NSTL国家科技图书文献中心

1. Characterization of Transform-Based Lossy Compression for HPC Datasets NSTL国家科技图书文献中心

Aekyeung Moon | Jiaxi Chen ... - 《2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data: DRBSD 2022, Dallas, Texas, USA, 13-18 November 2022》 - International Workshop on Data Analysis and Reduction for Big Scientific Data - 2022, - 56～62 - 共7页

摘要：As the scale and complexity of high | -performance computing (HPC) systems keep growing, data | compression techniques are often adopted to reduce the data | volume and processing time. While lossy compression | becomes preferable to a lossless one because of the

关键词： Analytical models | Error analysis | High performance computing | Redundancy | Transforms | Predictive models | Data models

2. Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets NSTL国家科技图书文献中心

Zhaoyuan Su | Sheng Di ... - 《2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data: DRBSD 2022, Dallas, Texas, USA, 13-18 November 2022》 - International Workshop on Data Analysis and Reduction for Big Scientific Data - 2022, - 44～53 - 共10页

摘要：Today's scientific simulations are producing | ex-tremely large amount of data everyday, which | induces grand challenges in transferring and storing the | data efficiently. Error-bounded lossy compression has | been thought of as the most promising solution to the

关键词： Measurement | Data analysis | Conferences | Solids | Distortion | Compressors | Data models

3. Dynamic Clustering-based Sharding in Distributed Deduplication Systems NSTL国家科技图书文献中心

Peng Zhou | Xiangyu Zou ... - 《2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data: DRBSD 2022, Dallas, Texas, USA, 13-18 November 2022》 - International Workshop on Data Analysis and Reduction for Big Scientific Data - 2022, - 54～55 - 共2页

摘要：Witha massive upsurge in data, combining dedu | -plication with distributed storage continuously suffer | from a low deduplication ratio when providing the | corresponding through-put. It is because distributed storage | requires sharding data on different nodes, while global

关键词： Lead acid batteries | Sharding | Data analysis | Conferences | Distributed databases | Prototypes | Throughput

4. Exploring Data Reduction Techniques for Additive Manufacturing Analysis NSTL国家科技图书文献中心

Coleman Nichols | Megan Hickman Fulp ... - 《2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data: DRBSD 2022, Dallas, Texas, USA, 13-18 November 2022》 - International Workshop on Data Analysis and Reduction for Big Scientific Data - 2022, - 21～28 - 共8页

摘要：Additive manufacturing is a rapidly growing | area that has the potential to revolutionize society | . In order to better understand and improve this | process, scientists and engineers conduct detailed | studies on the applicability of various materials and

关键词： Lead acid batteries | Image resolution | Data analysis | Conferences | Data compression | Bandwidth | Image capture

5. Understanding the Effects of Modern Compressors on the Community Earth Science Model NSTL国家科技图书文献中心

Robert Underwood | Julie Bessac ... - 《2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data: DRBSD 2022, Dallas, Texas, USA, 13-18 November 2022》 - International Workshop on Data Analysis and Reduction for Big Scientific Data - 2022, - 1～10 - 共10页

摘要：The Community Earth Science Model (CESM) is an | important tool in climate modeling that produces a large | volume of data on each simulation. Researchers have | increasingly been turning to both lossless and lossy | compression as an approach to reduce the volume of data for

关键词： Solid modeling | Analytical models | Data analysis | Conferences | Geoscience | Turning | Data models

6. Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data NSTL国家科技图书文献中心

Jinzhen Wang | Pascal Grosset ... - 《2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data: DRBSD 2022, Dallas, Texas, USA, 13-18 November 2022》 - International Workshop on Data Analysis and Reduction for Big Scientific Data - 2022, - 11～20 - 共10页

摘要：Cosmology simulations are among some of the | largest simulations currently run on supercomputers | , generating terabytes to petabytes of data for each run | . Consequently, scien-tists are seeking to reduce the amount of | storage needed while preserving enough quality for

关键词： Measurement | Image quality | Solid modeling | Data analysis | Conferences | Data visualization | Rendering (computer graphics)

7. What can real information content tell us about compressing climate model data? NSTL国家科技图书文献中心

Hayden Sather | Alexander Pinard ... - 《2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data: DRBSD 2022, Dallas, Texas, USA, 13-18 November 2022》 - International Workshop on Data Analysis and Reduction for Big Scientific Data - 2022, - 29～36 - 共8页

摘要：The massive data volumes produced by climate | simulation models create an urgent need for data reduction | . Lossy compression in particular is a solution that can | significantly reduce storage requirements, however, a tradeoff | must be made between the amount of compression

关键词： Measurement | Earth | Analytical models | Data analysis | Conferences | Computational modeling | Data visualization

8. Evaluating Nonuniform Reduction in HIP and SYCL on GPUs NSTL国家科技图书文献中心

Zheming Jin | Jeffrey S. Vetter - 《2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data: DRBSD 2022, Dallas, Texas, USA, 13-18 November 2022》 - International Workshop on Data Analysis and Reduction for Big Scientific Data - 2022, - 37～43 - 共7页

摘要：Motivated by maturing programming models and | portability for heterogeneous computing, we describe the | challenges posed by hardware architectures and programming | models when migrating an optimized implementation of | nonuniform reduction from CUDA to HIP and SYCL. We explain

关键词： Computational modeling | Biological system modeling | Graphics processing units | Computer architecture | Programming | Libraries | Heterogeneous networks

9. Productive and Performant Generic Lossy Data Compression with LibPressio NSTL国家科技图书文献中心

Robert Underwood | Victoriana Malvoso ... - 《2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data: DRBSD-7, St. Louis, Missouri, USA, 14 November 2021》 - International Workshop on Data Analysis and Reduction for Big Scientific Data - 2021, - 1～10 - 共10页

摘要：In recent years, lossless and lossy | compressors have been developed to cope with the ever | increasing volume of scientific floating point data | . However not all compression techniques are appropriate | for all data-sets, and determining which one to use

关键词： Codes | Tensors | Data analysis | Conferences | Data compression | Libraries | Time measurement

NSTL主题词： lossy compression | Andromeda

10. TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather Simulations NSTL国家科技图书文献中心

Yu Wang | Natalie Klein ... - 《2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data: DRBSD-7, St. Louis, Missouri, USA, 14 November 2021》 - International Workshop on Data Analysis and Reduction for Big Scientific Data - 2021, - 33～39 - 共7页

摘要：Computer simulations continue to grow in size | and complexity and are moving towards exascale | . Simulations at this scale can generate outputs that exceed | both storage capacity and the bandwidth available for | transferring to storage, making traditional offline

摘要：As the scale and complexity of high | -performance computing (HPC) systems keep growing, data | compression techniques are often adopted to reduce the data | volume and processing time. While lossy compression | becomes preferable to a lossless one because of the

关键词： Analytical models | Error analysis | High performance computing | Redundancy | Transforms | Predictive models | Data models

摘要：Today's scientific simulations are producing | ex-tremely large amount of data everyday, which | induces grand challenges in transferring and storing the | data efficiently. Error-bounded lossy compression has | been thought of as the most promising solution to the

关键词： Measurement | Data analysis | Conferences | Solids | Distortion | Compressors | Data models

摘要：Witha massive upsurge in data, combining dedu | -plication with distributed storage continuously suffer | from a low deduplication ratio when providing the | corresponding through-put. It is because distributed storage | requires sharding data on different nodes, while global

关键词： Lead acid batteries | Sharding | Data analysis | Conferences | Distributed databases | Prototypes | Throughput

摘要：Additive manufacturing is a rapidly growing | area that has the potential to revolutionize society | . In order to better understand and improve this | process, scientists and engineers conduct detailed | studies on the applicability of various materials and

关键词： Lead acid batteries | Image resolution | Data analysis | Conferences | Data compression | Bandwidth | Image capture

摘要：The Community Earth Science Model (CESM) is an | important tool in climate modeling that produces a large | volume of data on each simulation. Researchers have | increasingly been turning to both lossless and lossy | compression as an approach to reduce the volume of data for

关键词： Solid modeling | Analytical models | Data analysis | Conferences | Geoscience | Turning | Data models

摘要：Cosmology simulations are among some of the | largest simulations currently run on supercomputers | , generating terabytes to petabytes of data for each run | . Consequently, scien-tists are seeking to reduce the amount of | storage needed while preserving enough quality for

关键词： Measurement | Image quality | Solid modeling | Data analysis | Conferences | Data visualization | Rendering (computer graphics)

摘要：The massive data volumes produced by climate | simulation models create an urgent need for data reduction | . Lossy compression in particular is a solution that can | significantly reduce storage requirements, however, a tradeoff | must be made between the amount of compression

关键词： Measurement | Earth | Analytical models | Data analysis | Conferences | Computational modeling | Data visualization

摘要：Motivated by maturing programming models and | portability for heterogeneous computing, we describe the | challenges posed by hardware architectures and programming | models when migrating an optimized implementation of | nonuniform reduction from CUDA to HIP and SYCL. We explain

关键词： Computational modeling | Biological system modeling | Graphics processing units | Computer architecture | Programming | Libraries | Heterogeneous networks

摘要：In recent years, lossless and lossy | compressors have been developed to cope with the ever | increasing volume of scientific floating point data | . However not all compression techniques are appropriate | for all data-sets, and determining which one to use

关键词： Codes | Tensors | Data analysis | Conferences | Data compression | Libraries | Time measurement

NSTL主题词： lossy compression | Andromeda

摘要：Computer simulations continue to grow in size | and complexity and are moving towards exascale | . Simulations at this scale can generate outputs that exceed | both storage capacity and the bandwidth available for | transferring to storage, making traditional offline

关键词： Analytical models | Adaptation models | Computational modeling | Message passing | Memory | Data models | Inference algorithms

NSTL主题词： space weather | Streaming | principal components analysis | Passive Cutaneous Anaphylaxis | dimensions | Distribute | simulating

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