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CGO
2009
IEEE
14 years 5 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
ISPASS
2009
IEEE
14 years 5 months ago
Lonestar: A suite of parallel irregular programs
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
Milind Kulkarni, Martin Burtscher, Calin Cascaval,...
FASE
2009
Springer
14 years 5 months ago
Reducing the Costs of Bounded-Exhaustive Testing
Abstract. Bounded-exhaustive testing is an automated testing methodology that checks the code under test for all inputs within given bounds: first the user describes a set of test...
Vilas Jagannath, Yun Young Lee, Brett Daniel, Dark...
HIPEAC
2009
Springer
14 years 5 months ago
Finding Stress Patterns in Microprocessor Workloads
Power consumption has emerged as a key design concern across the entire computing range, from low-end embedded systems to high-end supercomputers. Understanding the power character...
Frederik Vandeputte, Lieven Eeckhout
ICSE
2009
IEEE-ACM
14 years 5 months ago
Guided path exploration for regression test generation
Regression test generation aims at generating a test suite that can detect behavioral differences between the original and the modified versions of a program. Regression test gen...
Kunal Taneja, Tao Xie, Nikolai Tillmann, Jonathan ...