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Titlebook: Languages, Compilers, and Run-Time Systems for Scalable Computers; 4th International Wo David R. O’Hallaron Conference proceedings 1998 Spr

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樓主: Braggart
31#
發(fā)表于 2025-3-26 23:51:02 | 只看該作者
32#
發(fā)表于 2025-3-27 03:43:12 | 只看該作者
Evaluating the Effectiveness of a Parallelizing Compiler, Origin 2000. Based upon our experimental results and user experiences, we describe some desirable properties of the compilation technology and software tools that would be helpful to the applications community.
33#
發(fā)表于 2025-3-27 07:37:12 | 只看該作者
Comparing Reference Counting and Global Mark-and-Sweep on Parallel Computers,cally, it is bad when applications use deeply nested data structures such as distributed trees. 2) the cost of reference counting has a portion that is independent of the heap size while that of global mark-and-sweep does not. We confirmed these observations through experiments using three parallel applications.
34#
發(fā)表于 2025-3-27 11:38:32 | 只看該作者
Instrumentation Database for Performance Analysis of Parallel Scientific Applications, this approach influences the design of performance analysis components. We further motivate our approach with an example using a sparse matrix vector product code. We conclude by discussing some of the key implementation issues and outlining future plans.
35#
發(fā)表于 2025-3-27 14:45:20 | 只看該作者
Design of the GODIVA Performance Measurement System,ogram execution. This paper provides an overview of the system and discusses several of the most important and unique design decisions that differentiate Godiva from other performance measurement systems.
36#
發(fā)表于 2025-3-27 17:56:38 | 只看該作者
37#
發(fā)表于 2025-3-28 00:40:22 | 只看該作者
38#
發(fā)表于 2025-3-28 02:18:36 | 只看該作者
A Performance Prediction Framework for Data Intensive Applications on Large Scale Parallel Machinesy large scale configurations is a technique called . where the processing structure of the application is embedded in the simulator, while preserving data dependencies and data distributions. We evaluate our performance prediction tool using a set of three data-intensive applications.
39#
發(fā)表于 2025-3-28 07:07:50 | 只看該作者
40#
發(fā)表于 2025-3-28 11:28:45 | 只看該作者
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