Feng Zhang

Latest

• Compressed Data Direct Computing for Databases
• F-TADOC: FPGA-Based Text Analytics Directly on Compression with HLS
• G-Learned Index: Enabling Efficient Learned Index on GPU
• Graph-Centric Performance Analysis for Large-Scale Parallel Applications
• BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach
• CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression
• Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms
• Optimizing DNNs With Partially Equivalent Transformations and Automated Corrections
• CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases
• Detecting Performance Variance for Parallel Applications Without Source Code
• Exploring Data Analytics Without Decompression on Embedded GPU Systems
• Exploring Query Processing on CPU-GPU Integrated Edge Device
• Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems
• Payment behavior prediction on shared parking lots with TR-GCN
• Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction
• POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression
• An Efficient Parallel Secure Machine Learning Framework on GPUs
• Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures
• G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression
• G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression
• Preface
• TADOC: Text analytics directly on compression
• Enabling Efficient Random Access to Hierarchically-Compressed Data
• ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs
• Payment Behavior Prediction and Statistical Analysis for Shared Parking Lots
• PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
• TADOC: Text Analytics Directly on Compression
• Guest Editorial: Special Issue on Network and Parallel Computing for Emerging Architectures and Applications
• Performance evaluation and analysis of sparse matrix and graph kernels on heterogeneous processors
• Statistical Analysis and Prediction of Parking Behavior
• An adaptive breadth-first search algorithm on integrated architectures
• Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights
• Network and Parallel Computing - 15th IFIP WG 10.3 International Conference, NPC 2018, Muroran, Japan, November 29 - December 1, 2018, Proceedings
• Zwift: A Programming Framework for High Performance Text Analytics on Compressed Data
• FinePar: irregularity-aware fine-grained workload partitioning on integrated architectures
• Understanding Co-Running Behaviors on Integrated CPU/GPU Architectures
• Characterizing and optimizing TPC-C workloads on large-scale systems using SSD arrays
• To Co-run, or Not to Co-run: A Performance Study on Integrated Architectures