10.1145/2537148.2537154CoNEXT Student Workhop 2013 - Proceedings of the 2013 Workshop1-
To cope with the increasing difference between processor and main memory speeds, modern computer sys...
The memory system is a fundamental performance and energy bottleneck in al-most all computing system...
As the performance of DRAM devices falls more and more behind computing capabilities, the limitation...
Named Data Networking (NDN), as one of the candidates for a future Internet, has the potential to ov...
Efficient implementations of network science tools to facilitate research into human (semantic) memo...
Large-scale computational problems that need to be addressed in modern computers, such as deep learn...
Network applications often define policies to manage network traffic based on its attributes (e.g., ...
One of the most critical challenges for today's and future data-intensive and big-data problems is d...
TCP/IP protocol processing has become the dominant overhead in network servers. With the advent of m...
Compute clusters, consisting of many, uniformly built nodes, are used to run a large spectrum of dif...
In-memory computing is a promising computing paradigm due to its capability to alleviate the memory ...
The high performance requirements of nowadays computer networks are limiting their ability to suppor...
Memcache is a distributed in-memory data store designed to reduce database load for web applications...
To cope with the increasing difference between processor and main memory speeds, modern computer sys...
Processing-in-memory (PIM) or near-data processing (NDP) has been researched during the late 90s but...
To cope with the increasing difference between processor and main memory speeds, modern computer sys...
The memory system is a fundamental performance and energy bottleneck in al-most all computing system...
As the performance of DRAM devices falls more and more behind computing capabilities, the limitation...
Named Data Networking (NDN), as one of the candidates for a future Internet, has the potential to ov...
Efficient implementations of network science tools to facilitate research into human (semantic) memo...
Large-scale computational problems that need to be addressed in modern computers, such as deep learn...
Network applications often define policies to manage network traffic based on its attributes (e.g., ...
One of the most critical challenges for today's and future data-intensive and big-data problems is d...
TCP/IP protocol processing has become the dominant overhead in network servers. With the advent of m...
Compute clusters, consisting of many, uniformly built nodes, are used to run a large spectrum of dif...
In-memory computing is a promising computing paradigm due to its capability to alleviate the memory ...
The high performance requirements of nowadays computer networks are limiting their ability to suppor...
Memcache is a distributed in-memory data store designed to reduce database load for web applications...
To cope with the increasing difference between processor and main memory speeds, modern computer sys...
Processing-in-memory (PIM) or near-data processing (NDP) has been researched during the late 90s but...
To cope with the increasing difference between processor and main memory speeds, modern computer sys...
The memory system is a fundamental performance and energy bottleneck in al-most all computing system...
As the performance of DRAM devices falls more and more behind computing capabilities, the limitation...
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