Publication date
April 2018
DOIAbstract
Modified dbFD function (Laliberté et al. 2014) to enable parallel processing over multiple datasets<br
Modified dbFD function (Laliberté et al. 2014) to enable parallel processing over multiple datasets<br
. Data-parallel languages, in particular HPF, provide a highlevel view of operators overs parallel d...
Description Functions to allow you to easily pass command-line arguments into R, and functions to ai...
GPU acceleration of compute-intensive applications has emerged as a new research frontier with pheno...
Multiprocessing rdfpy now computes radial distribution functions in parallel using multiprocessing f...
This work is aimed at extending a parallel computing framework for radial basis functions methods fo...
This dataset contains the artifact for our TACAS'20 article titled: Automated Verification of Parall...
Nowadays parallel object-relational DBMS are envisioned as the next great wave, but ther...
Nowadays parallel object-relational DBMS are envisioned as the next great wave but there is still a ...
In order to run tasks in a parallel and load-balanced fashion, existing scientific parallel applicat...
Many large-scale computational applications contain irregular data access patterns related to unstru...
Contains fulltext : mmubn000001_216875986.pdf (publisher's version ) (Open Access)...
In order to run tasks in a parallel and load-balanced fashion, existing scientific parallel applicat...
This paper presents a multidimensional schema, called the multidimensional range tree (MDR-tree), to...
Full support of parallelism in object-relational database systems (ORDBMSs) is desired. The parallel...
A thesis submitted to the University of London in partial fulfillment of the requirements of the deg...
. Data-parallel languages, in particular HPF, provide a highlevel view of operators overs parallel d...
Description Functions to allow you to easily pass command-line arguments into R, and functions to ai...
GPU acceleration of compute-intensive applications has emerged as a new research frontier with pheno...
Multiprocessing rdfpy now computes radial distribution functions in parallel using multiprocessing f...
This work is aimed at extending a parallel computing framework for radial basis functions methods fo...
This dataset contains the artifact for our TACAS'20 article titled: Automated Verification of Parall...
Nowadays parallel object-relational DBMS are envisioned as the next great wave, but ther...
Nowadays parallel object-relational DBMS are envisioned as the next great wave but there is still a ...
In order to run tasks in a parallel and load-balanced fashion, existing scientific parallel applicat...
Many large-scale computational applications contain irregular data access patterns related to unstru...
Contains fulltext : mmubn000001_216875986.pdf (publisher's version ) (Open Access)...
In order to run tasks in a parallel and load-balanced fashion, existing scientific parallel applicat...
This paper presents a multidimensional schema, called the multidimensional range tree (MDR-tree), to...
Full support of parallelism in object-relational database systems (ORDBMSs) is desired. The parallel...
A thesis submitted to the University of London in partial fulfillment of the requirements of the deg...
. Data-parallel languages, in particular HPF, provide a highlevel view of operators overs parallel d...
Description Functions to allow you to easily pass command-line arguments into R, and functions to ai...
GPU acceleration of compute-intensive applications has emerged as a new research frontier with pheno...
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