更多
基金The research has been supported by the Natural Science Foundation of China under great number 61872422the Natural Science Foundation of Zhejiang Province,China under great number LY19F020028.
文摘Given that the concurrent L1-minimization(L1-min)problem is often required in some real applications,we investigate how to solve it in parallel on GPUs in this paper.First,we propose a novel self-adaptive warp implementation of the matrix-vector multiplication(Ax)and a novel self-adaptive thread implementation of the matrix-vector multiplication(ATx),respectively,on the GPU.The vector-operation and inner-product decision trees are adopted to choose the optimal vector-operation and inner-product kernels for vectors of any size.Second,based on the above proposed kernels,the iterative shrinkage-thresholding algorithm is utilized to present two concurrent L1-min solvers from the perspective of the streams and the thread blocks on a GPU,and optimize their performance by using the new features of GPU such as the shuffle instruction and the read-only data cache.Finally,we design a concurrent L1-min solver on multiple GPUs.The experimental results have validated the high effectiveness and good performance of our proposed methods.
文摘Compressive sensing(CS)is an emerging methodology in computational signal processing that has recently attracted intensive research activities.At present,the basic CS theory includes recoverability and stability:the former quantifies the central fact that a sparse signal of length n can be exactly recovered from far fewer than n measurements via l1-minimization or other recovery techniques,while the latter specifies the stability of a recovery technique in the presence of measurement errors and inexact sparsity.So far,most analyses in CS rely heavily on the Restricted Isometry Property(RIP)for matrices.In this paper,we present an alternative,non-RIP analysis for CS via l1-minimization.Our purpose is three-fold:(a)to introduce an elementary and RIP-free treatment of the basic CS theory;(b)to extend the current recoverability and stability results so that prior knowledge can be utilized to enhance recovery via l1-minimization;and(c)to substantiate a property called uniform recoverability of l1-minimization;that is,for almost all random measurement matrices recoverability is asymptotically identical.With the aid of two classic results,the non-RIP approach enables us to quickly derive from scratch all basic results for the extended theory.
文摘lin-12-like抑制/增强子(suppressor/enhancer of lin-12-like,SEL1L)分子可以参与调控多种肿瘤进展;同时,其作为内质网相关降解途径(endoplasmic reticulum-associated degradation,ERAD)的重要组成,还参与调控蛋白质合成,与内质网应激(ER stress)及其引起的未折叠蛋白反应(unfolded protein response,UPR)密切相关。在肿瘤微环境中,ERAD不仅参与调控肿瘤细胞的生物学行为,对肿瘤进展发挥重要作用;其还参与对免疫细胞增殖分化、功能以及代谢途径的调节,影响免疫细胞发挥抗肿瘤免疫作用。因此,深入了解探索肿瘤微环境中SEL1L分子及ERAD的潜在机制,可为肿瘤发生、发展及免疫治疗提供新理论和新靶点。本文就SEL1L分子及其参与的内质网相关降解途径在肿瘤进展与免疫调节中的作用进行简要综述。
文摘目的:总结MAB21L2基因的变异和临床特点,并与高度同源的MAB21L1基因进行比较。方法:对中山眼科中心临床基因数据库中MAB21L2基因变异患者进行基因型和表型分析,回顾性分析既往文献报道的MAB21L2基因和高度同源基因MAB21L1变异的表型-基因型的关系。结果:在2个小眼畸形家系中发现2个MAB21L2基因杂合变异:先证者1携带已知变异c.151C>G/p.(Arg51Gly),患者双眼小眼畸形伴虹膜脉络膜缺损,伴骨关节屈曲。母亲携带相同杂合变异但表型正常;先证者2携带未报道的变异c.1042G>T/p.(Glu348*),左眼小眼畸形,右眼正常且无全身异常。结合文献回顾发现,在显性遗传模式下,80%的MAB21L2杂合致病变异(20/25)和100%的MAB21L1杂合致病变异(25/25)发生在氨基酸49-52区域,导致小眼无眼或眼缺损异常(microphthalmia,anophthalmia or coloboma,MAC);携带该区域MAB21L2基因杂合突变的患者除MAC外,部分还伴骨骼关节发育异常(12/24,50%);杂合截短变异发生在MAB21L2基因可导致MAC(5/5,100%),而发生在MAB21L1则不致病。结论:在2个小眼畸形家系中发现了MAB21L2基因1个新致病变异和1个已知热点致病变异,通过文献综述比较和总结了MAB21L1和MAB21L2基因的突变频谱以及基因型-表型相互关系,为此类基因缺陷导致遗传病的诊断和鉴别诊断提供依据。
