Data Intensive Computing is characterized by problems where data is the primary challenger, whether it is the complexity, size, or rate of the data acquisition. The hardware platform required for a data intensive computing environment consists of tens, sometimes even hundreds, of thousands of compute nodes wit
Traditional data centers are designed with a rigid architecture of fit-for-purpose servers that prov...
Advanced data-intensive computing represents an active area of research that spans across a signific...
This thesis considers the problem of the optimal hardware architecture for advanced data management ...
The work presented in this thesis focuses on the exploration of alternative architectures and comput...
Abstract—MapReduce has emerged as a popular and easy-to-use programming model for numerous organizat...
As a result of the continuing information explosion, many organizations are drowning in data and the...
The design of a hardware configuration to fit the varying needs of any given application system is a...
Highly efficient computing in the academic and research domain: a survey of modern networks using wo...
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts ...
Networks such as road networks, utility networks, computer and communication networks and even socia...
The performance of supercomputers is not growing anymore at the rate it once used to. Several years ...
The goal of this study is to investigate system bottlenecks for high bandwidth applications and how ...
• Good understanding of the TCP protocols and ability to recompile the linux kernel • Basics of expe...
Efficient data motion has been key in high performance computing almost since the first electronic c...
Future Generation Computer Systems presents a special section on high-performance networking for dis...
Traditional data centers are designed with a rigid architecture of fit-for-purpose servers that prov...
Advanced data-intensive computing represents an active area of research that spans across a signific...
This thesis considers the problem of the optimal hardware architecture for advanced data management ...
The work presented in this thesis focuses on the exploration of alternative architectures and comput...
Abstract—MapReduce has emerged as a popular and easy-to-use programming model for numerous organizat...
As a result of the continuing information explosion, many organizations are drowning in data and the...
The design of a hardware configuration to fit the varying needs of any given application system is a...
Highly efficient computing in the academic and research domain: a survey of modern networks using wo...
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts ...
Networks such as road networks, utility networks, computer and communication networks and even socia...
The performance of supercomputers is not growing anymore at the rate it once used to. Several years ...
The goal of this study is to investigate system bottlenecks for high bandwidth applications and how ...
• Good understanding of the TCP protocols and ability to recompile the linux kernel • Basics of expe...
Efficient data motion has been key in high performance computing almost since the first electronic c...
Future Generation Computer Systems presents a special section on high-performance networking for dis...
Traditional data centers are designed with a rigid architecture of fit-for-purpose servers that prov...
Advanced data-intensive computing represents an active area of research that spans across a signific...
This thesis considers the problem of the optimal hardware architecture for advanced data management ...