Titlebook: Compiling Parallel Loops for High Performance Computers; Partitioning, Data A David E. Hudak,Santosh G. Abraham Book 1993 Springer Science+

儲備

0893-3405 03 4. 5 Partitioning . . . . . . · 103 4. 6 Experimental Results . 117 4. 7 Conclusion. . . . . . . · 121 5 COLLECTIVE PARTITIONING AND REMAPPING FOR MULTIPLE LOOP NESTS 125 5. 1 Introduction. . . . . . . . . 125 5. 2 Program Enclosure Trees. . 128 5. 3 The CPR Algorithm . . 132 5. 4 Experimental Re

magnate

conduct

Inexorable

Workplace and Organizational Spirituality,lobal array. In order for these methods to be applicable to a wide range of parallel applications, they must be capable of optimizing multiple data-parallel loops accessing many different arrays with varying access patterns. Toward that end, we have developed the CPR algorithm for the automatic partitioning of multiple data-parallel loops.

簡潔

射手座

Ischemic-Stroke

Thyroid-Gland

Phagocytes

Texture

https://doi.org/10.1007/978-3-030-02997-5rrelated computation structure, the . computation structure. Furthermore, we also consider row/column multicast communication. We describe procedures for identifying the computational structure by examining loop indices and for identifying communication patterns by examining array subscript expressi