Data is predicted to transform the 21st century, fuelled by an exponential growth in the amount of data captured, generated and archived. Traditional high performance machines are optimized for numerical computing rather than IO performance or for supporting large memory applications. This paper discusses a new machine, called FlashLite, which addresses these challenges. The paper describes the motivation for the design, and discusses some driving application themes
This paper describes the architecture of eNVy, a large non-volatile main memory storage system built...
As capacity for data collection and storage continues to grow, data analytics requirements regularl...
In this abstract, we study the performance and energy tradeoffs involved in migrating data analysis ...
International audience4 zettabytes (4 billion terabytes) of data generated in 2013, 44 zettabytes pr...
The storage-intensive supercomputing (SISC) project [1] at LLNL is a research effort that is current...
Modern scientific discovery is increasingly driven by large-scale supercomputing simulations, follow...
Presented is a speculative server blade architecture called a FlashBlade that combines 100x I/O perf...
Modern scientific discovery is increasingly driven by large-scale supercomputing simulations, follow...
University of Minnesota Ph.D. dissertation. October 2010. Major: Electrical engineering. Advisors: D...
Most of the current applications of electronics require non-volatile memories, which can keep stored...
Fast content-based searches and complex analytics of the vast amount of data collected via social me...
Modern scientific discovery often involves running complex appli-cation simulations on supercomputer...
Abstract: Green computing or energy saving when processing information is primarily considered a tas...
Intelligent solid-state drives (iSSDs) allow execution of limited application functions (e.g., data ...
Data and storage systems are one of the most important issues to tackle when dealing with cloud comp...
This paper describes the architecture of eNVy, a large non-volatile main memory storage system built...
As capacity for data collection and storage continues to grow, data analytics requirements regularl...
In this abstract, we study the performance and energy tradeoffs involved in migrating data analysis ...
International audience4 zettabytes (4 billion terabytes) of data generated in 2013, 44 zettabytes pr...
The storage-intensive supercomputing (SISC) project [1] at LLNL is a research effort that is current...
Modern scientific discovery is increasingly driven by large-scale supercomputing simulations, follow...
Presented is a speculative server blade architecture called a FlashBlade that combines 100x I/O perf...
Modern scientific discovery is increasingly driven by large-scale supercomputing simulations, follow...
University of Minnesota Ph.D. dissertation. October 2010. Major: Electrical engineering. Advisors: D...
Most of the current applications of electronics require non-volatile memories, which can keep stored...
Fast content-based searches and complex analytics of the vast amount of data collected via social me...
Modern scientific discovery often involves running complex appli-cation simulations on supercomputer...
Abstract: Green computing or energy saving when processing information is primarily considered a tas...
Intelligent solid-state drives (iSSDs) allow execution of limited application functions (e.g., data ...
Data and storage systems are one of the most important issues to tackle when dealing with cloud comp...
This paper describes the architecture of eNVy, a large non-volatile main memory storage system built...
As capacity for data collection and storage continues to grow, data analytics requirements regularl...
In this abstract, we study the performance and energy tradeoffs involved in migrating data analysis ...