Workshop: The 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-8) in Conjunction with SC22
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TimeSunday, 13 November 20228:30am - 5pm CST
DescriptionA growing disparity between simulation speeds and I/O rates makes it increasingly infeasible for high-performance applications to save all results for offline analysis. By 2024, computers are expected to compute at 1018 ops/sec but write to disk only at 1012 bytes/sec: a compute-to-output ratio 200 times worse than on the first petascale systems. Therefore, applications must increasingly perform online data analysis and reduction—tasks that introduce algorithmic and implementation challenges that are unfamiliar to many scientists and that have major implications for the design and use of exascale systems.

This trend has spurred interest in high-performance online data analysis and reduction methods, motivated by a desire to conserve I/O bandwidth, storage, and/or power; increase accuracy of data analysis results; and/or make optimal use of parallel platforms. This requires understanding the complex relationships between application design, data analysis and reduction methods, programming models, hardware, and other elements of next-generation High Performance Computers.

Workshop Website
8:30am - 8:35am CSTDRBSD – Introduction
8:35am - 9:35am CSTDealing With Unmanageable Data Sizes in Cosmology
9:35am - 10:05am CSTUnderstanding the Effects of Modern Compressors on the Community Earth Science Model
10:05am - 10:30am CSTDRBSD – Morning Break
10:30am - 11:00am CSTAnalyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data
11:00am - 11:30am CSTExploring Data Reduction Techniques for Additive Manufacturing Analysis
11:30am - 12:00pm CSTWhat Can Real Information Content Tell Us about Compressing Climate Model Data?
12:00pm - 1:30pm CSTDRBSD – Lunch Break
1:30pm - 2:30pm CSTCompressed Number Representations for High-Performance Computing
2:30pm - 3:00pm CSTEvaluating Nonuniform Reduction in HIP and SYCL on GPUs
3:00pm - 3:30pm CSTDRBSD – Afternoon Break
3:30pm - 4:00pm CSTUnderstanding Impact of Lossy Compression on Derivative-Related Metrics in Scientific Datasets
4:00pm - 4:30pm CSTDynamic Clustering-Based Sharding in Distributed Deduplication Systems
4:30pm - 5:00pm CSTCharacterization of Transform-Based Lossy Compression for HPC Datasets
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