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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 7 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
MOBISYS
2009
ACM
16 years 7 months ago
EnTracked: energy-efficient robust position tracking for mobile devices
An important feature of a modern mobile device is that it can position itself. Not only for use on the device but also for remote applications that require tracking of the device....
Mikkel Baun Kjærgaard, Jakob Langdal, Torben...
HPCA
2008
IEEE
16 years 7 months ago
Performance and power optimization through data compression in Network-on-Chip architectures
The trend towards integrating multiple cores on the same die has accentuated the need for larger on-chip caches. Such large caches are constructed as a multitude of smaller cache ...
Reetuparna Das, Asit K. Mishra, Chrysostomos Nicop...
HPCA
2007
IEEE
16 years 7 months ago
MemTracker: Efficient and Programmable Support for Memory Access Monitoring and Debugging
Memory bugs are a broad class of bugs that is becoming increasingly common with increasing software complexity, and many of these bugs are also security vulnerabilities. Unfortuna...
Guru Venkataramani, Brandyn Roemer, Yan Solihin, M...
HPCA
2007
IEEE
16 years 7 months ago
Fully-Buffered DIMM Memory Architectures: Understanding Mechanisms, Overheads and Scaling
Performance gains in memory have traditionally been obtained by increasing memory bus widths and speeds. The diminishing returns of such techniques have led to the proposal of an ...
Brinda Ganesh, Aamer Jaleel, David Wang, Bruce L. ...