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Xiongchao Tang

Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems
Vapro: Performance Variance Detection and Diagnosis for Production-Run Parallel Applications
A Fast Lock for Explicit Message Passing Architectures
Sparker: Efficient Reduction for More Scalable Machine Learning with Spark
PLock: A Fast Lock for Architectures with Explicit Inter-Core Message Passing
ShenTu: Processing Multi-Trillion Edge Graphs on Millions of Cores in Seconds
An Efficient In-Memory Checkpoint Method and its Practice on Fault-Tolerant HPL
Spindle: Informed Memory Access Monitoring
VSensor: Leveraging Fixed-Workload Snippets of Programs for Performance Variance Detection
Scalable Graph Traversal on Sunway TaihuLight with Ten Million Cores
Self-Checkpoint: An In-Memory Checkpoint Method Using Less Space and Its Practice on Fault-Tolerant HPL
Building Semi-Elastic Virtual Clusters for Cost-Effective HPC Cloud Resource Provisioning
CYPRESS: Combining Static and Dynamic Analysis for Top-Down Communication Trace Compression
Cost-effective cloud HPC resource provisioning by building Semi-Elastic virtual clusters

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