標(biāo)題: Titlebook: Big Scientific Data Benchmarks, Architecture, and Systems; First Workshop, SDBA Rui Ren,Chen Zheng,Jianfeng Zhan Conference proceedings 201 [打印本頁] 作者: 召集會議 時間: 2025-3-21 18:27
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書目名稱Big Scientific Data Benchmarks, Architecture, and Systems被引頻次
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書目名稱Big Scientific Data Benchmarks, Architecture, and Systems讀者反饋
書目名稱Big Scientific Data Benchmarks, Architecture, and Systems讀者反饋學(xué)科排名
作者: QUAIL 時間: 2025-3-22 00:10
Stable Vector Autoregressive Processesated data reaches to petabytes scale. Retrieving data from massive data occupies a large proportion of data processing in HEP. Hence, the data query latency and throughput are the most important metrics for HEP data management. Inspired by the indexing technology of databases, the technology that im作者: 連接 時間: 2025-3-22 01:09
https://doi.org/10.1007/978-1-4899-3184-9ionships”. Now, the graph database system is used to analyze complex relationship between entities, especially, in the scientific research field. For example, the RDF-based graph database system has been used for biological data processing. Many previous works have proved that the graph database sys作者: 裂縫 時間: 2025-3-22 06:27 作者: 神經(jīng) 時間: 2025-3-22 09:45
Christopher Chatfield,Alexander J. Collinsonness is leaving parts of updating computation on server which reduces the burden of network via making transmitted data sparse. But above tricks’ convergences are not well-proved. In this paper, based on above commonness, we propose a more general algorithm named as asynchronous COMID and prove it作者: Wernickes-area 時間: 2025-3-22 14:14 作者: generic 時間: 2025-3-22 18:05
The Optimum Number of Latent Variables,ning data is required to define the normal behavior, but it is expensive to annotate the normal part for large volume data. Secondly, many algorithms are parameter-laden, which are hard to be generalized to different dataset. This paper is motivated to overcome these disadvantages. It is believed th作者: 缺陷 時間: 2025-3-22 21:45
Chemometrics and Multivariate Calibration,olution of material irradiation damage. With the improvement of memory and computational power, the multiscale simulation puts forward high demands for supercomputing, big data, and artificial intelligence. This paper explores a collaborative framework of supercomputing, big data, and artificial int作者: 窗簾等 時間: 2025-3-23 02:28
Introduction to Muon Spin Spectroscopyt’s more, the heterogeneity and multi-source of Scientific Big Data (SBD), resulting in a wide variety of databases, scientific devices and functional areas, make the incompatibility and conflict between system modules inevitable. In this context, the paper focuses on the design and technology requi作者: 侵略主義 時間: 2025-3-23 07:11 作者: MARS 時間: 2025-3-23 13:40
Conference proceedings 2019 Beijing, China, in June 2018..The 10 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on benchmarking; performance optimization; algorithms; big science data framework..作者: cruise 時間: 2025-3-23 14:28
1865-0929 8, held in Beijing, China, in June 2018..The 10 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on benchmarking; performance optimization; algorithms; big science data framework..978-981-13-5909-5978-981-13-5910-1Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: SPALL 時間: 2025-3-23 21:51
https://doi.org/10.1007/978-981-13-5910-1big data; cloud computing; computer systems; data management; information management; map-reduce; parallel作者: Osteoporosis 時間: 2025-3-24 01:24 作者: abnegate 時間: 2025-3-24 05:49 作者: Encumber 時間: 2025-3-24 09:19 作者: jagged 時間: 2025-3-24 12:12
Evaluating Index Systems of High Energy Physicsated data reaches to petabytes scale. Retrieving data from massive data occupies a large proportion of data processing in HEP. Hence, the data query latency and throughput are the most important metrics for HEP data management. Inspired by the indexing technology of databases, the technology that im作者: delegate 時間: 2025-3-24 17:14 作者: 高興一回 時間: 2025-3-24 19:25 作者: LIKEN 時間: 2025-3-25 02:52 作者: Stable-Angina 時間: 2025-3-25 04:51
A Parallel Solving Algorithm on GPU for the Time-Domain Linear System with Diagonal Sparse Matricesroposed an efficient solving algorithm on the graphics processing unit (GPU), which is called T-GMRES. In the proposed T-GMRES, three are the following novelties: (1) a new sparse storage format BRCSD is presented to alleviate the drawback of the diagonal format (DIA) that a large number of zeros ar作者: 牽連 時間: 2025-3-25 07:28 作者: 比喻好 時間: 2025-3-25 14:38 作者: patriot 時間: 2025-3-25 17:43 作者: Arbitrary 時間: 2025-3-25 21:03
Conference proceedings 2019 Beijing, China, in June 2018..The 10 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on benchmarking; performance optimization; algorithms; big science data framework..作者: pulmonary-edema 時間: 2025-3-26 00:23
Stable Vector Autoregressive Processestwo typical index systems–MySQL and HBase–for HEP data management, which are the typical SQL and NoSQL system respectively, we evaluate them from the perspectives of overall performance, system and micro-architecture behaviors. We find that HBase achieves higher performance than MySQL with the data scale increasing.作者: multiply 時間: 2025-3-26 04:41 作者: 終止 時間: 2025-3-26 10:54 作者: 天真 時間: 2025-3-26 12:38
Evaluating Index Systems of High Energy Physicstwo typical index systems–MySQL and HBase–for HEP data management, which are the typical SQL and NoSQL system respectively, we evaluate them from the perspectives of overall performance, system and micro-architecture behaviors. We find that HBase achieves higher performance than MySQL with the data scale increasing.作者: CLAN 時間: 2025-3-26 20:00 作者: 變化無常 時間: 2025-3-26 22:36
A Parallel Solving Algorithm on GPU for the Time-Domain Linear System with Diagonal Sparse Matricesion on GPU for BRCSD is proposed; and (3) for assembling the sparse matrix for BRCSD and the vector efficiently on GPU, a new kernel is suggested. The experimental results have validated the high efficiency and good performance of our proposed algorithm.作者: Peak-Bone-Mass 時間: 2025-3-27 01:13
GCM-Bench: A Benchmark for RDF Data Management System on Microorganism Datatem, that can execute the testing workloads automatically and monitor the resource utilization. Five RDF data management systems are selected for evaluation on different sizes of data using automatic test system. We think GCM-Bench will help microbiologists and system developers to select their proper RDF data management system.作者: GRE 時間: 2025-3-27 07:37
1865-0929 8, held in Beijing, China, in June 2018..The 10 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on benchmarking; performance optimization; algorithms; big science data framework..978-981-13-5909-5978-981-13-5910-1Se作者: Ancillary 時間: 2025-3-27 13:14
Christopher Chatfield,Alexander J. Collinsthe type and size of jobs. We introduce a workload-adaptive scheduling configuration (WASC) framework for heterogeneous MapReduce jobs. WASC identifies the optimal configuration for them by reasoning about their performances under different configurations.作者: 壁畫 時間: 2025-3-27 14:24
WASC: Adapting Scheduler Configurations for Heterogeneous MapReduce Workloadsthe type and size of jobs. We introduce a workload-adaptive scheduling configuration (WASC) framework for heterogeneous MapReduce jobs. WASC identifies the optimal configuration for them by reasoning about their performances under different configurations.作者: 非實(shí)體 時間: 2025-3-27 19:46
https://doi.org/10.1007/978-3-662-02691-5tem, that can execute the testing workloads automatically and monitor the resource utilization. Five RDF data management systems are selected for evaluation on different sizes of data using automatic test system. We think GCM-Bench will help microbiologists and system developers to select their proper RDF data management system.作者: 呼吸 時間: 2025-3-28 00:32
https://doi.org/10.1007/978-1-4899-3184-9etrics which we evaluated including user-observed metrics (workload execution time), system metrics (CPU utilization, I/O wait ratio and memory bandwith) and micro-architecture metrics (IPC, cache miss and branch misprediction ratio). The experiment results show that gStore performs better in comple作者: Conflict 時間: 2025-3-28 06:11
The Optimum Number of Latent Variables,sequence, then it is a candidate anomaly. And the subsequences of the same string represent a kind of normal behavior. Secondly, similarity threshold is calculated according to the similarity between normal behaviors. If the similarity between a candidate anomaly and its nearest neighbor is lower th作者: 箴言 時間: 2025-3-28 07:50 作者: sinoatrial-node 時間: 2025-3-28 11:46 作者: 天然熱噴泉 時間: 2025-3-28 15:31
Evaluating Graph Database Systems for Biological Dataetrics which we evaluated including user-observed metrics (workload execution time), system metrics (CPU utilization, I/O wait ratio and memory bandwith) and micro-architecture metrics (IPC, cache miss and branch misprediction ratio). The experiment results show that gStore performs better in comple作者: Infiltrate 時間: 2025-3-28 20:35
