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Data locality in high performance computing, big data, and converged systems: An analysis of the cutting edge and a future system architecture
Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …
societies. High-performance computing (HPC) provides the necessary computational power …
Designing effective inter-pixel information flow for natural image matting
We present a novel, purely affinity-based natural image matting algorithm. Our method relies
on carefully defined pixel-to-pixel connections that enable effective use of information …
on carefully defined pixel-to-pixel connections that enable effective use of information …
Hello ADIOS: the challenges and lessons of develo** leadership class I/O frameworks
Applications running on leadership platforms are more and more bottlenecked by storage
input/output (I/O). In an effort to combat the increasing disparity between I/O throughput and …
input/output (I/O). In an effort to combat the increasing disparity between I/O throughput and …
Smart: A mapreduce-like framework for in-situ scientific analytics
In-situ analytics has lately been shown to be an effective approach to reduce both I/O and
storage costs for scientific analytics. Develo** an efficient in-situ implementation, however …
storage costs for scientific analytics. Develo** an efficient in-situ implementation, however …
Scaling embedded in-situ indexing with deltaFS
Analysis of large-scale simulation output is a core element of scientific inquiry, but analysis
queries may experience significant I/O overhead when the data is not structured for efficient …
queries may experience significant I/O overhead when the data is not structured for efficient …
In-situ bitmaps generation and efficient data analysis based on bitmaps
Neither the memory capacity, memory access speeds, nor disk bandwidths are increasing at
the same rate as the computing power in current and upcoming parallel machines. This has …
the same rate as the computing power in current and upcoming parallel machines. This has …
Scalable in situ scientific data encoding for analytical query processing
The process of scientific data analysis in high-performance computing environments has
been evolving along with the advancement of computing capabilities. With the onset of …
been evolving along with the advancement of computing capabilities. With the onset of …
Saga: Array storage as a db with support for structural aggregations
In recent years, many Array DBMSs, including SciDB and RasDaMan have emerged to meet
the needs of data management applications where the natural structures are the arrays …
the needs of data management applications where the natural structures are the arrays …
Transparent in situ data transformations in adios
Though an abundance of novel" data transformation" technologies have been developed
(such as compression, level-of-detail, layout optimization, and indexing), there remains a …
(such as compression, level-of-detail, layout optimization, and indexing), there remains a …
Actionable threat intelligence for digital forensics readiness
Purpose The purpose of this paper is to formulate a novel model for enhancing the
effectiveness of existing digital forensic readiness (DFR) schemes by leveraging the …
effectiveness of existing digital forensic readiness (DFR) schemes by leveraging the …