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131
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ESCIENCE
2006
IEEE
15 years 10 months ago
Grid Approach to Embarrassingly Parallel CPU-Intensive Bioinformatics Problems
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a s...
Heinz Stockinger, Marco Pagni, Lorenzo Cerutti, La...
135
Voted
IPPS
2006
IEEE
15 years 10 months ago
Detecting phases in parallel applications on shared memory architectures
Most programs are repetitive, where similar behavior can be seen at different execution times. Algorithms have been proposed that automatically group similar portions of a program...
Erez Perelman, Marzia Polito, Jean-Yves Bouguet, J...
CODES
2005
IEEE
15 years 9 months ago
Iterational retiming: maximize iteration-level parallelism for nested loops
Nested loops are the most critical sections in many scientific and Digital Signal Processing (DSP) applications. It is important to study effective and efficient transformation ...
Chun Xue, Zili Shao, Meilin Liu, Edwin Hsing-Mean ...
76
Voted
ISCA
2003
IEEE
88views Hardware» more  ISCA 2003»
15 years 9 months ago
Dynamically Managing the Communication-Parallelism Trade-off in Future Clustered Processors
Clustered microarchitectures are an attractive alternative to large monolithic superscalar designs due to their potential for higher clock rates in the face of increasingly wire-d...
Rajeev Balasubramonian, Sandhya Dwarkadas, David H...
140
Voted
IPPS
2002
IEEE
15 years 8 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan