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» A Java Compiler for Many Memory Models
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ACMMSP
2004
ACM
92views Hardware» more  ACMMSP 2004»
14 years 2 months ago
Instruction combining for coalescing memory accesses using global code motion
Instruction combining is an optimization to replace a sequence of instructions with a more efficient instruction yielding the same result in a fewer machine cycles. When we use it...
Motohiro Kawahito, Hideaki Komatsu, Toshio Nakatan...
IPPS
2003
IEEE
14 years 2 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
PLDI
2011
ACM
12 years 12 months ago
Safe optimisations for shared-memory concurrent programs
Current proposals for concurrent shared-memory languages, including C++ and C, provide sequential consistency only for programs without data races (the DRF guarantee). While the i...
Jaroslav Sevcík
JAVA
2001
Springer
14 years 1 months ago
Core semantics of multithreaded Java
Java has integrated multithreading to a far greater extent than most programming languages. It is also one of the only languages that specifies and requires safety guarantees for...
Jeremy Manson, William Pugh
LCPC
2000
Springer
14 years 19 days ago
Compiling Data Intensive Applications with Spatial Coordinates
Abstract. Processing and analyzing large volumes of data plays an increasingly important role in many domains of scienti c research. We are developing a compiler which processes da...
Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel ...