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Researchers develop speedier network analysis for a range of computer hardware

Advance could boost recommendation algorithms and internet searches
Researchers develop advance that could boost recommendation algorithms and internet searches.
March 9, 2021
Graphs data structures that show relationships among objects are highly versatile. It s easy to imagine a graph depicting a social media network s web of connections.
But graphs are also used in programs as diverse as content recommendation (what to watch on Netflix?) and navigation (what s the quickest route to the beach?). As Massachusetts Institute of Technology researcher Ajay Brahmakshatriya summarizes, graphs are basically everywhere.
Brahmakshatriya has developed software to run graph applications more efficiently on a wide range of computer hardware. The software extends GraphIt, a state-of-the-art graph programming language, to run on graphics processing units (GPUs) hardware that processes many data streams in parallel. The advance could accelerate graph analysis, especial ....

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Researchers develop speedier network analysis for a range of computer hardware

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Graphs data structures that show the relationship among objects are highly versatile. It s easy to imagine a graph depicting a social media network s web of connections. But graphs are also used in programs as diverse as content recommendation (what to watch next on Netflix?) and navigation (what s the quickest route to the beach?). As Ajay Brahmakshatriya summarizes: graphs are basically everywhere.
Brahmakshatriya has developed software to more efficiently run graph applications on a wider range of computer hardware. The software extends GraphIt, a state-of-the-art graph programming language, to run on graphics processing units (GPUs), hardware that processes many data streams in parallel. The advance could accelerate graph analysis, especially for applications that benefit from a GPU s parallelism, such as recommendation algorithms. ....

Saman Amarasinghe , Changwan Hong , Ajay Brahmakshatriya , Daniel Ackerman , Artificial Intelligence Laboratory , National Science Foundation , Department Of Electrical Engineering , News Office , Us Department Of Energy , International Symposium On Code Generation , Adobe Research Shoaib Kamil , Defense Advanced Research Projects Agency , Applications Driving Architectures Center , Electrical Engineering , Computer Science , International Symposium , Code Generation , Professor Saman Amarasinghe , Career Development Assistant Professor , Software Technology Julian Shun , Yunming Zhang Phd , Adobe Research , Defense Advanced Research Projects , Mathematics Statistics , Algorithms Models , Technology Engineering Computer Science ,

Researchers develop speedier network analysis for a range of computer hardware

Researchers develop speedier network analysis for a range of computer hardware
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