Системы, в которых обработка данных распределена между множеством компьютеров в сети. Выберите подраздел для уточнения специфических подходов и архитектур.


361 публикаций

Нажмите рядом со статьёй — скопируете ссылку для списка литературы по ГОСТ.

Extreme-Scale Atomistic Simulation of Real-Temperature Magnetic Skyrmion Dynamics by Coupled Spin-Lattice Modeling
On the Limits of Causal Observation in Shared-Memory Systems
The Multipath Reliable Connection (MRC) Transport
CoAgent: Concurrency Control for Multi-Agent Systems
Is RISC-V Ready for Massively Parallel Astrophysical Codes?
Prefill/Decode-Aware Evaluation of LLM Inference on Emerging AI Accelerators
RouteBalance: Fused Model Routing and Load Balancing for Heterogeneous LLM Serving
Latency Prediction for LLM Inference on NPU Systems
S4oP: Operator-level Pruning of Structured State Space Models for Resource-Constrained Devices
Gatling: Rapid-Fire Consensus from Parallel Composition
SocialCom 2019 Organizing Committee
Green SARC: Predictive Cost and Carbon Governance for Agentic AI Systems
Quantifying the Impact of Lossy Compression on Neural Generative Surrogate Modeling
PreLort: Prefix-Nested LoRA for Federated Fine-Tuning under Rank Heterogeneity
A Unified Constant-Time Switch Rule for Constructing Edge-Disjoint Hamiltonian Cycles in Gaussian Networks
Di5Guise: 5G Privacy with vSIM
A Modern Large-Scale Memory Characterization Laboratory
JiRAIYA: A Reputation-Based Hierarchical Federated Learning Framework on Web3
Tangram: Hiding GPU Heterogeneity for Efficient LLM Parallelization
Diagonal-Budgeted Trotterization for Efficient Quantum Hamiltonian Simulation
Re-Rooting-Based Fault-Tolerant Broadcasting in Dense Gaussian Networks
Design Methodology and Performance Trade-offs Management for Distributed and Compound AI Systems
PLAIground: SLO-Driven Runtime Model Selection for Compound AI Systems in the Edge-Cloud-Space Continuum
Simulation-Based Performance Evaluation of Sharded Blockchain Architectures
High-Order Spectral Element Methods for Wave Propagation on ARM Multicore CPU with SME: Optimizations and Implications
Maestro: Workload-Aware Cross-Cluster Scheduling for LLM-Based Multi-Agent Systems
Simple-IT: Practical Low-Latency Signature-Free BFT Consensus
When Errors Become Narratives: A Longitudinal Taxonomy of Silent Failures in a Production LLM Agent Runtime
parRSB: Exascale Spectral Element Mesh Partitioning
Aidos: A Hybrid Optimization Algorithm for Beam Hopping Scheduling in NGSO Mega-Constellations
StreamRTPS: Increasing DDS Bandwidth Efficiency by Reducing Protocol Overhead
Selective Field Transmission: Bandwidth Efficient Communication under Standardized Message Schemas
When the UE Turns Adversary: Real-Time Uplink Jamming from Within 5G Networks
ITME: Inference Tiered Memory Expansion with Disaggregated CXL-Hybrid Memories
Graphical Causal Reasoning for Root Cause Analysis in Cloud Networks
NetCause: Counterfactual Learning for Root Cause Analysis in Large-Scale Networks
Beyond Virtual Delay: Improving Packet Delay Bound in Network Calculus
Fairness-Aware and Latency-Controllable Scheduling for Chunked-Prefill LLM Serving
Parallel SMT Solving via Dynamic Partitioning, Core-Guided Pruning, and Online Backbone Detection
A Low-Latency Semantic State Estimator using Latent Predictive Learning for Dynamic Network Monitoring and Orchestration
Achieving Cloud-Grade SLOs for Local Mixture-of-Experts Inference through CPU-GPU Hybrid Design
A Hybrid Edge-Cloud Architecture for Low-Latency Entitlement Verification in Resource-Constrained Devices
Inverse Probability Weighting and Age-of-Information Aggregation for Decentralized Federated Learning under Partial Reception
Block-A-Mole: The Sustainability Frontier of Moving-Target Censorship Resistance
Efficient and Robust Online Learning to Rank in Decentralized Systems
Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark
Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers
StageFrontier: Synchronization-Aware Stage Accounting for Distributed ML Training
Terastal: Layer-Variant-based Scheduling for Real-Time Multi-DNN Workloads on Heterogeneous Accelerators
Communication Strategy Selection for Multi-GPU 3D FDTD with Convolutional Perfectly Matched Boundary Layers
Harnessing Routing Foresight for Micro-step-level MoE load balancing in RL Post-training
From Fork-Join to Asynchronous Tasks: Parallelizing Tiled Cholesky Decomposition with OpenMP and HPX
Near-Optimal Distributed 2-Ruling Sets on Graphs with Low Arboricity
The PM-EdgeMap: Towards Real-Time Process Mining on the Edge-Cloud Continuum
Chimera: Protocol-Aware Recovery for Confidential BFT Consensus
Concepts in Practice: C++ MPI Bindings for the HPC Ecosystem. From a Standardizable Core to a Composable Interface
AutoPilot: Learning to Steer High Speed Robust BFT
CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon
Performance limits of divisible load processing in systems with limited communication buffers
Demo: BeGREEN Intelligence Plane for AI-driven Energy Efficient O-RAN management
Blockage-Aware Non-stationary Dynamic Bandit for User Association in mmWave V2X Networks
PCCL: Process Group-Aware Scalable and Generic Collective Algorithm Synthesizer
Predictive Autoscaling in Cloud-Native and Federated Cloud-Edge Computing Environments: A Taxonomy and Future Directions
Clairvoyant: Predictive SJF Scheduling to Mitigate Head-of-Line Blocking in Serial LLM Backends
FairWave : A Fairness-Aware Asynchronous DAG-BFT Consensus
A Neurosymbolic Prolog Skill for LLM-Driven Service Placement
Revisiting "Cooler is Better": ITD-Aware Per-CPU Thermal Optimization for Sustainable Data Center Operation
Piper: A Programmable Distributed Training System
Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems
IN2P3 Computing Center 2024 Workload Dataset
Beyond Greedy Chunking: SLO-Aware Sliding-Window Scheduling for LLM Inference
Demystifying NVSHMEM: A System-Level Analysis on Symmetric Memory and Device-Initiated Operations in GPU Communication
Cost-Aware Speculative Execution for LLM-Agent Workflows: An Integrated Five-Dimension Method
Demand-Driven Vulnerability Detection for Cloud Security Posture Management: Removing Human Rule Authoring from the Disclosure-to-Protection Critical Path
AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments
Quantifying and Defending against the Privacy Risk in Logit-based Federated Learning
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing
Predicting the Stability of Large-scale Distributed Stream Processing Systems on the Cloud
Kairos: Lightweight Testing Framework for Timing-Induced Interaction Failures in LTE and 5G Core Networks
HetCCL: Enabling Collective Communication For Mixed-Vendor Heterogeneous Clusters
Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis
Multi-SPIN: Multi-Access Speculative Inference for Cooperative Token Generation at the Edge
Contrastive Learning and Correlation Clustering for Sequences of Network Telescope Data
From Network Experience to Subscriber Retention: An Explainable AI Framework for Mobile Operators
Thou Shall Not Pass: Gatekeeping Outbound TLS Connections
Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure
Parallelizing Large-Scale Tensor Network Contraction on Multiple GPUs
The local complexity of certifying parity
Graph Traversal on Tensor Cores: A BFS Framework for Modern GPUs
SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines
Bitcoin After Block Rewards
Offloading L7 Policies to the Kernel
DxPTA: An Architecture Design Space Exploration with Optical Dataflow-guided Strategy for HW/SW Co-Design of Photonic Transformer Accelerators
Demystifying Pipeline Parallelism: First Theory for PipeDream
SIGMA: A Versatile Streaming Graph Partitioner for Vertex- and Edge-Balanced Distributed GNN Training
EvalStop: Using World Feedback to Detect and Correct Reward Overoptimization in Multi-Tenant RLHF Platforms
Notarized Agents: Receiver-Attested Confidential Receipts for AI Agent Actions
ACEAPEX: Parallel LZ77 Decoding via Encode-Time Absolute Offset Resolution
FlexNPU: Transparent NPU Virtualization for Dynamic LLM Prefill-Decode Co-location
Strategies for Molecular Dynamics using Hybrid Systems: LAMMPS Use Case
Not All Errors Are Equal: A Systematic Study of Error Propagation in Large Language Model Inference
Call for Papers for IEEE Transactions on Parallel and Distributed Systems (TPDS) Special Issue on Cloud Computing
RadiusFPS: Efficient Farthest Point Sampling on CPUs and GPUs via Spherical Voxel Pruning
Discrete Incremental Voting: New Bounds for General Graphs and Expanders
On GPU Implementation for Multi-Precision Integer Division
Session details: Cloud Systems
ISPA 2019 Organizing Committee
Parallel query processing for cloud computing environments
Keynote Speech
Parallel Programming Models and Systems for High Performance Computing
RadioMaster: Multi-Agent System for Autonomous Radio Signal Generation
A Unified E2E Energy Efficiency Testing Framework for Open RAN
Waiting at the front door: Continuous monitoring of latency in the host network stack
Statistically Robust Resource Block Allocation for Satellite Communications
Towards efficient program execution on edge-cloud computing platforms
Libra: Efficient Resource Management for Agentic RL Post-Training
OpenAgenet/OAN: Technical Architecture for Trust-Governed Agent Identity and Discovery
BlobShuffle: Cost-Effective Repartitioning in Stream Processing Systems via Object Storage Exemplified with Kafka Streams
Predicting Lakehouse Performance in Clouds: An Empirical Exploration of Query Runtime Variance
2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
Diagnosing permanent faults in distributed and parallel computing systems using artificial neural networks
Deterministic Distance Approximation in MPC via Improved Hitting Sets
Fast TetraBFT: Optimizing Latency Where It Matters
E2LLM: Towards Efficient LLM Serving in Heterogeneous Edge/Fog Environments
NetKV: Network-Aware Decode Instance Selection for Disaggregated LLM Inference
Table of Contents
GNN-based Online Beamforming Design for HAPS-Assisted NTN
KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless
An efficient energy saving task consolidation algorithm for cloud computing systems
GPU Acceleration of Learning With Errors KEMs Using OpenACC for Post-Quantum Cryptography
Residual-Weighted Randomized Jacobi: Sharpened Bounds via Residual Concentration and Asynchronous Extension
GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning
Fail-Closed Lowering of Resident KV Claims onto LLM Serving Runtimes
Energy-Efficient Aggregation and Minimum-Degree Spanning Trees in Radio Networks
Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended
Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences
Session PC: Parallel, distributed, & cloud computing
An Efficient Scheduling Algorithm for Distributed Heterogeneous Systems with Task Duplication Allowed
EFaaS: A Quantum-Classical Serverless Entangled Scheduler for Hybrid Variational Algorithms
MeshGuard: MUD-Based Network Access Control for Large-Scale Thread-Powered IoT Networks
SQEEZ: Energy-efficient Location Sharing for Mobile Ad Hoc Networks
Rotary GPU: Exploring Local Execution Paths for Large Mixture-of-Experts Models Under Limited GPU Memory
CA-AC-MPC: CUDA-Accelerated Actor-Critic Model Predictive Control
Understanding and Reducing Metadata-Driven Host Overheads in Sampling-Based GNN Training
Silent Data Corruption Protection through Efficient Task Replication
Entanglement distribution protocols under imperfect fidelity and quantum memory conditions
An efficient Progressive Swapping to the Middle distribution protocol adapted to imperfect quantum memories in quantum networks
S$^3$LDBO: A Snapshot Single-Loop Algorithm for Decentralized Bilevel Optimization
DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs
Parallel Simulation of Shield Tunnelling on Distributed Memory and GPGPU Systems
Special Issue: International Parallel and Distributed Processing Symposium 2000
Reducing Subtask Dispersion in Parallel Systems
Performance Analysis of Image Classification between Edge and Cloud Computing
Keynote 1: The Role of Functional Memories in Parallel Information Processing with Localized and Distributed Systems
Copyright Page
[Title page]
Addressing Variable Heterogeneity in Distributed Multimodal Training with Entrain
Throughput-Optimized Networks at Scale
SiDP: Memory-Efficient Data Parallelism for Offline LLM Inference
Resource Allocation in HyperX Networks
Eliminating Premature Termination in Multihop Rendezvous for Cognitive Radio-based Emergency Response Network
EnCoR: An end-to-end architecture for simplifying cellular networks
GridPilot: Real-Time Grid-Responsive Control for AI Supercomputers
Configuration-Driven Dynamic API Routing for Resilient Service Integrations
When Does Deep RL Beat Calibrated Baselines? A Benchmark Study on Adaptive Resource Control
Characterization-Guided GPU Fault Resilience in NVIDIA MPS
Author Index
Failure Rules Based Node Resource Provision Policy for Cloud Computing
Ciphera: A Decentralised Biometric Identity Framework
Effective MPI: User-defined Datatypes and Cartesian Communicators for Zero-copy All-to-all Communication in Multidimensional Tori
Q-ANCHOR: Federated Quantum Learning with ZNE-guided Correction
RAFI -- A Ray/Work Forwarding Infrastructure for Data Parallel Multi-Node/Multi-GPU Computing
Context-aware Simopt-Power: Using structural data with simulation metadata to optimise FPGA designs
Optimus: Elastic Decoding for Efficient Diffusion LLM Serving
Kavier: Exploring Performance, Sustainability, and Efficiency of LLM Ecosystems under Inference through Cache-Aware Discrete-Event Simulation
DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum
Session details: Cloud Systems
mmDiff: A Noise-Robust Differentiable Ray-Tracing Framework for mmWave Scene Calibration and Channel Prediction
SLA-Aware Traffic Steering in Hybrid TN-NTN 5G Backhaul: A Potential Game Approach
Birkhoff Decompositions and Photonic Interconnects Wait! Don't Forget the Compute!
Multi-Factor Trust-Driven Secure Communication Model for Cloud-Based Digital Twins
Herring: Parallel Batch-Order-Fairness on DAG-based Blockchain Consensus
AMP: Arc Multi-Proposer Protocol with Bounded Inclusion Guarantees
Flare: Leveraging Serverless Elasticity to Absorb Microservice Load Spikes
Ant Backpressure Routing for Dynamic Wireless Multi-hop Networks with Mixed Traffic Patterns
RxGS: Receiver-Generalizable 3D Gaussian Splatting for Radio-Frequency Data Synthesis
Latency in Real-Time 3D Volumetric Streaming: A Comprehensive Study
File system to support secure cloud-based sharing
Impact of Atmospheric Turbulence and Pointing Error on Earth Observation
A Formal Semantics of C with OpenMP Parallelism (Extended Version)
Reducing Internal State in Eigenvalue-Only Divide-and-Conquer Tridiagonal Eigensolvers
RT-RkNN: Reverse k Nearest Neighbor Queries as a Graphics Ray Casting Problem
DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks
Combined Radar and Magnetometer Sensor Network with LoRa-Mediated Awareness for Wildlife-Vehicle Collision Prevention: A Monte Carlo Analysis
Asymmetric Virtual Memory Paging for Hybrid Mamba-Transformer Inference
A distributed integrated request processing algorithm for QoS assurance in large-scale media-based systems
Fine-Tuning and Serving Gemma 4 31B on Google Cloud TPU: A Technical Comparison with GPU Baselines
When Agents Control Robots: A Zero Trust Policy Model for Agentic Cyber-Physical Systems
Bandwidth-Aware LLM Inference on Heterogeneous Many-Core Supercomputers
Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment
Extreme-Scale Interconnection Networks
Nonlinear spectral clustering with C++ GraphBLAS
ReMoE: Boosting Expert Reuse through Router Fine-Tuning in Memory-Constrained MoE LLM Inference
Autonomic Federated-Market Orchestration for the Edge-Cloud Continuum
Dual time-scale distributed capacity allocation and load redirect algorithms for cloud systems
Astragalus: Automatic Configuration Repair for Production Networks
SafeSABR: Risk-Calibrated Adaptive Bitrate Streaming over Starlink Networks
BShare: Packet Queueing Delay-Driven Buffer Sharing for Datacenter Switches
Adaptive KV Cache Reuse for Fast Long-Context LLM Serving
The Time is Here for Just-in-Time Systems: Challenges and Opportunities
Identifying and Mitigating Systemic Measurement Bias in Production LLM Inference Benchmarks
Polar: Agentic RL on Any Harness at Scale
Resident KV Claims: A Conformance Contract for Future Reuse under Active KV Pressure
Повышение эффективности управления микроклиматом теплиц с использованием нейросетевых технологий и распределённых встраиваемых систем
Интеграция и передача данных с БПЛА при мониторинге и ликвидации последствий чрезвычайных ситуаций на железнодорожной инфраструктуре
LiveR: Fine-Grained Elasticity via Live Reconfiguration for Model Training
Secure and Parallel Determinant Computation for Large-Scale Matrices in Edge Environments
SepsisAI Orchestrator: A Containerized and Scalable Platform for Deploying AI Models and Real-Time Monitoring in Early Sepsis Detection
Nf-PEAK: Process-Based Energy Attribution for Nextflow Workflows on Kubernetes Clusters
HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs
SDNator is Not Another SDN Controller: Enabling Extensible Data-Driven Control in Cyber-Physical Systems
Enhancing Energy Efficiency in Scientific Workflows through CFD based PIVAEs
Hypergraph Partitioning on GPU with Distinct Incident Hyperedges and Size Constraints
Hybrid Edge-HPC Systems for Low-Latency Data-Driven Inference
Llamas on the Web: Memory-Efficient, Performance-Portable, and Multi-Precision LLM Inference with WebGPU
Instant GPU Efficiency Visibility at Fleet Scale
A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems
An integrated resource scheduling approach on cluster computing systems
[Copyright notice]
Current trends in high performance parallel and distributed computing
Mobility of Data in Distributed Hybrid Computing Systems
Efficient Parallel CTL Model-Checking for Pushdown Systems
BDCloud 2019 Organizing Committee
From Automated to Autonomous: Hierarchical Agent-native Network Architecture (HANA)
Domijn: The Security of Domain Registrars and the Risk of a Domain Name Takeover
Partially Observable Restless Bandits for Age-Optimal Scheduling over Markov Channels
[Copyright notice]
Author Index
iHAC: A Hybrid Cluster Architecture for Enhanced Performance and Resilience
LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging
Ark: Offchain Transaction Batching in Bitcoin
Diagnosing Overhead in Dispatch Operations: Cross-architecture Observatory
NanoCP: Request-Level Dynamic Context Parallelism for Data-Expert Parallel Decoding
Generalized Compare-and-Swap and Space-Efficient Universal Constructions for the Infinite-Arrival Model
Quantum-Enhanced Distributed Sensor Fusion: Lower Bounds on Aggregation from Projection Noise to Heisenberg-Limited Byzantine-Tolerant Networks
LatentBox: Storing AI-Generated Images at Scale via a Latent-First Design
Resilient Byzantine Agreement with Predictions
Profiling Hemodynamic Application for Parallel Computing in the Cloud
Decentralized Computation Offloading Game for Mobile Cloud Computing
2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
Special Issue on Cloud Computing
2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom)
Distributed Loop Scheduling Schemes for Cloud Systems
Teaching Cloud Computing: Motivations, Challenges and Tools
Distributed Stochastic Graph Algorithms
Frontier: Towards Comprehensive and Accurate LLM Inference Simulation
Bitcoin's Power Law: Weak Structure, Strong Forecasts
PALS: Power-Aware LLM Serving for Mixture-of-Experts Models
Supporting Cloud Computing in Thin-Client/Server Computing Model
Title Page i
[Title page i]
Table of Contents
NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering
A Persistence-Aware Framework for Age Violation Control in Wireless Status Update Systems
Data-Free Client Contribution Estimation via Logit Maximization for Federated Learning
Send: Objects, History, and Transactions in a Single-Verb Kernel
DAG-Based QoS-Aware Dynamic Task Placement for Networked Multi-Stage Control Pipelines
Deep Tech to Space: Space Data Centers and AI Revolution at the Edge
GEM: GPU-Variability-Aware Expert to GPU Mapping for MoE Systems
Taking Cryptography Out of the Data Path via Near-Memory Processing in DRAM
Program Committee
Avoiding disruptive failovers in transaction processing systems with multiple active nodes
Workshop 7: HPBDC High-Performance Big Data and Cloud Computing
Resilience under Uncertainty: Securing 6G through Stochastic Reinstantiation of RAN Functions
TG-DIN: Theory-Guided Demand Inference Network for Generalizable QoS Measurement and Prediction
Operator-Controlled 6G: From Connectivity Infrastructure to Guaranteed Digital Services
The Internet Runs on Names
EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet
PopPy: Opportunistically Exploiting Parallelism in Python Compound AI Applications
Ranking Opinions with Few States in Population Protocols
Mosaic: Towards Efficient Training of Multimodal Models with Spatial Resource Multiplexing
RBAC for High Performance Computing Systems Integration in Grid Computing and Cloud Computing
Parallel and Distributed Systems
Realizing dynamic resource orchestration on cloud systems in the cloud-to-edge continuum
Java for parallel and distributed computing workshop
РАЗРАБОТКА ИНТЕЛЛЕКТУАЛЬНОГО ЧАТ-БОТА ДЛЯ АВТОМАТИЗАЦИИ ОТВЕТОВ И АНАЛИЗА ПОТРЕБНОСТЕЙ ПОЛЬЗОВАТЕЛЕЙ: ИНФОРМАТИКА И ВЫЧИСЛИТЕЛЬНАЯ ТЕХНИКА
УНИФИЦИРОВАННАЯ СИСТЕМА УПРАВЛЕНИЯ ДАННЫМИ ПОЛЬЗОВАТЕЛЕЙ
Повышение транзакционной надежности передачи данных в интегрированных системах с использованием технологии Smart Dust
ИСПОЛЬЗОВАНИЕ РАСПРЕДЕЛЁННОГО КЭШИРОВАНИЯ ДЛЯ ПОВЫШЕНИЯ ПРОИЗВОДИТЕЛЬНОСТИ ВЫСОКОНАГРУЖЕННЫХ СИСТЕМ
KASLR-MT: Kernel Address Space Layout Randomization for Multi-Tenant cloud systems
Multi-Resource Fair Allocation in Heterogeneous Cloud Computing Systems
Parallel iterative methods with retards for linear systems
Keynote 1: Mobile cloud and crowd computing and sensing
Dynamic Task Allocation for Robotic Network Cloud Systems
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
TierCheck: Tiered Checkpointing for Fault Tolerance in Large Language Model Training
Guard: Scalable Straggler Detection and Node Health Management for Large-Scale Training
AdaptiveLoad: Towards Efficient Video Diffusion Transformer Training
Sponsors
Half Title Page
An Edge Computing Architecture and Application Oriented to Distributed Microgrid
Computing Systems in the Foundation Model Era
Table of contents
Dependable Autonomic Cloud Computing with Information Proxies
Genetic-variable neighborhood search with thread replication for mobile cloud computing
PLAR: Parallel Large-Scale Attribute Reduction on Cloud Systems
More Than Meets the Eye: A Semantics-Aware Traffic Augmentation Framework for Generalizable Website Fingerprinting
Agents Should Replace Narrow Predictive AI as the Orchestrator in 6G AI-RAN
Convolutional-Neural-Networks for Deanonymisation of I2P Traffic
Avoiding Cross-Datacenter Collective Congestion via Disaggregated Buffering
On the Fragility of Data Attribution When Learning Is Distributed
A Few GPUs, A Whole Lotta Scale: Faithful LLM Training Emulation with PrismLLM
ParamSpMM: Adaptive and Efficient Sparse Matrix-Matrix Multiplication on GPUs for GNNs
Scale: Deep Reinforcement Learning for Container Scheduling in Serverless Edge Computing
MAxLM: Multi-Agent Language Model-Based Scheduling and Resource Allocation in MU-MIMO-OFDMA-Enabled Wireless Networks
Restoring CFAR Validity for Single-Channel IoT Sensor Streams: A Monte Carlo Comparison of Five Detectors under Cortex-M0+ Constraints
How Far Back in Time a Digital Twin Reflects the State of the Physical Object: Age of Staleness
2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
Distributed Renaming with Subquadratic Bits via Scalable Committee Election
Early-Stabilizing Counting
Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method
ASSESSING THE STOCHASTIC PROPERTIES OF MODERN PSEUDO-RANDOM GENERATORS FOR PARALLEL COMPUTING
IoT and Massive Connectivity: Massive MIMO Optimization for IoT Connectivity in 5G and Beyond Networks
Fast Gossip-based Rumor Spreading using Small Messages
Analysis of wireless network access logs for a hierarchical characterization of user mobility
Multi-objective application placement in fog computing using graph neural network-based reinforcement learning
On-demand minimum cost benchmarking for intermediate dataset storage in scientific cloud workflow systems
Cost-Efficient Request Dispatching in Geo-distributed Cloud Gaming Infrastructure
Organising Committee
Online optimization for scheduling preemptable tasks on IaaS cloud systems
Message from Program Chairs
Best Papers from the 2002 International Parallel and Distributed Processing Symposium
Automatic Decomposition of Discretized Surfaces for Parallel Processing
Scheduling Multiple Workflows with Time Constraints onto Cloud Computing Resources
Byzantine Consensus in Directed Graphs with Message Authentication
MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces
ChunkFlow: Communication-Aware Chunked Prefetching for Layerwise Offloading in Distributed Diffusion Transformer Inference
Kairos: A Scalable Serving System for Physical AI
Communication Efficient Byzantine Agreement with Predictions
Comparing the Performance of Heterogeneous Conjugate Gradient and Cholesky Solvers on Various Hardware Using SYCL
PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
Swarm Network-as-a-Service (SNaaS)
Sustained Petaflop and Beyond: Can Parallel Computing Systems Meet The Challenges?
Author Index
Program Committee
Author Index
[Title page iii]
[Title page i]
Distributed Systems Basics
Table of Contents
A Game-Theoretic Approach to Multiobjective Job Scheduling in Cloud Computing Systems
Parallel and Distributed Systems
Parallel processing and distributed computing
2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
Effective integrated parallel distributed processing approach in optimized multi-cloud computing environment
Performance prediction and its use in parallel and distributed computing systems
Special Issue of the Journal of Parallel and Distributed Computing: Cloud Computing
Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks
Toward Communication-Efficient Space Data Centers: Bottlenecks, Architectures, and New Paradigms
Supervised Distributed Computing: Efficiency and Robustness under a Majority of Adversarial Workers
Embedded Made Easy -- Rethinking Embedded + Cloud Software Development (WIP)