Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread [0.03%]
一种新的多集群工作流系统支持实时HPC使能的流行病学研究：调查疫苗接受度对COVID-19传播的影响
Parantapa Bhattacharya,Dustin Machi,Jiangzhuo Chen et al.
Parantapa Bhattacharya et al.
We present MacKenzie, a HPC-driven multi-cluster workflow system that was used repeatedly to configure and execute fine-grained US national-scale epidemic simulation models during the COVID-19 pandemic. Mackenzie supported federal and Virgi...
Communication Lower-Bounds for Distributed-Memory Computations for Mass Spectrometry based Omics Data [0.03%]
基于质谱的组学数据分布式内存计算通信下限研究
Fahad Saeed,Muhammad Haseeb,S S Iyengar
Fahad Saeed
Mass spectrometry (MS) based omics data analysis require significant time and resources. To date, few parallel algorithms have been proposed for deducing peptides from mass spectrometry-based data. However, these parallel algorithms were de...
Malte Brunn,Naveen Himthani,George Biros et al.
Malte Brunn et al.
3D image registration is one of the most fundamental and computationally expensive operations in medical image analysis. Here, we present a mixed-precision, Gauss-Newton-Krylov solver for diffeomorphic registration of two images. Our work e...
Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent [0.03%]
混合DCA：一种随机双重坐标上升的双异步方法
Soumitra Pal,Tingyang Xu,Tianbao Yang et al.
Soumitra Pal et al.
In prior works, stochastic dual coordinate ascent (SDCA) has been parallelized in a multi-core environment where the cores communicate through shared memory, or in a multi-processor distributed memory environment where the processors commun...
Modeling and analysis of epidemic spreading on community networks with heterogeneity [0.03%]
具有异质性的社区网络上的流行病传播的建模与分析
Chanchan Li,Guo-Ping Jiang,Yurong Song et al.
Chanchan Li et al.
A large number of real world networks exhibit community structure, and different communities may often possess heterogeneity. In this paper, considering the heterogeneity among communities, we construct a new community network model in whic...
Towards High Performance Data Analytic on Heterogeneous Many-core Systems: A Study on Bayesian Sequential Partitioning [0.03%]
异构多核系统上的高效数据分析研究：一种贝叶斯序列划分方法
Bo-Cheng Lai,Tung-Yu Wu,Tsou-Han Chiu et al.
Bo-Cheng Lai et al.
Bayesian Sequential Partitioning (BSP) is a statistically effective density estimation method to comprehend the characteristics of a high dimensional data space. The intensive computation of the statistical model and the counting of enormou...
Hasanuzzaman Bhuiyan,Maleq Khan,Jiangzhuo Chen et al.
Hasanuzzaman Bhuiyan et al.
An edge switch is an operation on a graph (or network) where two edges are selected randomly and one of their end vertices are swapped with each other. Edge switch operations have important applications in graph theory and network analysis,...
A uniform approach for programming distributed heterogeneous computing systems [0.03%]
分布式异构计算系统的统一编程方法研究
Ivan Grasso,Simone Pellegrini,Biagio Cosenza et al.
Ivan Grasso et al.
Large-scale compute clusters of heterogeneous nodes equipped with multi-core CPUs and GPUs are getting increasingly popular in the scientific community. However, such systems require a combination of different programming paradigms making a...
A New Augmentation Based Algorithm for Extracting Maximal Chordal Subgraphs [0.03%]
一种新的基于数据增强的求取最大弦图子图算法
Sanjukta Bhowmick,Tzu-Yi Chen,Mahantesh Halappanavar
Sanjukta Bhowmick
A graph is chordal if every cycle of length greater than three contains an edge between non-adjacent vertices. Chordal graphs are of interest both theoretically, since they admit polynomial time solutions to a range of NP-hard graph problem...
More IMPATIENT: A Gridding-Accelerated Toeplitz-based Strategy for Non-Cartesian High-Resolution 3D MRI on GPUs [0.03%]
更 impatient：基于托普利兹的网格加速策略，在GPU上实现非笛卡尔高分辨率三维MRI
Jiading Gai,Nady Obeid,Joseph L Holtrop et al.
Jiading Gai et al.
Several recent methods have been proposed to obtain significant speed-ups in MRI image reconstruction by leveraging the computational power of GPUs. Previously, we implemented a GPU-based image reconstruction technique called the Illinois M...