On the public citation graph
Mimir: Memory-Efficient and Scalable MapReduce for Large Supercomputing Systems
0 signed · 47 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-03770-2_30openalex-snapshot
Towards Efficient MapReduce Using MPI
inferredcites →https://doi.org/10.1016/j.compbiomed.2012.05.001openalex-snapshot
A scalable and accurate method for classifying protein–ligand binding geometries using a MapReduce approach
inferredcites →https://doi.org/10.1016/j.parco.2011.02.004openalex-snapshot
MapReduce in MPI for Large-scale graph algorithms
inferredcites →https://doi.org/10.1016/j.parco.2013.08.010openalex-snapshot
MRO-MPI: MapReduce overlapping using MPI and an optimized data exchange policy
inferredcites →https://doi.org/10.1109/bigdata.2015.7363759openalex-snapshot
PortHadoop: Support direct HPC data processing in Hadoop
inferredcites →https://doi.org/10.1109/cluster.2013.6702663openalex-snapshot
K MapReduce: A scalable tool for data-processing and search/ensemble applications on large-scale supercomputers
inferredcites →https://doi.org/10.1109/cse.2013.28openalex-snapshot
On Efficiently Capturing Scientific Properties in Distributed Big Data without Moving the Data: A Case Study in Distributed Structural Biology Using MapReduce
inferredcites →https://doi.org/10.1109/hoti.2014.15openalex-snapshot
Accelerating Spark with RDMA for Big Data Processing: Early Experiences
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.2011.180openalex-snapshot
Parallelizing BLAST and SOM Algorithms with MapReduce-MPI Library
inferredcites →https://doi.org/10.1109/ipdps.2014.87openalex-snapshot
Characterization and Optimization of Memory-Resident MapReduce on HPC Systems
inferredcites →https://doi.org/10.1109/ipdps.2014.90openalex-snapshot
DataMPI: Extending MPI to Hadoop-Like Big Data Computing
inferredcites →https://doi.org/10.1109/ipdps.2015.83openalex-snapshot
High-Performance Design of YARN MapReduce on Modern HPC Clusters with Lustre and RDMA
inferredcites →https://doi.org/10.1109/tpds.2014.2365784openalex-snapshot
MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors
inferredcites →https://doi.org/10.1145/2807591.2807617openalex-snapshot
Fault tolerant MapReduce-MPI for HPC clusters
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-05677-3_18openalex-snapshot
Mimir+: An Optimized Framework of MapReduce on Heterogeneous High-Performance Computing System
inferred← citeshttps://doi.org/10.1007/978-3-319-94301-5_28openalex-snapshot
K-mer Counting for Genomic Big Data
inferred← citeshttps://doi.org/10.1007/s12539-019-00348-5openalex-snapshot
Counting Kmers for Biological Sequences at Large Scale
inferred← citeshttps://doi.org/10.1098/rsta.2019.0063openalex-snapshot
A survey of algorithms for transforming molecular dynamics data into metadata for in situ analytics based on machine learning methods
inferred← citeshttps://doi.org/10.1109/access.2019.2949836openalex-snapshot
Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY
inferred← citeshttps://doi.org/10.1109/access.2025.3547623openalex-snapshot
Accelerating Distributed Repartition Joins on Skewed Datasets via Patch-Based Shuffling
inferred← citeshttps://doi.org/10.1109/bdcat.2018.00010openalex-snapshot
Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622088openalex-snapshot
Skew-Aware Collective Communication for MapReduce Shuffling
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378039openalex-snapshot
Connecting MapReduce Computations to Realistic Machine Models
inferred← citeshttps://doi.org/10.1109/comst.2021.3094993openalex-snapshot
Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions
inferred← citeshttps://doi.org/10.1109/hipc50609.2020.00038openalex-snapshot
Exposing data locality in HPC-based systems by using the HDFS backend
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2018.00153openalex-snapshot
Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks
inferred← citeshttps://doi.org/10.1109/icpads.2017.00033openalex-snapshot
Bloomfish: A Highly Scalable Distributed K-mer Counting Framework
inferred← citeshttps://doi.org/10.1109/padsw.2018.8644595openalex-snapshot
On the Power of Combiner Optimizations in MapReduce Over MPI Workflows
inferred← citeshttps://doi.org/10.1109/tc.2018.2839719openalex-snapshot
FlinkCL: An OpenCL-Based In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data
inferred← citeshttps://doi.org/10.1109/tpds.2019.2932066openalex-snapshot
Memory-Efficient and Skew-Tolerant MapReduce Over MPI for Supercomputing Systems
inferred← citeshttps://doi.org/10.1109/tsc.2025.3562342openalex-snapshot
Towards Hybrid Architectures for Big Data Analytics: Insights From Spark-MPI Integration
inferred← citeshttps://doi.org/10.1145/3210563.3210568openalex-snapshot
OMR: out-of-core MapReduce for large data sets
inferred← citeshttps://doi.org/10.1145/3299706.3210568openalex-snapshot
OMR: out-of-core MapReduce for large data sets
inferred← citeshttps://doi.org/10.1145/3543377.3543389openalex-snapshot
Quill: A Memory Efficient k-mer Counting and k-mer Querying Tool for Commodity Clusters
inferred← citeshttps://doi.org/10.1177/1094342020913628openalex-snapshot
Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources
inferred← citeshttps://doi.org/10.1515/comp-2022-0246openalex-snapshot
An alternative C++-based HPC system for Hadoop MapReduce
inferred← citeshttps://doi.org/10.1587/transinf.2019pap0019openalex-snapshot
Skew-Aware Collective Communication for MapReduce Shuffling
inferred← citeshttps://doi.org/10.3233/apc200053openalex-snapshot
Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI
inferred← citeshttps://doi.org/10.48550/arxiv.1903.11694openalex-snapshot
Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures
inferred← citeshttps://doi.org/10.48550/arxiv.2005.07600openalex-snapshot
An Alternative C++ based HPC system for Hadoop MapReduce
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.