ETRI-Knowledge Sharing Plaform

Deep Neural Network(DNN) Memory Applications Distributed Memory Parameter Sharing Cost-Effective Large-Scale Deep Learning Framework Deep Learning Models High Speed Network Neural Network Training Memory Capacity Training Time Memory Integration Cluster System Device Driver Memory Extension Communication Overhead Data Processing High-Performance Computing Systems Large Capacity Distributed System(DS) Distributed Training Memory System Large Memory Application Data-Intensive Sequential Access Pattern Hpc Cluster Human Genome Experimental Test Learning Platform Design And Implementation Virtual Address Space Resource Reallocation Remote Node Integration Framework Computing Resources Extension Method Fault Handling Virtual Shared Memory Performance Bottleneck Network File System(NFS) Message Passing Interface(MPI) Computational Resources Computational Results Denovo Assembly Domain Knowledge Memory Management Model Validation Performance Evaluation Performance Gap Scattering Parameters(S-parameters) Superior Performance Big Data Analytics(BDA) Fault Detection System Software Memory Copy Memory Device Natural Language Processing Restricted Communication Self-Provisioning System Cache Synchronization Function Trial-And-Error Development Environment Prefetching Algorithm Genome Sequencing In-Memory Database Large Cluster Dashboard System Distributed Processing Mapping Management Parameter Server Shared Parameters Distributed File System Deep Learning Application Fpga Board Learning Experience Memory-Centric Computing Model Development Programming Environment I/O Bandwidth High Performance Data Integration System Linux System Design Principles Early Development Massage Passing Interface Page Fault Parallel Processing Process Migration Voice Recognition Scientific Calculation Software Integration Three Components Computation Resource Co-Designing Experiment Results Memory-Based Integrated Framework Local Memory Kernel Function Asynchronous I/O Analysis Pipeline Communication Time Distributed Machine Learning Number Of Layers Performance Test Distributed Processes Hybrid Method Image Recognition Artificial Intelligence Big Data Analysis Communication Performance Convolution Neural Network(CNN) Distributed Model Distributed Computer Systems Updating Model Learning Training Memory Manager User-Friendly Best Model Computational Problems Model Parameter Remote Memory Library Drag-And-Dropping Learning Theory Learning Process Machine Learning System Process Freezing/Resuming Random Access Training Data Low Latency Network Dynamic Resource Reconfiguration Massive Models Genome Analysis Job Management System Large Data Google Tensorflow Overhead Reduction Resource Fault Parallel Computing Parallel Computation Real-Time Rapid Development System Performance Shared Buffer Integration Architecture Distributed Computing Systems New Model Library Model Learning Methodologies Built-In Capacity Expansion