Wenguang Chen

Latest

• GLM-130B: An Open Bilingual Pre-trained Model
• BaGuaLu: targeting brain scale pretrained models with over 37 million cores
• Detecting Performance Variance for Parallel Applications Without Source Code
• GLM-130B: An Open Bilingual Pre-trained Model
• 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
• AIPerf: Automated machine learning as an AI-HPC benchmark
• Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures
• TADOC: Text analytics directly on compression
• AIPerf: Automated machine learning as an AI-HPC benchmark
• TADOC: Text Analytics Directly on Compression
• HiWayLib: A Software Framework for Enabling High Performance Communications for Heterogeneous Pipeline Computations
• 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
• Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights
• Spindle: Informed Memory Access Monitoring
• vSensor: leveraging fixed-workload snippets of programs for performance variance detection
• Zwift: A Programming Framework for High Performance Text Analytics on Compressed Data
• FinePar: irregularity-aware fine-grained workload partitioning on integrated architectures
• 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
• Understanding Co-Running Behaviors on Integrated CPU/GPU Architectures
• Versapipe: a versatile programming framework for pipelined computing on GPU
• A survey of cloud resource management for complex engineering applications
• Building Semi-Elastic Virtual Clusters for Cost-Effective HPC Cloud Resource Provisioning
• Characterizing and optimizing TPC-C workloads on large-scale systems using SSD arrays
• Performance Prediction for Large-Scale Parallel Applications Using Representative Replay
• A Power-Conserving Online Scheduling Scheme for Video Streaming Services
• Automatic Cloud I/O Configurator for I/O Intensive Parallel Applications
• Optimizing seam carving on multi-GPU systems for real-time content-aware image resizing
• To Co-run, or Not to Co-run: A Performance Study on Integrated Architectures
• CYPRESS: Combining Static and Dynamic Analysis for Top-Down Communication Trace Compression
• Optimizing Seam Carving on multi-GPU systems for real-time image resizing
• ACIC: automatic cloud I/O configurator for HPC applications
• ACIC: automatic cloud I/O configurator for parallel applications
• Cost-effective cloud HPC resource provisioning by building semi-elastic virtual clusters
• Employing Checkpoint to Improve Job Scheduling in Large-Scale Systems
• Cloud versus in-house cluster: evaluating Amazon cluster compute instances for running MPI applications
• Efficiently Acquiring Communication Traces for Large-Scale Parallel Applications
• One optimized I/O configuration per HPC application: leveraging the configurability of cloud
• PHANTOM: predicting performance of parallel applications on large-scale parallel machines using a single node
• FACT: fast communication trace collection for parallel applications through program slicing
• LogGPO: An accurate communication model for performance prediction of MPI programs
• Process Mapping for MPI Collective Communications