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mental2008
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awesome-papers
Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and other interesting stuffs).
https://paper.lingyunyang.com/
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paper: update reading notes 2022-07-01
#97
mental2008
closed
2 years ago
0
paper: update reading notes 2022-06-30
#96
mental2008
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2 years ago
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refactor: fix the structure
#95
mental2008
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2 years ago
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refactor: reorganize the paper reading notes
#94
mental2008
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2 years ago
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refactor: reorganize the paper reading notes
#93
mental2008
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2 years ago
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refactor: reorganize the papers
#92
mental2008
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2 years ago
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doc: update README
#91
mental2008
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2 years ago
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NSDI '22 | CloudCluster: Unearthing the Functional Structure of a Cloud Service
#90
mental2008
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1 year ago
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NSDI '22 | Aquila: A unified, low-latency fabric for datacenter networks
#89
mental2008
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1 year ago
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NSDI '22 | Cocktail: A Multidimensional Optimization for Model Serving in Cloud
#88
mental2008
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1 year ago
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NSDI '22 | Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models
#87
mental2008
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1 year ago
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NSDI '22 | A Case for Task Sampling based Learning for Cluster Job Scheduling
#86
mental2008
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1 year ago
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NSDI '22 | Efficient Scheduling Policies for Microsecond-Scale Tasks
#85
mental2008
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1 year ago
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EuroSys '22 | Varuna: Scalable, Low-cost Training of Massive Deep Learning Models
#84
mental2008
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1 year ago
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EuroSys '22 | D3: A Dynamic Deadline-Driven Approach for Building Autonomous Vehicles
#83
mental2008
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1 year ago
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EuroSys '22 | Out-Of-Order BackProp: An Effective Scheduling Technique for Deep Learning
#82
mental2008
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1 year ago
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EuroSys '22 | OS Scheduling with Nest: Keeping Tasks Close Together on Warm Cores
#81
mental2008
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1 year ago
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EuroSys '22 | DeepRest: Deep Resource Estimation for Interactive Microservices
#80
mental2008
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1 year ago
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HPCA '22 | AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications
#79
mental2008
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1 year ago
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HPCA '22 | PIMCloud: QoS-Aware Resource Management of Latency-Critical Applications in Clouds with Processing-in-Memory
#78
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1 year ago
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HPCA '22 | ReTail: Opting for Learning Simplicity to Enable QoS-Aware Power Management in the Cloud
#77
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1 year ago
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ASPLOS '22 | Serverless Computing on Heterogeneous Computers
#76
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1 year ago
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ASPLOS '22 | FaaSFlow: Enable Efficient Workflow Execution for Function-as-a-Service
#75
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1 year ago
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ASPLOS '22 | INFless: A Native Serverless System for Low-latency, High-throughput Inference
#74
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1 year ago
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ASPLOS '22 | Astraea: Towards QoS-Aware and Resource-Efficient Multi-stage GPU Services
#73
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1 year ago
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ASPLOS '22 | Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads
#72
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1 year ago
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ASPLOS '22 | AStitch: Enabling A New Multi-Dimensional Optimization Space for Memory-Intensive ML Training and Inference on Modern SIMT Architectures
#71
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1 year ago
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ASPLOS '22 | A Full-stack Search Technique for Domain Optimized Deep Learning Accelerators
#70
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1 year ago
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ASPLOS '22 | VELTAIR: Towards High-Performance Multi-Tenant Deep Learning Services via Adaptive Compilation and Scheduling
#69
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1 year ago
0
arXiv '16 | Training Deep Nets with Sublinear Memory Cost
#68
mental2008
closed
2 years ago
1
SIGCOMM Computer Communication Review '21 | Data-driven Networking Research: models for academic collaboration with industry (a Google point of view)
#67
mental2008
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2 years ago
1
SOSP '21 | HeMem: Scalable Tiered Memory Management for Big Data Applications and Real NVM
#66
mental2008
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2 years ago
1
arXiv '21 | Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem
#65
qzweng
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1 year ago
0
arXiv '20 | Coswara - A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis
#64
mental2008
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2 years ago
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KDD '21 | Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
#63
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2 years ago
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arXiv '18 | Predicting the Computational Cost of Deep Learning Models
#62
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1 year ago
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SoCC '14 | Reservation-based Scheduling: If You’re Late Don’t Blame Us!
#61
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1 year ago
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OSDI '16 | Morpheus: Towards Automated SLOs for Enterprise Clusters
#60
qzweng
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1 year ago
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OSDI '20 | Unearthing inter-job dependencies for better cluster scheduling
#59
mental2008
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1 year ago
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SC '21 | MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers
#58
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1 year ago
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SC '21 | In-Depth Analyses of Unified Virtual Memory System for GPU Accelerated Computing
#57
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2 years ago
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SC '21 | Hybrid, Scalable, Trace-Driven Performance Modeling of GPGPUs
#56
mental2008
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2 years ago
1
SC '21 | Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference Using a Diverse Pool of Cloud Computing Instances
#55
mental2008
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1 year ago
0
SC '21 | Enable Simultaneous DNN Services Based on Deterministic Operator Overlap and Precise Latency Prediction
#54
mental2008
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1 year ago
0
SC '21 | Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
#53
qzweng
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1 year ago
0
HotOS '21 | Contextual Concurrency Control
#52
mental2008
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1 year ago
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SOSP '21 | ghOSt: Fast & Flexible User-Space Delegation of Linux Scheduling
#51
mental2008
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1 year ago
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SOSP '21 | Bidl: A High-throughput, Low-latency Permissioned Blockchain Framework for Datacenter Networks
#50
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1 year ago
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OSDI '20 | Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads
#49
mental2008
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1 year ago
0
EuroSys '18 | Medea: Scheduling of Long Running Applications in Shared Production Clusters
#48
mental2008
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1 year ago
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