4 Result(s)
within
Conference Paper
Sheng Di
Computer System Implementation
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Chapter and Conference Paper
Fulfilling the Promises of Lossy Compression for Scientific Applications
Many scientific simulations, machine/deep learning applications and instruments are in need of significant data reduction. Error-bounded lossy compression has been identified as one solution and has been teste...
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Chapter and Conference Paper
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets
Because of the vast volume of data being produced by today’s scientific simulations, lossy compression allowing user-controlled information loss can significantly reduce the data size and the I/O burden. Howev...
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Chapter and Conference Paper
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales
A growing disparity between supercomputer computation speeds and I/O rates makes it increasingly infeasible for applications to save all results for offline analysis. Instead, applications must analyze and red...
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Chapter and Conference Paper
Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications
Silent data corruption (SDC) poses a great challenge for high-performance computing (HPC) applications as we move to extreme-scale systems. If not dealt with properly, SDC has the potential to influence import...
