Piccolo: Building Fast, Distributed Programs with Partitioned Tables

No abstract is available for this paper.

• Publication year

  2010

• Venue

  USENIX Symposium on Operating Systems Design and Implementation

• Publication date

  2010-10-04

• Fields of study

  Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• MapReduce

  2020cited by this paper
• How to Make a Multiprocessor Computer That Correctly Executes Multiprocess Programs

  2016cited by this paper
• Energy-efficient Data-intensive Computing with a Fast Array of Wimpy Nodes

  2011cited by this paper
• The case for RAMClouds: scalable high-performance storage entirely in DRAM

  2010cited by this paper
• Pregel: a system for large-scale graph processing

  2010cited by this paper
• Spark: Cluster Computing with Working Sets

  2010cited by this paper
• FlumeJava: easy, efficient data-parallel pipelines

  2010cited by this paper
• Formal verification of practical MPI programs

  2009cited by this paper
• The OpenCL specification

  2009cited by this paper
• Hive - A Warehousing Solution Over a Map-Reduce Framework

  2009cited by this paper
• Quincy: fair scheduling for distributed computing clusters

  2009cited by this paper
• IRLbot: Scaling to 6 billion pages and beyond

  2009cited by this paper
• Distributed aggregation for data-parallel computing: interfaces and implementations

  2009cited by this paper
• FAWN: a fast array of wimpy nodes

  2009cited by this paper
• Pig latin: a not-so-foreign language for data processing

  2008cited by this paper
• IRLbot: scaling to 6 billion pages and beyond

  2008cited by this paper
• DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language

  2008cited by this paper
• MapReduce: simplified data processing on large clusters

  2008influential reference
• Proactive fault tolerance for HPC with Xen virtualization

  2007cited by this paper
• Dryad: distributed data-parallel programs from sequential building blocks

  2007influential reference
• Intel threading building blocks - outfitting C++ for multi-core processor parallelism

  2007cited by this paper
• Programming Distributed Memory Sytems Using OpenMP

  2007cited by this paper
• Dynamo: amazon's highly available key-value store

  2007cited by this paper
• Pattern Recognition and Machine Learning

  2006cited by this paper
• Optimization of MPI collective communication on BlueGene/L systems

  2005cited by this paper
• Interpreting the data: Parallel analysis with Sawzall

  2005cited by this paper
• Brook for GPUs: Stream Computing on Graphics Hardware

  2004cited by this paper
• The webgraph framework I: compression techniques

  2004cited by this paper
• LiveJournal's Backend and memcached: Past, Present, and Future

  2004cited by this paper
• Automated scientific software scripting with SWIG

  2003cited by this paper
• UPC Language Specifications V1.1.1

  2003cited by this paper
• Chord: a scalable peer-to-peer lookup protocol for internet applications

  2003cited by this paper
• MPICH-V: Toward a Scalable Fault Tolerant MPI for Volatile Nodes

  2002cited by this paper
• StreamIt: A Language for Streaming Applications

  2002cited by this paper
• Pastry: Scalable, distributed object location and routing for large-scale peer-to-

  2001cited by this paper
• Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems

  2001cited by this paper
• Chord: A scalable peer-to-peer lookup service for internet applications

  2001cited by this paper
• Scalable, distributed data structures for internet service construction

  2000cited by this paper
• Distributed data structures for internet service construction

  2000cited by this paper
• JavaSpaces¿ Principles, Patterns, and Practice

  1999cited by this paper
• Snapshots : Determining Global States of Distributed Systems

  1999cited by this paper
• OpenMP: an industry standard API for shared-memory programming

  1998cited by this paper
• Titanium: A High-performance Java Dialect

  1998cited by this paper
• The Anatomy of a Large-Scale Hypertextual Web Search Engine

  1998cited by this paper
• Co-array Fortran for parallel programming

  1998cited by this paper
• A survey of stream processing

  1997cited by this paper
• High-performance all-software distributed shared memory

  1996cited by this paper
• Cilk: an efficient multithreaded runtime system

  1995cited by this paper
• CRL: high-performance all-software distributed shared memory

  1995cited by this paper
• Working Sets, Cache Sizes, And Node Granularity Issues For Large-scale Multiprocessors

  1993cited by this paper
• The Midway distributed shared memory system

  1993cited by this paper
• SPLASH: Stanford parallel applications for shared-memory

  1992cited by this paper
• Lazy Release Consistency for Software Distributed Shared Memory

  1992cited by this paper
• The Nas Parallel Benchmarks

  1991cited by this paper
• PVM: A Framework for Parallel Distributed Computing

  1990cited by this paper
• Memory consistency and event ordering in scalable shared-memory multiprocessors

  1990cited by this paper
• A bridging model for parallel computation

  1990cited by this paper
• Linda in context

  1989cited by this paper
• Memory coherence in shared virtual memory systems

  1986cited by this paper

• A Review on Apache Spark

  2024cites this paper
• Turbo: Efficient Communication Framework for Large-scale Data Processing Cluster

  2024cites this paper
• The Analysis of Distributed Computing Systems with Machine Learning

  2023cites this paper
• Toward High-Performance Delta-Based Iterative Processing with a Group-Based Approach

  2022cites this paper
• Optimizing Data-intensive Systems in Disaggregated Data Centers with TELEPORT

  2022cites this paper
• Jiffy: elastic far-memory for stateful serverless analytics

  2022cites this paper
• A Fault-Tolerant Distributed Framework for Asynchronous Iterative Computations

  2021cites this paper
• Machine Learning Parallelism Could Be Adaptive, Composable and Automated

  2021cites this paper
• Sample Contribution Pattern Based Big Data Mining Optimization Algorithms

  2021cites this paper
• Trigger-Based Incremental Data Processing with Unified Sync and Async Model

  2021cites this paper
• Multi‐node Expectation–Maximization algorithm for finite mixture models

  2021cites this paper
• Application and trends in information management system using artificial intelligence

  2021cites this paper
• Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access

  2021cites this paper
• MIND: In-Network Memory Management for Disaggregated Data Centers

  2021cites this paper
• LogECMem: Coupling Erasure-Coded In-Memory Key-Value Stores with Parity Logging

  2021cites this paper
• Hierarchical Orchestration of Disaggregated Memory

  2020cites this paper
• Large-scale graph processing systems: a survey

  2020cites this paper
• Communication-Efficient Distributed Deep Learning: A Comprehensive Survey

  2020cites this paper
• Communication-Efficient Distributed Deep Learning: A Comprehensive Survey

  2020cites this paper
• Achieving Load-Balanced, Redundancy-Free Cluster Caching with Selective Partition

  2020cites this paper
• Bigflow: A General Optimization Layer for Distributed Computing Frameworks

  2020cites this paper
• Multi-Node EM Algorithm for Finite Mixture Models

  2020cites this paper
• Distributed Graph Computation Meets Machine Learning

  2020cites this paper
• PLASMA: programmable elasticity for stateful cloud computing applications

  2020cites this paper
• Sharing and Caring of Data at the Edge

  2020cites this paper
• Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads

  2020cites this paper
• Balancing Fairness and Efficiency for Cache Sharing in Semi-external Memory System

  2020cites this paper
• Disaggregation and the Application

  2019cites this paper
• Phoenix: A Substrate for Resilient Distributed Graph Analytics

  2019cites this paper
• Yugong: Geo-Distributed Data and Job Placement at Scale

  2019cites this paper
• Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics

  2019influential citation
• R2P2: Making RPCs first-class datacenter citizens

  2019cites this paper
• Deca

  2019cites this paper
• Efficient Clustering Techniques on Hadoop and Spark

  2019cites this paper
• MemepiC: Towards a Unified In-Memory Big Data Management System

  2019influential citation
• Parallel Heuristics for Balanced Graph Partitioning Based on Richness of Implicit Knowledge

  2019cites this paper
• Ring: Real-Time Emerging Anomaly Monitoring System Over Text Streams

  2019cites this paper
• Towards Practical Serverless Analytics

  2019cites this paper
• DPI: The Data Processing Interface for Modern Networks

  2019cites this paper
• Towards Dependency-Aware Cache Management for Data Analytics Applications

  2019cites this paper
• Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY

  2019cites this paper
• SHHC: A Scalable Hybrid Hash Cluster for Cloud Backup Services in Data Centers

  2019cites this paper
• SP-Cache: Load-Balanced, Redundancy-Free Cluster Caching with Selective Partition

  2018cites this paper
• Alluxio: A Virtual Distributed File System

  2018cites this paper
• Decoupling the control plane from program control flow for flexibility and performance in cloud computing

  2018cites this paper
• A Fine-Grained Stateful Data Analytics Method Based on Resilient State Table

  2018cites this paper
• GStar: an efficient framework for answering top-k star queries on billion-node knowledge graphs

  2018influential citation
• Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling

  2018cites this paper
• MLtuner: System Support for Automatic Machine Learning Tuning

  2018cites this paper
• STEP : A Distributed Multi-threading Framework Towards Efficient Data Analytics

  2018cites this paper
• Scalable Graph Processing Frameworks

  2018influential citation
• Replication-Based Fault-Tolerance for Large-Scale Graph Processing

  2018cites this paper
• Deca: A Garbage Collection Optimizer for In-Memory Data Processing

  2018cites this paper
• Cost-efficient resource provisioning for large-scale graph processing systems in cloud computing environments

  2018influential citation
• Enabling Global Big Data Computations

  2018cites this paper
• Reference-distance Eviction and Prefetching for Cache Management in Spark

  2018cites this paper
• IncPregel: an incremental graph parallel computation model

  2018cites this paper
• Energy Efficient algorithm of Map Reduce for Big Data Applications

  2018cites this paper
• On the effects of allocation strategies for exascale computing systems with distributed storage and unified interconnects

  2018cites this paper
• Efficient Runtime Support for a Partitioned Global Logical Address Space

  2018cites this paper
• EDAWS: A distributed framework with efficient data analytics workspace towards discriminative services for critical infrastructures

  2018cites this paper
• An effective framework for asynchronous incremental graph processing

  2018cites this paper
• SHHC: A Scalable Hybrid Hash Cluster for Cloud Backup Services in Data Centers

  2018cites this paper
• SVE: Distributed Video Processing at Facebook Scale

  2017cites this paper
• HotGraph: Efficient Asynchronous Processing for Real-World Graphs

  2017cites this paper
• SAE: Toward Efficient Cloud Data Analysis Service for Large-Scale Social Networks

  2017cites this paper
• On the Effects of Data-Aware Allocation on Fully Distributed Storage Systems for Exascale

  2017cites this paper
• A Transactional Model for Parallel Programming of Graph Applications on Computing Clusters

  2017cites this paper
• GraphSteal: Dynamic Re-Partitioning for Efficient Graph Processing in Heterogeneous Clusters

  2017cites this paper
• An algebra for distributed Big Data analytics

  2017cites this paper
• Graph Computation for Machine Learning

  2017cites this paper
• LERC: Coordinated Cache Management for Data-Parallel Systems

  2017cites this paper
• LRC: Dependency-aware cache management for data analytics clusters

  2017cites this paper
• Performance prediction of parallel computing models to analyze cloud-based big data applications

  2017cites this paper
• CoRAL: Confined Recovery in Distributed Asynchronous Graph Processing

  2017cites this paper
• NG2C: Pretenuring N-Generational GC for HotSpot Big Data Applications

  2017cites this paper
• Efficient Memory Disaggregation with Infiniswap

  2017cites this paper
• Occupy the cloud: distributed computing for the 99%

  2017cites this paper
• Technical report on techniques to expose and exploit data locality

  2017cites this paper
• Efficient Big Data Processing on Large-Scale Shared Platforms: Managing I/Os and Failures. (Sur l'efficacité des traitements Big Data sur les plateformes partagées à grande échelle: gestion des entrées-sorties et des pannes)

  2017cites this paper
• MatrixMap: Programming abstraction and implementation of matrix computation for big data analytics

  2017cites this paper
• Tux2: Distributed Graph Computation for Machine Learning

  2017cites this paper
• Oseba: Optimization for Selective Bulk Analysis in Big Data Processing

  2017cites this paper
• iiHadoop: an asynchronous distributed framework for incremental iterative computations

  2017cites this paper
• Querying Web-Scale Knowledge Graphs Through Effective Pruning of Search Space

  2017influential citation
• Literature survey on existing analytical schemes to optimize the mining results using incremental map reduce

  2017cites this paper
• Online data deduplication for in-memory big-data analytic systems

  2017cites this paper
• NG2C: pretenuring garbage collection with dynamic generations for HotSpot big data applications

  2017cites this paper
• A RST-based stateful data analytics within spark

  2017influential citation
• Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms

  2017cites this paper
• Exploiting Asynchrony for Performance and Fault Tolerance in Distributed Graph Processing

  2017cites this paper
• Geo-distribution of actor-based services

  2017cites this paper
• Optimizing Parallelism of Big Data Analytics at Distributed Computing System

  2017cites this paper
• Achieving Optimal Inter-Node Communication in Graph Partitioning Using Random Selection and Breadth-First Search

  2016cites this paper
• STRADS: a distributed framework for scheduled model parallel machine learning

  2016cites this paper
• A Survey on Data-Centric and Data-Aware Techniques for Large Scale Infrastructures

  2016cites this paper
• ASAP: Asynchronous Approximate Data-Parallel Computation

  2016influential citation
• Ako: Decentralised Deep Learning with Partial Gradient Exchange

  2016cites this paper
• GraphHP: A Hybrid Platform for Iterative Graph Processing

  2016cites this paper
• ISODAC: A high performance solution for indexing and searching heterogeneous data

  2016cites this paper