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• 2021-08-10 A TRANSACTIONAL PERSPECTIVE ON EXECUTE-ORDER-VALIDATE BLOCKCHAINS
• 2021-10-09 distributed system model
• 2021-10-11 [OSDI-2012] Spanner
• 2021-10-14 facebook/RocksDB
• 2021-10-18 Load Balance
• 2021-10-18 Load balancing and proxying
• 2021-10-22 A High-Speed Load-Balancer Design with Guaranteed Per-Connection-Consistency
• 2021-10-22 [NSDI-2020] High-Speed Load-Balancer
• 2021-10-24 [NSDI-2020] Calendar Queues
• 2021-12-06 [VLDB-2020] Privacy-Preserving Vertical Federated Learning for Tree-based Models
• 2021-12-18 [OSDI-2020] Enabling SQL-based Training Data Debugging for Federated Learning
• 2021-12-20 [ICLR-2022] NASI Label- and Data-agnostic Neural Architecture Search at Initialization
• 2021-12-29 [OSDI-2020] Building Scalable and Flexible Cluster Managers Using Declarative Programming
• 2022-01-07 [OSDI-2020] Microsecond Consensus for Microsecond Applications
• 2022-01-12 [OSDI-2020] PipeSwitch Fast Pipelined Context Switching for Deep Learning Applications
• 2022-01-15 [distributed-system] Time, Clocks, and the Ordering of Events in a Distributed System
• 2022-01-15 [OSDI-2021] A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters
• 2022-01-17 [distributed-system] Distributed Snapshots Determining Global States of Distributed Systems
• 2022-01-19 [distributed-system] The Role of Distributed State
• 2022-01-22 [arXiv-2022] AI Technical Considerations Data Storage, Cloud usage and AI Pipeline
• 2022-01-23 [JMLR-2019] Neural Architecture Search A Survey
• 2022-01-28 [distributed-system][SIGOPS-2010] The design of a practical system for fault-tolerant virtual machines
• 2022-02-03 [ICLR-2020] NAS-BENCH-201 EXTENDING THE SCOPE OF REPRODUCIBLE NEURAL ARCHITECTURE SEARCH
• 2022-02-05 [arXiv-2022] Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
• 2022-02-09 [distributed-system][OSDI-2004] Chain Replication for Supporting High Throughput and Availability
• 2022-02-22 [VLDB-2020] Spitz A Verifiable Database System
• 2022-02-22 Spitz A Verifiable Database System
• 2022-02-23 [ICDE-2020] Cool a COhort OnLine analytical processing system
• 2022-02-24 [distributed-system] paxos-simple
• 2022-02-25 [SIGSAC-2015] IntegriDB Verifiable SQL for Outsourced Databases
• 2022-03-02 [ATC-2021][Best Paper] INFaaS Automated Model-Less Inference Serving
• 2022-03-03 [distributed-system] Paxos Made Moderately Complex
• 2022-03-02 INFaaS Automated Model-less Inference Serving
• 2022-04-18 [OSDI-2020] Retiarii A Deep Learning Exploratory-Training Framework
• 2022-04-27 [ICLR-2019] DARTS DIFFERENTIABLE ARCHITECTURE SEARCH
• 2022-04-28 [CVPR-2018] Learning Transferable Architectures for Scalable Image Recognition
• 2022-04-29 [ECCV-2018] Progressive Neural Architecture Search
• 2022-04-30 [ICML-2018] Efficient Neural Architecture Search via Parameter Sharing
• 2022-05-01 [ICDE-2019] ServeDB Secure, Verifiable, and Efficient Range Queries on Outsourced Database
• 2022-05-02 [PODS-2009] ZooKeeper Wait-free coordination for Internet-scale systems
• 2022-05-03 [ICLR-2022] NAS-BENCH-SUITE NAS EVALUATION IS (NOW) SURPRISINGLY EASY
• 2022-05-06 [SIGMOD-2021] Towards Demystifying Serverless Machine Learning Training
• 2022-05-06 [MLSys-2021] MODULARNAS TOWARDS MODULARIZED AND REUSABLE NEURAL ARCHITECTURE SEARCH
• 2022-05-08 [WWW-2022][BestPaper] PaSca a Graph Neural Architecture Search System under the Scalable Paradigm
• 2022-05-09 [Distill] A Gentle Introduction to Graph Neural Networks
• 2022-05-10 [arxiv] Graph neural networks A review of methods and applications
• 2022-05-11 [InterSpeech-2019] Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale
• 2022-05-11 [KDD-2017] Google Vizier A Service for Black-Box Optimization
• 2022-05-12 [TPAMI-2021] Auto-Pytorch Multi-Fidelity MetaLearning for Efficient and Robust AutoDL
• 2022-05-14 [NIPS-2012] Practical Bayesian Optimization of Machine Learning Algorithms
• 2022-05-15 [ICLR-2017] HYPERBAND BANDIT-BASED CONFIGURATION EVALUATION FOR HYPERPARAMETER OPTIMIZATION
• 2022-05-17 [ICML-2018] BOHB Robust and Efficient Hyperparameter Optimization at Scale
• 2022-05-26 [EuroSys-2015] Large-scale cluster management at Google with Borg
• 2022-05-29 [ICML-2019] NAS-Bench-101 Towards Reproducible Neural Architecture Search
• 2022-05-29 [ICLR-2020] NAS-BENCH-201 EXTENDING THE SCOPE OF REPRODUCIBLE NEURAL ARCHITECTURE SEARCH
• 2022-05-30 [distributed-system] The Google File System
• 2022-06-03 [distributed-system] The Google File System
• 2022-06-10 [SIGMOD-2021] Towards Demystifying Serverless Machine Learning Training
• 2022-06-10 [VLDB-2016] Cohort Query Processing
• 2022-06-11 [ATC-2018] SAND Towards High-Performance Serverless Computing
• 2022-06-12 [CIDR-2019] Serverless Computing One Step Forward Two Steps Back
• 2022-06-13 [ATC-2021] Faastlane Accelerating Function-as-a-Service Workflows
• 2022-06-14 [blog] Knative Serving overview
• 2022-06-15 HNAS
• 2022-06-17 [VLDB-2010] Dremel Interactive Analysis of WebScale Datasets
• 2022-06-17 [blob] Dremel made simple with Parquet
• 2022-06-24 [VLDB-2020] Cerebro A Data System for Optimized Deep Learning Model Selection
• 2022-06-25 [NIPS-2019] GPipe Easy Scaling with Micro-Batch Pipeline Parallelism
• 2022-06-28 [MLSYS-2022] HYDROZOA DYNAMIC HYBRID-PARALLEL DNN TRAINING ON SERVERLESS CONTAINERS
• 2022-07-03 [ICLR-2020] ZERO-COST PROXIES FOR LIGHTWEIGHT NAS
• 2022-07-04 [ICML-2021] KNAS Green Neural Architecture Search
• 2022-07-05 [ICLR-2021] NEURAL ARCHITECTURE SEARCH ON IMAGENET IN FOUR GPU HOURs A THEORETICALLY INSPIRED PERSPECTIVE
• 2022-08-01 [CVPR-2021] AttentiveNAS Improving Neural Architecture Search via Attentive Sampling
• 2022-08-03 [ASPLOS-2022] NASPipe High Performance and Reproducible Pipeline Parallel Supernet Training via Causal Synchronous Parallelism
• 2022-08-23 [NIPS-2021] How Powerful are Performance Predictors in Neural Architecture Search
• 2022-08-24 [NIPS-2021] Neural Architecture Search A Survey
• 2022-08-25 [re-read] Practical Byzantine Fault Tolerance
• 2022-08-26 [summary] Byzantine Consensus and Application
• 2022-09-20 [AFT-2020] Streamlet Textbook Streamlined Blockchains
• 2022-10-18 [OSDI-2021] Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical Processing
• 2022-10-20 [SIGMOD-2022] ByteHTAP ByteDance HTAP System with High Data Freshness and Strong Data Consistency
• 2022-10-21 [VLDB-2020] TiDB a Raft-based HTAP database
• 2022-10-23 [VLDB-2022] Operon An Encrypted Database for Ownership-Preserving
• 2022-10-24 [SIGMOD-2020] Azure SQL Database Always Encrypted
• 2022-10-25 [Arxiv] Parallel Sparse Decomposition on GPU Platform
• 2022-10-25 [POST] Intel SGX post
• 2022-11-05 [OSDI-2021] Dorylus Affordable, Scalable and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
• 2022-11-06 [NSDI-2023] Bamboo Making Preemptible Instances Resilient for Affordable Training of Large DNNs
• 2022-11-07 [SOSP-2019] PipeDream Generalized Pipeline Parallelism for DNN Training.
• 2022-11-08 [ICML-2020] Memory Efficient Pipeline-Parallel DNN Training.
• 2022-11-09 [summary] Summary of the model parallelism-based training and optimization
• 2022-11-10 [ASPLOS-2021] Neural Architecture Search as Program Transformation Exploration
• 2022-11-15 [VLDB-2020] LedgerDB A Centralized Ledger Database for Universal Audit and Verification
• 2022-11-16 Byzantine Agreement Made Trivial - Silvio Micali
• 2022-11-17 [SOSP-2017] Algorand Scaling Byzantine Agreements for Cryptocurrencies
• 2022-11-18 [SIGMOD-2017-tutorial] Hybrid Transactional Analytical Processing A Survey
• 2022-11-21 [ATC-2022] TETRIS Memory efficient Serverless Inference through Tensor Sharing
• 2022-11-22 [VLDB-2022] Serving Deep Learning Models with Deduplication from Relational Databases
• 2022-11-24 [ATC-2019] MArk Exploiting Cloud Services for Cost-Effective and SLO-Aware Machine Learning
• 2022-12-30 Graph Masked Autoencoder Enhanced Predictor for Neural Architecture SearchInference Serving
• 2023-02-16 PostCENN PostgreSQL with Machine Learning Models for Cardinality Estimation
• 2023-02-17 Machine Learning for Databases
• 2023-02-21 MLbase A Distributed Machine-learning System
• 2023-02-24 End-to-end Optimization of MachMachine Learning Prediction Queries
• 2023-03-20 Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
• 2023-05-01 Amazon DynamoDB A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service
• 2023-05-25 C-Store A Column-oriented DBMS
• 2023-05-28 Overview of SciDB
• 2023-07-10 PostgresqlML
• 2023-09-18 Atomic Cross-Chain Swaps
• 2023-10-12 synchronous Data Dissemination and its Applications
• 2023-11-13 Revisiting Deep Learning Models for Tabular Data
• 2023-12-01 Gemini (OpenAI)
• 2023-12-11 Learned Cardinality Estimation for Similarity Queries
• 2023-12-20 Robust Query-Driven Cardinality Estimation under Changing Workloads
• 2024-01-02 Kepler Robust Learning for Faster Parametric Query Optimization
• 2024-02-14 QO-Insight Inspecting Steered Query Optimizers
• 2024-02-15 Neo A Learned Query Optimizer
• 2024-03-11 TRUSTWORTHY LLMS A SURVEY AND GUIDELINE FOR EVALUATING LARGE LANGUAGE MODELS’ ALIGNMENT
• 2024-03-14 Looking Ahead Makes Query Plans Robust
• 2024-03-14 A Learned Query Rewrite System using Monte Carlo Tree Search
• 2024-03-18 Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection
• 2024-03-18 Query Performance Prediction for Concurrent Queries using Graph Embedding
• 2024-03-27 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning
• 2024-05-14 ALECE An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads (Extended)
• 2024-05-20 TABPFN A TRANSFORMER THAT SOLVES SMALL TABULAR CLASSIFICATION PROBLEMS IN A SECOND