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Titlebook: Compiler Construction; 23rd International C Albert Cohen Conference proceedings 2014 Springer-Verlag Berlin Heidelberg 2014 GPUs.SSA form.c

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41#
發(fā)表于 2025-3-28 15:18:20 | 只看該作者
Conference proceedings 2014oint Conferences on Theory and Practice of Software, ETAPS 2014, which took place in Grenoble, France, in April 2014. The 10 full papers and 4 tool papers included in this volume were carefully reviewed and selected from 47 submissions; the book also contains one invited talk. The papers are organiz
42#
發(fā)表于 2025-3-28 20:46:57 | 只看該作者
43#
發(fā)表于 2025-3-29 01:53:47 | 只看該作者
44#
發(fā)表于 2025-3-29 03:28:50 | 只看該作者
45#
發(fā)表于 2025-3-29 07:40:06 | 只看該作者
Spinal Tumors: Magnetic Resonance Imagingis mechanism reconverges the divergent threads as early as possible. It also reduces the depth of the reconvergence stack. The available parallelism in nested branches can be effectively extracted by scheduling the basic blocks to reduce the effect of stalls due to memory accesses. It can also incre
46#
發(fā)表于 2025-3-29 14:15:33 | 只看該作者
Young M. Lee,Joseph Osorio,Sanjay Dhallations. We demonstrate the effectiveness of our approach in detecting and exploiting parallelism using sequential codes from the Nas benchmark suite. We achieve an average speedup of 3.2x, and up to 99x, over the sequential baseline. On average, this is 1.42 times faster than state-of-the-art specul
47#
發(fā)表于 2025-3-29 19:18:06 | 只看該作者
48#
發(fā)表于 2025-3-29 21:53:01 | 只看該作者
Parameterized Construction of Program Representations for Sparse Dataflow Analysesly of data-flow problems that can be partitioned per variables. However, contrary to SEGs, we can handle - sparsely - problems that are not in this family. We have tested our ideas in the LLVM compiler, comparing different program representations in terms of size and construction time.
49#
發(fā)表于 2025-3-30 00:06:43 | 只看該作者
50#
發(fā)表于 2025-3-30 05:42:59 | 只看該作者
Improving the Performance of X10 Programs by Clock Removaln. Operations with the same date constitute a ., fronts are executed sequentially in order of increasing dates, while operations in a front are executed in parallel if possible. Depending on the nature of the program, this may entail some overhead, which can be reduced to zero for polyhedral program
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