Xiongchao Tang

Latest

• Detecting Performance Variance for Parallel Applications Without Source Code
• 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
• Identifying scalability bottlenecks for large-scale parallel programs with graph analysis
• ScalAna: automating scaling loss detection with graph analysis
• ScalAna: Automating Scaling Loss Detection with Graph Analysis
• pLock: A Fast Lock for Architectures with Explicit Inter-core Message Passing
• Spread-n-share: improving application performance and cluster throughput with resource-aware job placement
• 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