The proceedings contain 20 papers. The special focus in this conference is on network and parallelcomputing. The topics include: A Novel Task-Allocation Framework Based on Decision-Tree Classification Algorithm ...
ISBN:
(纸本)9783030935702
The proceedings contain 20 papers. The special focus in this conference is on network and parallelcomputing. The topics include: A Novel Task-Allocation Framework Based on Decision-Tree Classification Algorithm in MEC;qoS-Aware Scheduling for Cellular networks Using Deep Reinforcement Learning;preface;High Resolution of City-Level Climate Simulation by GPU with Multi-physical Phenomena;Adaptive Buffering Scheme for PCM/DRAM-Based Hybrid Memory Architecture;efficiency-First Fault-Tolerant Replica Scheduling Strategy for Reliability Constrained Cloud Application;Towards an Optimized Containerization of HPC Job Schedulers Based on Namespaces;architecture of an On-Time Data Transfer Framework in Cooperation with Scheduler System;data Delta Based Hybrid Writes for Erasure-Coded Storage Systems;BDCuckoo: an Efficient Cuckoo Hash for Block Device;A Two Tier Hybrid Metadata Management Mechanism for NVM Storage System;A Novel CFLRU-Based Cache Management Approach for NAND-Based SSDs;taming Congestion and Latency in Low-Diameter High-Performance Datacenters;evaluation of Topology-Aware All-Reduce Algorithm for Dragonfly networks;dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies;MPICC: Multi-Path INT-Based Congestion Control in Datacenter networks;vSketchDLC: A Sketch on Distributed Deep Learning Communication via Fine-grained Tracing Visualization;Scalable Algorithms Using Sparse Storage for parallel Spectral Clustering on GPU.
The proceedings contain 31 papers. The special focus in this conference is on network and parallelcomputing. The topics include: Adjust: An Online Resource Adjustment Framework for Microservice Programs;cloud-Native ...
ISBN:
(纸本)9783031213946
The proceedings contain 31 papers. The special focus in this conference is on network and parallelcomputing. The topics include: Adjust: An Online Resource Adjustment Framework for Microservice Programs;cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment;neuProMa: A Toolchain for Mapping Large-Scale Spiking Convolutional Neural networks onto Neuromorphic Processor;Multi-clusters: An Efficient Design Paradigm of NN Accelerator Architecture Based on FPGA;TrainFlow: A Lightweight, Programmable ML Training Framework via Serverless Paradigm;DRP:Discrete Rank Pruning for Neural network;transMigrator: A Transformer-Based Predictive Page Migration Mechanism for Heterogeneous Memory;Hardware Acceleration for 1D-CNN Based Real-Time Edge computing;DLC: An Optimization Framework for Full-State Quantum Simulation;Optimizing Winograd Convolution on GPUs via Partial Kernel Fusion;Approximation Algorithms for Reliability-Aware Maximum VoI on AUV-Aided Data Collections;CCSBD: A Cost Control System Based on Blockchain and DRG Mechanism;Number of UAVs and Mission Completion Time Minimization in Multi-UAV-Enabled IoT networks;a Spatial-Temporal Similarity-Based Cooperative Surveillance Framework by Edge;A Progressive Transmission Method of Cloud Point Data for HD Map in Autonomous Driving;IMRSim: A Disk Simulator for Interlaced Magnetic Recording Technology;Alleviating Performance Interference Through Intra-Queue I/O Isolation for NVMe-over-Fabrics;WALOR: Workload-Driven Adaptive Layout Optimization of Raft Groups for Heterogeneous Distributed Key-Value Stores;Efficient Data Placement for Zoned Namespaces (ZNS) SSDs;SchedP: I/O-aware Job Scheduling in Large-Scale Production HPC Systems;adaptive Low-Cost Loop Expansion for Modulo Scheduling;SpacKV: A Pmem-Aware Key-Value Separation Store Based on LSM-Tree;Consistent and Efficient Batch Operations for NoSQL Databases with Hybrid Timestamp;SADD: A Novel Systolic Array Accelerator with Dynamic Dataflow for Sparse GEMM i
Equitable resource allocation is currently considered as a key enabler for achieving complete parallelism in parallelcomputing. Optimized memory management mechanisms are crucial for load balance in parallel tasks. I...
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The serverless computing dispatcher receives many requests in user space and distributes them to worker nodes. These requests traverse between kernel space and user space, which increases the dispatching latency. For ...
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Integrating Mobile Edge computing (MEC) into the Internet of Things (IoT) enables IoT devices with limited computational power and energy to offload their compute-intensive and latency-sensitive tasks to the edge of t...
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How to accomplish the basic operations in cryptosystem becomes a hot research direction in the field of DNA-based cryptography. This paper proposes a DNA computing model that could fulfill parallel computation of poin...
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As the size of AI models grows dramatically to achieve higher accuracy, more and more models are trained on supercomputers with massive computing and memory. However, it is still challenging to accelerate deep learnin...
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The MAGIC NOR gate-based memristor array is a promising processing-in-memory (PIM) approach due to its massive parallelism, flexible logical operation, and non-volatile memory characteristics. The Vo-Viso MAGIC NOR ga...
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Packet loss can seriously degrade the performance of TCP flows, especially that of small latency-sensitive flows. Managing packet loss efficiently is critical for maintaining good network performance. However, th...
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