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LCPC
1993
Springer
13 years 8 months ago
Maximizing Loop Parallelism and Improving Data Locality via Loop Fusion and Distribution
Abstract. Loop fusion is a program transformation that merges multiple loops into one. It is e ective for reducing the synchronization overhead of parallel loops and for improving ...
Ken Kennedy, Kathryn S. McKinley
ICPP
1996
IEEE
13 years 8 months ago
Polynomial-Time Nested Loop Fusion with Full Parallelism
Data locality and synchronization overhead are two important factors that affect the performance of applications on multiprocessors. Loop fusion is an effective way for reducing s...
Edwin Hsing-Mean Sha, Chenhua Lang, Nelson L. Pass...
ICPP
1995
IEEE
13 years 8 months ago
Fusion of Loops for Parallelism and Locality
Loop fusion improves data locality and reduces synchronization in data-parallel applications. However, loop fusion is not always legal. Even when legal, fusion may introduce loop-...
Naraig Manjikian, Tarek S. Abdelrahman
IFL
2005
Springer
107views Formal Methods» more  IFL 2005»
13 years 10 months ago
With-Loop Fusion for Data Locality and Parallelism
With-loops are versatile array comprehensions used in the functional array language SaC to implement universally applicable array operations. We describe the fusion of with-loops a...
Clemens Grelck, Karsten Hinckfuß, Sven-Bodo ...
IEEEPACT
1998
IEEE
13 years 9 months ago
A Matrix-Based Approach to the Global Locality Optimization Problem
Global locality analysis is a technique for improving the cache performance of a sequence of loop nests through a combination of loop and data layout optimizations. Pure loop tran...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...