In the era of big data, the graph models are becoming very popular data models as they can naturally represent many real world problems. Over the past several years, the efforts to accelerate graph computing on supercomputing systems have increased. Based on the speaker's research experiences with real customers over the past 2 years, he will present from an industrial point of view the next-generation graph computing. The speaker will identify what kind of research themes would be demanded and what kind of software ecosystems should be developed in our community
This presentation was made by Steven Skiena and Xingzhi Guo, CUNY Stonybrook. The presentation’s tit...
Gartner predicts that data and analytics innovations fueled by graph technology will increase 7x by ...
This report documents the program and the outcomes of Dagstuhl Seminar 14462 "Systems and Algorithms...
In the era of big data, the graph models are becoming very popular data models as they can naturally...
In the Big Data era, graph processing has been widely used to represent complex system structure, ca...
Graphs are very important parts of Big Data and widely used for modelling complex structured data wi...
Since 2006, we have been experiencing two very important developments in computing. One is that trem...
Graphs are, by nature, "unifying abstractions" that can leverage interconnectedness to represent, ex...
Presented on September 6, 2016 from 1:00 p.m.-2:30 p.m. at the Klaus Advanced Computing Building, Ro...
After vivid discussions led by the emergence of the buzzword “Big Data”, it seems that industry and ...
IEEE Software Editor-in-Chief Forrest Shull discusses the importance of building reliable systems to...
Building on foundational technologies such as many-core systems, non-volatile memories and photoni...
These slides support the oral presentations of Gordon Springer and Prasad Calyam delivered at Cyberi...
Presented on April 16, 2019 at 3:00 p.m. in the Jesse W. Mason Building, Room 2117.Oded Green is a S...
"講演者所属: Wichita State University, Kansas, USA講演日: 2020年1月14日 講演場所: エーアイ大講義室(L1)The talk starts with...
This presentation was made by Steven Skiena and Xingzhi Guo, CUNY Stonybrook. The presentation’s tit...
Gartner predicts that data and analytics innovations fueled by graph technology will increase 7x by ...
This report documents the program and the outcomes of Dagstuhl Seminar 14462 "Systems and Algorithms...
In the era of big data, the graph models are becoming very popular data models as they can naturally...
In the Big Data era, graph processing has been widely used to represent complex system structure, ca...
Graphs are very important parts of Big Data and widely used for modelling complex structured data wi...
Since 2006, we have been experiencing two very important developments in computing. One is that trem...
Graphs are, by nature, "unifying abstractions" that can leverage interconnectedness to represent, ex...
Presented on September 6, 2016 from 1:00 p.m.-2:30 p.m. at the Klaus Advanced Computing Building, Ro...
After vivid discussions led by the emergence of the buzzword “Big Data”, it seems that industry and ...
IEEE Software Editor-in-Chief Forrest Shull discusses the importance of building reliable systems to...
Building on foundational technologies such as many-core systems, non-volatile memories and photoni...
These slides support the oral presentations of Gordon Springer and Prasad Calyam delivered at Cyberi...
Presented on April 16, 2019 at 3:00 p.m. in the Jesse W. Mason Building, Room 2117.Oded Green is a S...
"講演者所属: Wichita State University, Kansas, USA講演日: 2020年1月14日 講演場所: エーアイ大講義室(L1)The talk starts with...
This presentation was made by Steven Skiena and Xingzhi Guo, CUNY Stonybrook. The presentation’s tit...
Gartner predicts that data and analytics innovations fueled by graph technology will increase 7x by ...
This report documents the program and the outcomes of Dagstuhl Seminar 14462 "Systems and Algorithms...