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MATE-CG: A Map Reduce-Like Framework for Accelerating Data-Intensive Computations on Heterogeneous Clusters
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Radioastronomy Image Synthesis on the Cell/B.E.
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StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures
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A Skeletal Parallel Framework with Fusion Optimizer for GPGPU Programming
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A Proposal for User-Defined Reductions in OpenMP
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A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL
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Automated empirical optimizations of software and the ATLAS project
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The anatomy of a large-scale hypertextual Web search engine
inferredcites →https://doi.org/10.1109/ccgrid.2010.10openalex-snapshot
A Map-Reduce System with an Alternate API for Multi-core Environments
inferredcites →https://doi.org/10.1109/ccgrid.2011.18openalex-snapshot
Ex-MATE: Data Intensive Computing with Large Reduction Objects and Its Application to Graph Mining
inferredcites →https://doi.org/10.1109/cloudcom.2010.55openalex-snapshot
Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters
inferredcites →https://doi.org/10.1109/clustr.2009.5289201openalex-snapshot
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture
inferredcites →https://doi.org/10.1109/hipc.2011.6152724openalex-snapshot
A dynamic scheduling framework for emerging heterogeneous systems
inferredcites →https://doi.org/10.1109/hpca.2007.346181openalex-snapshot
Evaluating MapReduce for Multi-core and Multiprocessor Systems
inferredcites →https://doi.org/10.1109/icdm.2009.14openalex-snapshot
PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations
inferredcites →https://doi.org/10.1109/iiswc.2009.5306783openalex-snapshot
Phoenix rebirth: Scalable MapReduce on a large-scale shared-memory system
inferredcites →https://doi.org/10.1109/ipdps.2009.5161107openalex-snapshot
Implementing OpenMP on a high performance embedded multicore MPSoC
inferredcites →https://doi.org/10.1109/ipdps.2010.5470481openalex-snapshot
Improving numerical reproducibility and stability in large-scale numerical simulations on GPUs
inferredcites →https://doi.org/10.1109/ipdps.2011.102openalex-snapshot
Multi-GPU MapReduce on GPU Clusters
inferredcites →https://doi.org/10.1109/jproc.2004.840444openalex-snapshot
Is Search Really Necessary to Generate High-Performance BLAS?
inferredcites →https://doi.org/10.1109/sc.2008.5222004openalex-snapshot
Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures
inferredcites →https://doi.org/10.1109/sc.2010.36openalex-snapshot
OpenMPC: Extended OpenMP Programming and Tuning for GPUs
inferredcites →https://doi.org/10.1109/tvcg.2008.188openalex-snapshot
A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Linear algebra operators for GPU implementation of numerical algorithms
inferredcites →https://doi.org/10.1145/1531743.1531777openalex-snapshot
Evaluating multi-core platforms for HPC data-intensive kernels
inferredcites →https://doi.org/10.1145/1810085.1810106openalex-snapshot
Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations
inferredcites →https://doi.org/10.1145/1851476.1851479openalex-snapshot
Run-time optimizations for replicated dataflows on heterogeneous environments
inferredcites →https://doi.org/10.1145/882262.882363openalex-snapshot
Linear algebra operators for GPU implementation of numerical algorithms
inferredcites →https://doi.org/10.1162/089976699300016674openalex-snapshot
A Unifying Review of Linear Gaussian Models
inferredcites →https://doi.org/10.1184/r1/6604628openalex-snapshot
Data-Intensive Supercomputing: The Case for DISC
inferredcites →https://doi.org/10.21276/ijre.2018.5.5.4openalex-snapshot
MapReduce: Simplified Data Processing on Large Cluster
inferredcites →https://doi.org/10.2312/eggh/eggh07/097-106openalex-snapshot
Scan Primitives for GPU Computing
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0040openalex-snapshot
Map-Reduce for Machine Learning on Multicore
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework
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Workload Placement and Scheduling on Heterogeneous CPU-GPU Architectures
inferred← citeshttps://doi.org/10.1007/978-3-642-37401-2_56openalex-snapshot
S2MART: Smart Sql to Map-Reduce Translators
inferred← citeshttps://doi.org/10.1007/s12652-015-0292-9openalex-snapshot
Performance improvement of data mining in Weka through multi-core and GPU acceleration: opportunities and pitfalls
inferred← citeshttps://doi.org/10.1016/j.displa.2021.102112openalex-snapshot
Prediction of multicore CPU performance through parallel data mining on public datasets
inferred← citeshttps://doi.org/10.1016/j.future.2013.06.002openalex-snapshot
Scheduling concurrent applications on a cluster of CPU–GPU nodes
inferred← citeshttps://doi.org/10.1016/j.jpdc.2016.04.007openalex-snapshot
micMR: An efficient MapReduce framework for CPU–MIC heterogeneous architecture
inferred← citeshttps://doi.org/10.1016/j.procs.2014.05.402openalex-snapshot
Performance Improvement of Data Mining in Weka through GPU Acceleration
inferred← citeshttps://doi.org/10.1109/bigdata.2015.7363769openalex-snapshot
G-Storm: GPU-enabled high-throughput online data processing in Storm
inferred← citeshttps://doi.org/10.1109/ccgrid.2012.78openalex-snapshot
Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes
inferred← citeshttps://doi.org/10.1109/ccgrid.2013.56openalex-snapshot
Bi-Hadoop: Extending Hadoop to Improve Support for Binary-Input Applications
inferred← citeshttps://doi.org/10.1109/ccgrid.2016.20openalex-snapshot
Medusa: An Efficient Cloud Fault-Tolerant MapReduce
inferred← citeshttps://doi.org/10.1109/hpcsim.2015.7237070openalex-snapshot
Market-inspired dynamic resource allocation in many-core high performance computing systems
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WCET analysis of the shared data cache in integrated CPU-GPU architectures
inferred← citeshttps://doi.org/10.1109/iccd.2016.7753309openalex-snapshot
SPMario: Scale up MapReduce with I/O-Oriented Scheduling for the GPU
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Performance enhancement of Hadoop MapReduce framework for analyzing BigData
inferred← citeshttps://doi.org/10.1109/icpp.2016.69openalex-snapshot
GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data
inferred← citeshttps://doi.org/10.1109/pccc.2015.7410298openalex-snapshot
A customizable MapReduce framework for complex data-intensive workflows on GPUs
inferred← citeshttps://doi.org/10.1109/pdgc.2018.8745940openalex-snapshot
Performance Evaluation of Classification Algorithm in Weka using Parallel Performance Profiling and Computing Technique
inferred← citeshttps://doi.org/10.1109/tbdata.2016.2616116openalex-snapshot
GPU-Accelerated High-Throughput Online Stream Data Processing
inferred← citeshttps://doi.org/10.1109/tcc.2015.2415772openalex-snapshot
DyScale: A MapReduce Job Scheduler for Heterogeneous Multicore Processors
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Melia: A MapReduce Framework on OpenCL-Based FPGAs
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A Portable, High-Level Graph Analytics Framework Targeting Distributed, Heterogeneous Systems
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Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles
inferred← citeshttps://doi.org/10.1145/2788396openalex-snapshot
A Survey of CPU-GPU Heterogeneous Computing Techniques
inferred← citeshttps://doi.org/10.32628/cseit172568openalex-snapshot
Splitting and Grouping of Jobs in Map Reduction for Various Multicore Processors
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Various Multicore Processors with Splitting and Federation of Jobs In Map Reduction
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Creating a portable programming abstraction for wavefront patterns targeting HPC systems
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Extending the Scheduling Toolkit SEParAT to Support Hybrid Parallel Platforms
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