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Titlebook: Compiler Construction; 22nd International C Ranjit Jhala,Koen Bosschere Conference proceedings 2013 Springer-Verlag Berlin Heidelberg 2013

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樓主: Inoculare
11#
發(fā)表于 2025-3-23 13:10:51 | 只看該作者
Compiler-Guided Identification of Critical Sections in Parallel Codeuantitatively and as the domain specific low-level language is of limited interest, we use a standard benchmark suite for which the optimum, i.e., the minimal set of the necessary atomic block annotations is known. We removed the annotations and let the compiler attempt to rediscover them. For 5 out
12#
發(fā)表于 2025-3-23 14:11:04 | 只看該作者
Refactoring MATLABg dynamic function calls to static ones. The refactorings have been implemented using the .c. compiler framework, and an evaluation is given on a large set of . benchmarks which demonstrates the effectiveness of our approach.
13#
發(fā)表于 2025-3-23 20:55:09 | 只看該作者
0302-9743 ook constitutes the proceedings of the 22nd International Conference on Compiler Construction, CC 2013, held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2013, which took place in Rome, Italy, in March 2013.The 13 papers presented in this book were carefully re
14#
發(fā)表于 2025-3-24 00:49:33 | 只看該作者
15#
發(fā)表于 2025-3-24 05:13:30 | 只看該作者
16#
發(fā)表于 2025-3-24 07:14:32 | 只看該作者
17#
發(fā)表于 2025-3-24 14:08:46 | 只看該作者
18#
發(fā)表于 2025-3-24 16:53:27 | 只看該作者
,The Young Athlete’s Spinal Mechanics,s is the first optimal approach that has polynomial runtime and works for such a huge class of programs..An implementation is already the default register allocator in most backends of a mainstream cross-compiler for embedded systems.
19#
發(fā)表于 2025-3-24 21:40:27 | 只看該作者
Bj?rn L. Rydevik,Kjell Olmarkerhanges made. Combined with a flexible policy for controlling the granularity of traces, our analysis achieves significant speedups with little space overhead over reanalysis from scratch when evaluated with a null dereferencing client using 14 Java benchmarks.
20#
發(fā)表于 2025-3-25 00:39:57 | 只看該作者
https://doi.org/10.1007/978-1-4613-1609-1 programs with varying thread counts. Our results show that in 12 out of 15 cases where affinity impacts runtime, the policy generated by AutoFinity chose affinities that improved performance versus assignments that do not consider program and machine behavior.
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