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CAREER: Interprocedural Compilers for Distributed Address Space Machines

CAREER: Interprocedural Compilers for Distributed Address Space Machines
职业:分布式地址空间机的过程间编译器
批准号:
9733520
负责人:
Gagan Agrawal
金额:
$22.43万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-08-15 至 2002-01-31

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中文摘要
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英文摘要
The goal of this project is to develop novel interprocedural techniques for compiling scientific and engineering applications on distributed address space parallel machines. With recent advances in parallel and supercomputing architectures, the application programmers have unprecedented computational power available. However, it has also become increasingly difficult to harness this power. The parallelizing and optimizing compilers usually turn out to be inadequate, since they restrict the analysis to a single procedure level. However, by developing a set of novel effective and efficient interprocedural techniques, the efficacy of the parallel compilers can be enhanced significantly, without significallty slowing the compilation process. In message passing machines and distributed shares memory machines, the compilation process involves several complex tasks, including data distribution, locality management, placement of communication and/or synchronization, and aggregating remote memory accesses. This project will develop new interprocedural techniques for performing these phases of analysis interprocedurally.
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Collaborative Research: CNS Core: Small: A Compilation System for Mapping Deep Learning Models to Tensorized Instructions (DELITE)
Collaborative Research: CNS Core: Small: A Compilation System for Mapping Deep Learning Models to Tensorized Instructions (DELITE)
OAC Core: SHF: SMALL: ICURE -- In-situ Analytics with Compressed or Summary Representations for Extreme-Scale Architectures
SHF: Small: K-Way Speculation for Mapping Applications with Dependencies on Modern HPC Systems
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