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ICPP
2008
IEEE
15 years 10 months ago
Machine Learning Models to Predict Performance of Computer System Design Alternatives
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...
Berkin Özisikyilmaz, Gokhan Memik, Alok N. Ch...
132
Voted
ARCS
2006
Springer
15 years 7 months ago
Large Event Traces in Parallel Performance Analysis
: A powerful and widely-used method for analyzing the performance behavior of parallel programs is event tracing. When an application is traced, performancerelevant events, such as...
Felix Wolf, Felix Freitag, Bernd Mohr, Shirley Moo...
134
Voted
TPDS
2010
93views more  TPDS 2010»
15 years 2 months ago
Self-Consistent MPI Performance Guidelines
Message passing using the Message Passing Interface (MPI) is at present the most widely adopted framework for programming parallel applications for distributed-memory and clustere...
Jesper Larsson Träff, William D. Gropp, Rajee...
174
Voted
IFIP
2010
Springer
14 years 10 months ago
Rialto 2.0: A Language for Heterogeneous Computations
Modern embedded systems are often heterogeneous in that their design requires several description paradigms, based on different models of computation and concurrency (MoCCs). In th...
Johan Lilius, Andreas Dahlin, Lionel Morel
146
Voted
HPCA
2006
IEEE
16 years 4 months ago
Last level cache (LLC) performance of data mining workloads on a CMP - a case study of parallel bioinformatics workloads
With the continuing growth in the amount of genetic data, members of the bioinformatics community are developing a variety of data-mining applications to understand the data and d...
Aamer Jaleel, Matthew Mattina, Bruce L. Jacob