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Titlebook: Languages and Compilers for High Performance Computing; 17th International W Rudolf Eigenmann,Zhiyuan Li,Samuel P. Midkiff Conference proce

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41#
發(fā)表于 2025-3-28 14:48:12 | 只看該作者
Compiling High-Level Languages for Vector Architectures,res since their compilers can generate code using the specific idioms that are most effective for the low-level vectorizing compiler. This leads to source code that is clearer and more maintainable, has excellent performance across the full spectrum of vector architectures, and therefore improves programmer productivity.
42#
發(fā)表于 2025-3-28 21:44:51 | 只看該作者
The Use of Traces for Inlining in Java Programs,tion. This increase in performance is achieved at the expense of a code expansion of 47%. Further, this performance is slightly better than that achieved when using a greedy algorithm. We conclude that traces may be used effectively to perform inlining, although code expansion and trace collection overhead must be addressed.
43#
發(fā)表于 2025-3-29 02:26:08 | 只看該作者
Experiences in Using Cetus for Source-to-Source Transformations,structure. We believe the research community can benefit from such a discussion, as shown by the strong interest in the mini-workshop on compiler research infrastructures where some of this information was first presented.
44#
發(fā)表于 2025-3-29 03:28:17 | 只看該作者
An Overview of the Open Research Compiler,r. We discuss the development methodology that is important to achieving the objectives of ORC. Performance comparisons with other IPF compilers and a brief summary of the research work based on ORC are also presented.
45#
發(fā)表于 2025-3-29 09:38:55 | 只看該作者
Trimaran: An Infrastructure for Research in Instruction-Level Parallelism,architecture research can be conducted by varying the HPL-PD machine via the machine description language HMDES. Trimaran also provides a detailed simulation environment and a flexible performance monitoring environment that automatically tracks the machine as it is varied.
46#
發(fā)表于 2025-3-29 14:25:41 | 只看該作者
Phase-Based Miss Rate Prediction Across Program Inputs,on is over 98% accurate for a set of floating-point programs. The predicted CMR-traces matches the simulated ones in spite of dramatic fluctuations of the miss rate over time. This technique can be used for improving dynamic optimization, benchmarking, and compiler design.
47#
發(fā)表于 2025-3-29 17:24:06 | 只看該作者
48#
發(fā)表于 2025-3-29 20:36:19 | 只看該作者
49#
發(fā)表于 2025-3-30 03:03:11 | 只看該作者
978-3-540-28009-5Springer-Verlag Berlin Heidelberg 2005
50#
發(fā)表于 2025-3-30 06:02:01 | 只看該作者
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