Browsing by Keywords "Data locality"
Now showing items 1-6 of 6
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Code scheduling for optimizing parallelism and data locality
(Springer, 2010-08-09)As chip multiprocessors proliferate, programming support for these devices is likely to receive a lot of attention in the near future. Parallelism and data locality are two critical issues in a chip multiprocessor environment. ... -
Exploiting locality in sparse matrix-matrix multiplication on many-core rchitectures
(IEEE Computer Society, 2017)Exploiting spatial and temporal localities is investigated for efficient row-by-row parallelization of general sparse matrix-matrix multiplication (SpGEMM) operation of the form C=A,B on many-core architectures. Hypergraph ... -
Locality-aware and load-balanced static task scheduling for MapReduce
(Elsevier, 2018)Task scheduling for MapReduce jobs has been an active area of research with the objective of decreasing the amount of data transferred during the shuffle phase via exploiting data locality. In the literature, generally ... -
Partitioning models for scaling distributed graph computations
(Bilkent University, 2019-08)The focus of this thesis is intelligent partitioning models and methods for scaling the performance of parallel graph computations on distributed-memory systems. Distributed databases utilize graph partitioning to provide ... -
Scaling sparse matrix-matrix multiplication in the accumulo database
(Springer, 2020)We propose and implement a sparse matrix-matrix multiplication (SpGEMM) algorithm running on top of Accumulo’s iterator framework which enables high performance distributed parallelism. The proposed algorithm provides ... -
Spatiotemporal graph and hypergraph partitioning models for sparse matrix-vector multiplication on many-core architectures
(IEEE Computer Society, 2019)There exist graph/hypergraph partitioning-based row/column reordering methods for encoding either spatial or temporal locality for sparse matrix-vector multiplication (SpMV) operations. Spatial and temporal hypergraph ...
